Closed Loop Control Research Papers (original) (raw)
- by Marko Munih and +1
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- Engineering, Modeling, Construction Industry, Automation
... System Using MATLAB/SIMULINK Dr. Jameel Ahmed*, Dr. Bilal A. Alvi**, Zeeshan Ali khan* *NFC Institute of Engineering and Technology, Multan, Pakistan **Sir Syed University of Engineering & Technology, Karachi Email:... more
... System Using MATLAB/SIMULINK Dr. Jameel Ahmed*, Dr. Bilal A. Alvi**, Zeeshan Ali khan* *NFC Institute of Engineering and Technology, Multan, Pakistan **Sir Syed University of Engineering & Technology, Karachi Email: Jameel@nfciet.edu.pk ...
- by Marko Munih and +1
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- Engineering, Modeling, Construction Industry, Automation
The dynamic voltage restorer (DVR) is one of the modern devices used in distribution systems to protect consumers against sudden changes in voltage amplitude. In this paper, emergency control in distribution systems is analyzed by using... more
The dynamic voltage restorer (DVR) is one of the modern devices used in distribution systems to protect consumers against sudden changes in voltage amplitude. In this paper, emergency control in distribution systems is analyzed by using the proposed multifunctional DVR control strategy. Also, the multiloop controller using the posicast and P+Resonant controllers is proposed in order to improve the transient response and eliminate the steady-state error in DVR response, respectively. The proposed algorithm is applied to some disturbances in load voltage caused by induction motors starting, and a three-phase short circuit fault. Also, the capability of the proposed DVR has been tested to limit the downstream fault current. The idea here is that the DVR acts as virtual impedance with the main aim of protecting the PCC voltage during downstream fault without any problem in real power injection into the DVR. Simulation results obtained using MATLAB software show the capability of the DVR to control the emergency conditions of the distribution systems. The simulation results coincide with the hardware results.
In its simplest form, the human postural control system can be described as a closed-loop control system consisting of a plant (body segments and musculotendon actuators) and feedback. Previous efforts to understand the contributions of... more
In its simplest form, the human postural control system can be described as a closed-loop control system consisting of a plant (body segments and musculotendon actuators) and feedback. Previous efforts to understand the contributions of plant and feedback employed techniques to "open the loop" which is problematic with the study of posture because the plant is unstable without feedback. In
- by Jordi Morales-Dalmau and +1
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- Water Purification, Risk, Activated Sludge, Multidisciplinary
(2008) Lakshmi, Kumar. 2008 International Conference on Computer and Communication Engineering. Read by researchers in: 50% Materials Science, 50% Engineering. Laser communication links in space are attractive alternatives to present-day... more
(2008) Lakshmi, Kumar. 2008 International Conference on Computer and Communication Engineering. Read by researchers in: 50% Materials Science, 50% Engineering. Laser communication links in space are attractive alternatives to present-day microwave links. This ...
The authors explain some basic concepts relating to neural networks and discuss how they can be used to model weld bead geometry in terms of the parameters of the equipment selected to produce the weld. Approaches to utilization of neural... more
The authors explain some basic concepts relating to neural networks and discuss how they can be used to model weld bead geometry in terms of the parameters of the equipment selected to produce the weld. Approaches to utilization of neural networks in process control are discussed as well. The need for modeling transient as well as static characteristics of physical systems for closed-loop control is pointed out, and an approach for achieving this is presented. The performance of neural networks for modeling is presented and evaluated using actual welding data. It is concluded that the accuracy of neural network modeling is fully comparable to the accuracy achieved by more traditional modeling schemes.>
- by Karl Stol and +2
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- Computer Vision, Machine Vision, Stability, Kalman Filter
The major consideration in dc-dc conversion is usually related to low cost, high efficiency, reduced stresses involving semiconductors, high efficiency, simplicity and robustness of the involved topologies. The boost converter is one of... more
The major consideration in dc-dc conversion is usually related to low cost, high efficiency, reduced stresses involving semiconductors, high efficiency, simplicity and robustness of the involved topologies. The boost converter is one of the basic power electronics circuits used to set up the DC voltage. A photo-voltaic micro grid is a standalone system wherein there is a need for efficient power conversion. The DC voltage obtained from the photovoltaic system is measured to be between 12.1V-18.9V DC for an irradiation variation 600-1500 W/m 2. The input voltage to the inverter must be maintained constant irrespective of load demand. The main objective of this paper is to simulate a closed-loop single switch quadratic boost converter to maintain a constant input voltage for the inverter and also to simulate the five-level cascaded H-bridge multi-level inverter for small scale photovoltaic grid system. The quadratic boost converter and multilevel inverter are simulated using MATLAB/SIMULINK software package.
... Energy Conversion System Connected to Utility Grid Mahmoud MN Amin, Student Member, IEEE, OA Mohammed, Fellow, IEEE Florida International University, ECE Dept. Energy Systems Research Laboratory Miami, FL 33174 USA R ...
The current assessment of behaviors in the inventories to diagnose autism spectrum disorders (ASD) focus on observation and discrete categorizations. Behaviors require movements, yet measurements of physical movements are seldom included.... more
The current assessment of behaviors in the inventories to diagnose autism spectrum disorders (ASD) focus on observation and discrete categorizations. Behaviors require movements, yet measurements of physical movements are seldom included. Their inclusion however, could provide an objective characterization of behavior to help unveil interactions between the peripheral and the central nervous systems. Such interactions are critical for the development and maintenance of spontaneous autonomy, self-regulation and voluntary control. At present, current approaches cannot deal with the heterogeneous, dynamic and stochastic nature of development. Accordingly, they leave no avenues for real-time or longitudinal assessments of change in a coping system continuously adapting and developing compensatory mechanisms. We offer a new unifying statistical framework to reveal re-afferent kinesthetic features of the individual with ASD. The new methodology is based on the non-stationary stochastic patterns of minute fluctuations (micro-movements) inherent to our natural actions. Such patterns of behavioral variability provide re-entrant sensory feedback contributing to the autonomous regulation and coordination of the motor output. From an early age, this feedback supports centrally driven volitional control and fluid, flexible transitions between intentional and spontaneous behaviors. We show that in ASD there is a disruption in the maturation of this form of proprioception. Despite this disturbance, each individual has unique adaptive compensatory capabilities that we can unveil and exploit to evoke faster and more accurate decisions. Measuring the kinesthetic re-afference in tandem with stimuli variations we can detect changes in their micro-movements indicative of a more predictive and reliable kinesthetic percept. Our methods address the heterogeneity of ASD with a personalized approach grounded in the inherent sensory-motor abilities that the individual has already developed.
- by Maria Brincker and +2
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- Neuroscience, Developmental Psychology, Psychiatry, Statistics
In this article we reconsider a version of quantum trajectory theory based on the stochastic Schr\"odinger equation with stochastic coefficients, which was mathematically introduced in the '90s, and we develop it in order to describe the... more
In this article we reconsider a version of quantum trajectory theory based on the stochastic Schr\"odinger equation with stochastic coefficients, which was mathematically introduced in the '90s, and we develop it in order to describe the non Markovian evolution of a quantum system continuously measured and controlled thanks to a measurement based feedback. Indeed, realistic descriptions of a feedback loop have to include delay and thus need a non Markovian theory. The theory allows to put together non Markovian evolutions and measurements in continuous time in agreement with the modern axiomatic formulation of quantum mechanics. To illustrate the possibilities of such a theory, we apply it to a two-level atom stimulated by a laser. We introduce closed loop control too, via the stimulating laser, with the aim to enhance the "squeezing" of the emitted light, or other typical quantum properties. Note that here we change the point of view with respect to the usual applications of control theory. In our model the "system" is the two-level atom, but we do not want to control its state, to bring the atom to a final target state. Our aim is to control the "Mandel QQQ-parameter" and the spectrum of the emitted light; in particular the spectrum is not a property at a single time, but involves a long interval of times (a Fourier transform of the autocorrelation function of the observed output is needed).