Matlab & Simulink programming Research Papers (original) (raw)

Abstract: The three dimensional (3D) flight of a golf ball at taking into account the Magnus effect is studied in the paper. For this purpose it is composed a system of six nonlinear differential equations. To determine the 3D orientation of the ball the rotations around all three axes are given by the so-called Cardan angles instead of classical Euler ones. The high nonlinear system differential equations are solved numerically by a special program created in the MatLab-Simulink environment. It is founded the laws of motion, velocities and accelerations on all six coordinates, as well as the projections of trajectory on the three coordinate planes. The presented analytical base and numerical results in the paper increasing and expanding the knowledge in the theory of general motion of spherical solid and leads to new more extensive research in this complicated area.

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- Mechanics, Fluid Mechanics, Aerodynamics, Sport

Matlab For Control Engineering Katsuhiko Ogata

- by Álvaro Lobos Mora
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- Control Systems Engineering, Control Engineering, Matlab, Control Systems
- by Hemant Singh
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- Matlab, Matlab & Simulink programming

Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour-based invariants in the presence of large illumination changes between training and test data, when appearance changes due to cast shadows and non-Lambertian effects are significant. Specifically, there are three main contributions: (i) we employ a more sophisticated photometric model of the camera and show how its parameters can be estimated, (ii) we derive several novel colour-based face invariants, and (iii) on a large database of video sequences we examine and evaluate the largest number of colour-based representations in the literature. Our results suggest that colour invariants do have a substantial discriminative power which may increase the robustness and accuracy of recognition from low resolution images.

- by Ognjen Arandjelovic
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- Engineering, Electrical Engineering, Electronic Engineering, Computer Science

Design a nonlinear controller for second order nonlinear uncertain dynamical systems (e.g., Internal Combustion Engine) is one of the most important challenging works. This paper focuses on the design of a robust backstepping adaptive feedback linearization controller (FLC) for internal combustion (IC) engine in presence of uncertainties. In order to provide high performance nonlinear methodology, feedback linearization controller is selected. Pure feedback linearization controller can be used to control of partly unknown nonlinear dynamic parameters of IC engine. In order to solve the uncertain nonlinear dynamic parameters, implement easily and avoid mathematical model base controller, Mamdani’s performance/error-based fuzzy logic methodology with two inputs and one output and 49 rules is applied to pure feedback linearization controller. The results demonstrate that the error-based fuzzy feedback linearization controller is a model-free controllers which works well in certain and partly uncertain system. Pure feedback linearization controller and error-based feedback linearization like controller with have difficulty in handling unstructured model uncertainties. To solve this problem applied backstepping-based tuning method to error-based fuzzy feedback linearization controller for adjusting the feedback linearization controller gain ( ). This controller has acceptable performance in presence of uncertainty (e.g., overshoot=1%, rise time=0.48 second, steady state error = 1.3e-9 and RMS error=1.8e-11).

- by FARZIN PILTAN and +1
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- Electrical Engineering, Robotics, Control Systems Engineering, Artificial Intelligence

Internet of Things (IoT) and services is an interesting topic with a wide range of potential applications like smart home systems, health care, telemedicine, and intelligent transportation. Traditionally, key agreement schemes have been evaluated to access IoT services which are highly susceptible to security. Recently, Biometric-based authentication is also used to access IoT services and devices. They are involving a larger amount of memory with increased running time and found to be computationally infeasible. To provide robust authentication for IoT services, Histogram of Neighborhood Tripartite Authentication with Fingerprint Biometrics (HNTA-FB) for IoT services is proposed in this paper. This proposed HNTA-FB method uses binary patterns and a histogram of features to extract the region of interest. To reduce the memory requirements while providing access to IoT services, Histogram of Neighborhood Binary Pattern Pre-processing (HNBPP) model is proposed. The discriminative power of Neighbourhood Binary Pattern Registration (NBPR) is integrated with the normalized sparse representation based on the histogram. Additionally, this work presents a new Tripartite User Authentication model for fingerprint biometric template matching process. When compared with different state-of-the-art methods, the proposed method depicts significantly improved performance in terms of matching accuracy, computational overhead and execution speed and is highly effective in delivering smart home services.

Dynamically changing background ("dynamic background") still presents a great challenge to many motion-based video surveillance systems. In the context of event detection, it is a major source of false alarms. There is a strong need from the security industry either to detect and suppress these false alarms, or dampen the effects of background changes, so as to increase the sensitivity to meaningful events of interest. In this paper, we restrict our focus to one of the most common causes of dynamic background changes: that of swaying tree branches and their shadows under windy conditions. Considering the ultimate goal in a video analytics pipeline, we formulate a new dynamic background detection problem as a signal processing alternative to the previously described but unreliable computer vision-based approaches. Within this new framework, we directly reduce the number of false alarms by testing if the detected events are due to characteristic background motions. In addition, we introduce a new dataset suitable for the evaluation of dynamic background detection. It consists of real-world events detected by a commercial surveillance system from two static surveillance cameras. The research question we address is whether dynamic background can be detected reliably and efficiently using simple motion features and in the presence of similar but meaningful events such as loitering. Inspired by the tree aerodynamics theory, we propose a novel method named local variation persistence (LVP), that captures the key characteristics of swaying motions. The method is posed as a convex optimization problem whose variable is the local variation. We derive a computationally efficient algorithm for solving the optimization problem, the solution of which is then used to form a powerful detection statistic. On our newly collected dataset, we demonstrate that the proposed LVP achieves excellent detection results and outperforms the best alternative adapted from existing art in the dynamic background literature.

- by Ognjen Arandjelovic
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- Engineering, Electrical Engineering, Electronic Engineering, Computer Science

Refer to this research, a linear error-based tuning sliding mode controller (LTSMC) is proposed for robot manipulator. Sliding mode controller (SMC) is an important nonlinear controller in a partly uncertain dynamic system’s parameters. Sliding mode controller has difficulty in handling unstructured model uncertainties. It is possible to solve this problem by combining sliding mode controller and adaption law which this method can helps improve the system’s tracking performance by online tuning method. Since the sliding surface gain ( ) is adjusted by new linear tuning method, it is continuous. In this research new is obtained by the previous multiple sliding surface slopes updating factor which is a coefficient varies between half to one. Linear error-based tuning sliding mode controller is stable model-based controller which eliminates the chattering phenomenon without to use the boundary layer saturation function. Lyapunov stability is proved in linear error-based tuning sliding mode controller based on switching (sign) function. This controller has acceptable performance in presence of uncertainty (e.g., overshoot=0%, rise time=0.4 second, steady state error = 1.8e-10 and RMS error=1.16e-12).

- by FARZIN PILTAN and +1
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- Electrical Engineering, Electronic Engineering, Robotics, Control Systems Engineering

The minimum rule base Proportional Integral Derivative (PID) Fuzzy Computed Torque Controller with application to spherical motor is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA). In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and acceptable trajectory follow disturbance to control of spherical motor. However computed torque controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor‟s dynamic equation. This research is used to reduce or eliminate the computed torque controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Index Term—PID

- by FARZIN PILTAN and +1
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- Electrical Engineering, Electronic Engineering, Robotics, Control Systems Engineering

The resonance converters are widely used in induction heating, emergency power supplies or for signal filtering in electrical power conversion. Today, research in the field of resonance converters represents an important part of the research, especially with the development of digital calculators and control units such as DSP, FPGA, and Microcontrollers. The digital control is a branch of control theory that uses digital computers and calculators to act as system controllers, it has been greatly used in different applications such as the power transmission and if compared to traditional analogue control the digital control has many advantages. In this work, we have mainly interested in the design and implementation of a singlephase resonant inverter witch controlled by an Arduino board. The objective is to achieve high-frequency waveforms signals and take a look at a very attractive physical phenomenon called the resonance. The obtained results show the effectiveness and the operating simplicity of the series resonant inverter with two switches and the effectiveness of the digital control through the Arduino board at high-frequency levels.

- by Rishabh Gupta
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- Modeling and Simulation, GAS TURBINE, Combined Cycle Power Plants, Matlab
- by pankaj bindas
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- Image Processing, Matlab & Simulink programming

This paper presents the implementation of a photovoltaic model using Matlab software, which can be representative of PV cell module, and array for easy use on simulation. The proposed model is designed with a user-friendly icon and a dialog box like Simulink block libraries. This makes the PV model easily simulated and analyzed in conjunction with power electronics for a maximum power point tracker.

- by IJEEE APM and +1
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- Photovoltaics, Matlab, Photovoltaic Solar Cells, Solar Energy

Kigali, the capital city of Rwanda is a highly sloped region and the construction of roads to reach all remote areas within the city is economically and socially unfeasible. While the population in this city was increasing on daily basis, the problem with people mobility from remote areas has become a burden to the government. As the construction of new roads all around, especially in areas with that hilly topography is realistically quite expensive, both traffic congestion and long queues of people waiting buses remain daily challenges. This study on aerial cable car as alternative transport mode consisted in identification of areas with more mobility problems, analysis of respective topography and proposal of adequate lines. The review of available literature, sites exploration and interview with local people were performed. As results, five metro-cable lines were proposed and respective coordinates (elevation, location, USR, NISR) were collected using GPS. Research established that the system would be cost effective and technically feasible, as the more loaded Line C would cost 14,503,242,000 Rwf (around 14.2M Euro). Also, this transport mode was found to be sustainable as the construction cost of the line C would be covered just after 10 months of its operation.

The ability of Minkowski Functionals to characterize local structure in different biological tissue types has been demonstrated in a variety of medical image processing tasks. We introduce anisotropic Minkowski Functionals (AMFs) as a novel variant that captures the inherent anisotropy of the underlying gray-level structures. To quantify the anisotropy characterized by our approach, we further introduce a method to compute a quantitative measure motivated by a technique utilized in MR diffusion tensor imaging, namely fractional anisotropy. We showcase the applicability of our method in the research context of characterizing the local structure properties of trabecular bone micro-architecture in the proximal femur as visualized on multi-detector CT. To this end, AMFs were computed locally for each pixel of ROIs extracted from the head, neck and trochanter regions. Fractional anisotropy was then used to quantify the local anisotropy of the trabecular structures found in these ROIs and to compare its distribution in different anatomical regions. Our results suggest a significantly greater concentration of anisotropic trabecular structures in the head and neck regions when compared to the trochanter region (p < 10-4). We also evaluated the ability of such AMFs to predict bone strength in the femoral head of proximal femur specimens obtained from 50 donors. Our results suggest that such AMFs, when used in conjunction with multi-regression models, can outperform more conventional features such as BMD in predicting failure load. We conclude that such anisotropic Minkowski Functionals can capture valuable information regarding directional attributes of local structure, which may be useful in a wide scope of biomedical imaging applications.

- by Titas De
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- Bioengineering, Artificial Intelligence, Computer Vision, Image Processing

Un système photovoltaïque peut être soumis au cours de son fonctionnement, à différents défauts qui nécessitent une certaine approche pour les détecter. Vu la complexité des méthodes classiques et ses limitations, il existe des techniques qui font partie des méthodes émergentes comme les réseaux de neurones artificiels qu'ils ont prouvé leur efficacité dans beaucoup de domaines. Dans ce travail, nous nous sommes intéressés spécifiquement à la détection et la localisation des défauts du générateur photovoltaïque (GPV) par l'approche neuronale.

Comme tout processus industriel, un système photovoltaïque peut être soumis, au cours de son fonctionnement, à différents défauts et anomalies conduisant à une baisse de la performance du système et voire à son indisponibilité. Permettre de diagnostiquer finement et de faire de la détection et de localisation de défauts dans une installation photovoltaïque réduit les coûts de maintenance et surtout augmente la productivité. Dans ce travail, nous nous intéressons spécifiquement à la détection et la classification de défauts d'un générateur photovoltaïque (GPV) en utilisant l'approche neuronale. Les performances de l'approche neuronale sont analysées sur la base d'une comparaison avec la méthode de seuillage. Abstract-As every industrial process, a photovoltaic system may subject, during his operation, to various faults and abnormalities leading to a drop of its efficiency up to its unavailability. A precise diagnosis and a fault detection and isolation make it possible to reduce the maintenance costs and above all increase the yield. In this work, a focus has been made on the fault detection and classification in the photovoltaic generator using the neural approach (Artificial Neural Network: ANN). The ANN approach is compared to the thresholding method.
Mots-clés: Générateur photovoltaïque-Détection et classification des défauts-Méthode de seuillage-Réseaux de neurones.

This paper describes the design and implementation of robust nonlinear sliding mode control strategies for robot manipulators whose dynamic or kinematic models are uncertain. Therefore a fuzzy sliding mode tracking controller for robot manipulators with uncertainty in the kinematic and dynamic models is design and analyzes. The controller is developed based on the unit quaternion representation so that singularities associated with the otherwise commonly used three parameter representations are avoided. Simulation results for a planar application of the continuum or hyper-redundant robot manipulator (CRM) are provided to illustrate the performance of the developed adaptive controller. These manipulators do not have rigid joints, hence, they are difficult to model and this leads to significant challenges in developing high-performance control algorithms. In this research, a joint level controller for continuum robots is described which utilizes a fuzzy methodology component to compensate for dynamic uncertainties.

- by FARZIN PILTAN and +1
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- Electrical Engineering, Robotics, Control Systems Engineering, Dynamical Systems

In industries, the three phase squirrel cage induction motor is widely used due to its simple construction, robust design and low operational costs. The exploitation of squirrel cage induction motor with power semiconductor devices based inverters presents the greater advantages on cost and energy efficiency, compared with other industrial solutions for varying speed applications. Since, Inverter fed-induction motors are gathering great attractiveness for multi-megawatt industrial drive applications these days. In the present paper, an extensive simulation has been carried out for open and closed loop models of 3HP, 50 Hz, 1430 RPM switching function based voltage source inverter fed into induction motor. The transient analysis has been carried out by both models. The analysis has been carried out in the recent MATLAB/Simluink environment. The open and closed loop models give encouraging results and observed that the closed loop model gives better results as compared to open loop model with reduced harmonics. Six motor signatures are used for analysis purpose; these are stator current, rotor current, rotor speed, electromagnetic torque, q-axis rotor flux and q- axis stator flux respectively. Though, it has been seen that the stator current parameter has been widely used parameter in last two decades with Motor Current Signature Analysis (MCSA). Therefore, in the harmonic analysis only stator current parameter is used. The torque control method is used for controlling the induction motor in closed loop due to its advantages over vector or field-control method.

- by Kiran K U M A R Kudumula
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- Mechanical Engineering, Design, Instructional Design, Curriculum Design

In the field of operations research, modelling of transportation problem is fundamental in solving most real
life problems as far optimization is concerned. It is clear that a lot more effort has been put in by many researchers in
seek of appropriate solution methods to such problem. Vogel’s Approximation Method (VAM), among the class of
algorithms provided to solve the Initial Basic Feasible Solution (IBFS) proved to be best. Likewise is the Modified
Distribution Method in testing the optimality of the IBFS. However, for some time now, manual calculations and
LINDO are the tools used by most researchers in the application of these efficient proposed techniques. In this work, an equivalent MATLAB program was written that would aid in the computation of such problems with ease especially
when the problem at hand has a larger cost matrix.

This research aims at discussing the effective performances of Power System Stabilizer (PSS) and Static Synchronous Compensator (STATCOM) considered separately in damping oscillations on the 330KV North-Central network of Nigerian grid system. The result of this study reveals a better damping controller between the PSS and STATCOM. Placement of the STATCOM was done optimally using GA, whereas the location of the PSS in requisite generator is determined by eigenvalues analysis and damping coefficient. Simulations were carried out using PSAT to evaluate the performance of the PSS and STATCOM in damping oscillations of North-Central network of Nigeria 330KV grid system. By simulation, it was observed that the damping effect of PSS was limited to the swings of the generator and has little or no effect on the inter-area oscillations while STATCOM has pronounced effect on damping the inter-area oscillations.

- by James Ambafi and +1
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- Control Systems Engineering, Applied Mathematics, Research Methodology, Project Management

The problem of quality electrical energy provided to the users has arisen. This is due to the increasing presence in network of nonlinear loads.They constitute a harmonic pollution source of the network, which generate many disturbances, and disturb the optimal operation of electrical equipments. This work, proposed a solution to eliminate the harmonics introduced by the nonlinear loads. It presents the analysis and simulation using Matlab Simulink of a active power filter (APF) compensating the harmonics and reactive power created by nonlinear loads in steady and in transients. The usefulness of the simulation approach to APF is demonstrated , have a better power quality insight using Matlab Simulink in order to develop new fuzzy logic controller based active power filter.

- by IJSRP Journal
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- Fuzzy Logic, Fuzzy Logic Control, Matlab, Simulink

MATLAB FOR MECHANICAL ENGINEERS

- by Kiran K U M A R Kudumula
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- Mechanical Engineering, Robotics, Design, Instructional Design

Nous allons entamer ce rapport avec une première partie sue L’éco-conception, la seconde partie consiste à réaliser un synthétiseur de fréquence à base PLL à l’aide du Matlab/Similunk.
Dans une troisième partie nous allons réaliser les architectures de « Hartley », «Weaver », et Finalement un un mini projet : synthèse d’un ﬁltre passe bas faisant actuellement l’objet d’études de recherche et développement.

MAKİNA MÜHENDİSLİĞİ UYGULAMALARI

- by Ezgi Yıldırım Tortoç
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- Engineering, Suspension, Matlab & Simulink programming, Motor Vehicle

Robustness is of crucial importance in control systems design, because real engineering
systems are vulnerable to external disturbance and measurement noise, and
there are always discrepancies between mathematical models used for design and
the actual system in practice. Typically a control engineer is required to design a
controller which will make the closed loop system stable and achieve certain performance
levels in the presence of disturbance signals, noise interference, unmodeled
plant dynamics and plant parameter variations. The purpose of this book is to help
post-graduate students and control engineers learn how to use well-developed, advanced
robust control system design methods and the state-of-the-art MATLAB®
tools in practical design cases.

- by Boubaker Krim
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- Matlab & Simulink programming

Global urbanization is causing serious issue concerning mainly to the quality of surface water coming from different sources, which is collected in large water bodies. Since the quality of surface water has a direct impact on fauna, flora and for the more human being health, environmental awareness is increased. So in these circumstances need for treatment of wasted water is increased as well. Except the treatment of waste water as an entire process, the most important thing is optimization of processes and sub-processes occurred into the treatment plant. Dynamic modelling of activated sludge process (ASP) is the main issue discussed in this paper. Modelling is conducted by using Simulink tools while two different case are considered, respectively: aerator and settler tank case. For each case modelling is performed by considering two different regimes, respectively: dry weather and rain regime. Simulation is performed separately and coupled as well. Results obtained in both cases for each respective regime reveals significant evaluation of the organic matter and biomass. Finally is noticed that the maximal flow rate calculated with Mc Carthy approach, has overpassed the capacity of the plant compare with maximal flow rate calculated with dynamical modelling.

- by Alban Kuriqi and +2
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- Water and wastewater treatment, Municipal Solid Waste Management, Wastewater Treatment, Biological Treatment Of Sewage Water

Pada makalah ini akan dibahas simulasi system antrian single channel single phase (SCSP) dan multi channel single phase (MCSP), Simulasi menggunakan Simulink yang dikembangkan Matlab yang merupakan salah satu perangkat lunakyang dapat... more

- by Andy S Warseno
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- Physics, Matlab, Matlab & Simulink programming, Pemodelan Dan Simulasi

SIMULINK® platform was used to predict the steady-state off-design
performance of a separate flow double-Spool turbofan engines. At the
design point of GE-CF6-50 engine , the performance characteristics were
obtained. Numerical, but not realistic, engine components maps were
presented to fulfill the matching balance between engine components,
thus, scaling these maps to the design point data were carried out. Block modules for the program were built in SIMULINK® using readymade program library or built with the aid of user-defined functions. Initial guessing of seven dependant parameters were chosen. The program balanced these parameters due to solver iteration until balance was achieved. Other independent parameters (Mach number and altitude) and one base-line parameter were chosen separately. With balancing achieved, all performance characteristics were ready and corrected to the inlet conditions. Results were obtained under several conditions (cruise, take off and SLS static ground run up). Each case was studied in multiple high-pressure compressor corrected speeds.
Further study for the transient behavior of the turbofan engine in case
of open loop scheme was carried out as a proof of model integrity and
model verification. The main benefit of this study is to explore how the
SIMULINK® is an easy tool in turbofan modeling performance prediction
and analysis.

- by Ahmed Farouk AbdelGawad
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- Matlab & Simulink programming

Laboratorio de sistemas de control sobre matlab y simulink

- by Lourdes Sotelo
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- Matlab, Control Systems, Simulation, Matlab & Simulink programming

El siguiente trabajo muestra el proceso de obtención del modelo matemático o la función de transferencia de la planta de temperatura, se usa un programa de identificación de planta hecho en LabView y con la tarjeta de adquisición de datos DAQ NI PCI-6221 se registran los datos. Finalmente se valida el modelo comparándola con la real mediante una simulación en simulink de MATLAB.

- by Ruben Escandon Guzman and +1
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- Control Systems Engineering, Automatic Control, LabVIEW, Control Systems

This paper describes the MATLAB/SIMULINK realization of the PUMA 560 robot manipulator
position control methodology. This paper focuses on design, analyzed and implements nonlinear
computed torque control (CTC) methods. These simulation models are developed as a part of a
software laboratory to support and enhance graduate/undergraduate robotics courses, nonlinear
control courses and MATLAB/SIMULINK courses at research and development company (SSP
Co.) research center, Shiraz, Iran.

- by FARZIN PILTAN and +1
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- Engineering, Electrical Engineering, Electronic Engineering, Robotics

El siguiente trabajo muestra el proceso de obtención del modelo matemático o la función de transferencia de velocidad del motor Quanser, se usa un programa de identificación de planta hecho en LabView y con la tarjeta de adquisición de datos DAQ NI PCI-6221 se registran los datos. Finalmente se valida el modelo comparándola con la real mediante una simulación en simulink de MATLAB.

- by Ruben Escandon Guzman and +1
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- Control Systems Engineering, Matlab, Control Systems, Matlab Programming

Réalisation d'un système de commande MLI sinusoïdale/triangle d’un onduleur triphasé sur Simulink

- by Tahar EL BAHRI (Project Engineer)
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- Matlab, Digital Modulation, Simulink, Matlab/Simulink

This paper presents an efficient architecture for various image filtering algorithms and tumor characterization using Xilinx System Generator (XSG). This architecture offers an alternative through a graphical user interface that combines MATLAB, Simulink and XSG and explores important aspects concerned to hardware implementation. Performance of this architecture implemented in SPARTAN-3E Starter kit (XC3S500E-FG320) exceeds those of similar or greater resources architectures. The proposed architecture reduces the resources available on target device by 50%.