Hrishikesh Mehta - Academia.edu (original) (raw)

Papers by Hrishikesh Mehta

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)

Distribution STATic COMpensator (DSTATCOM) is used to mitigate many current quality problems like... more Distribution STATic COMpensator (DSTATCOM) is used to mitigate many current quality problems like harmonics elimination, power factor correction, load balancing, noise cancellation and voltage quality problems like sag, swells, impulses, voltage unbalances, fluctuations. Many research papers have been critically studied and applications of DSTATCOM are classified into suitable categories. Typical applications in these categories are presented in this paper.

2021 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), 2021

Power electronics is playing an important role in controlling and conversion of electric power in... more Power electronics is playing an important role in controlling and conversion of electric power in which power inverters are at forefront. Multilevel inverter technology has become an area which is continuously being explored to improve the power conversion efficiency and power quality of the overall system with increased reliability and reduced cost. Moreover, several control methods have been developed for its easy and efficient control. Advanced micro-controller based embedded systems platforms are required to accommodate complex control actions for increased number of switches as compared to a conventional inverter. However, none of the micro-controller platforms that exist today is dedicated to be used with multilevel inverters. Hence, it becomes difficult to choose a right platform for given application. This paper summarizes popular choices of micro-controller platforms along with their features and power devices which are used to control different topologies of multilevel inverter.

International Journal of Engineering Research and, 2020

2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)

In the proposed paper a state feedback controller is designed using Jacobian linearization of PMS... more In the proposed paper a state feedback controller is designed using Jacobian linearization of PMSM around an operating point which is adaptively refreshed using Non Linear Disturbance Observer (NLDO). This observer estimates load torque (which is considered as disturbance) using knowledge of speed and stator currents. The speed is normally measured using speed sensors like optical encoder. In this work, speed and rotor position are estimated using sliding mode observer (SMO). This estimated speed is given as an input to NLDO. Thus these two observers are cascaded in this scheme for sensorless vector control. Advantage of proposed cascaded scheme is that it replaces three PI controllers by state feedback controller. State feedback control gain can be mathematically determined using pole placement, thus avoiding complex procedure of tuning three PI controllers.

2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)

2021 7th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)

An acoustic vector sensor (AVS) is an underwater sound sensing device that converts acoustic ener... more An acoustic vector sensor (AVS) is an underwater sound sensing device that converts acoustic energy into electrical energy. It can measure both the pressure and motion of a sound wave. However, for the determination of the direction of its source, an array of AVS devices is required which increases its size and cost. Miniaturization of such AVS devices for various practical and commercial applications is a newly developed research area due to advancements in Micro-Electro-Mechanical Systems (MEMS) technology. This paper presents a summary of recent progress in the development of MEMS-based AVS for sensing underwater sound. The fundamentals of AVS are briefly discussed. The design and fabrication of MEMS AVS is examined and various materials and types of structures used for its development are discussed. Various algorithms used for its operation are studied. MEMS AVS exhibit exceptional versatility and adaptability as miniaturized sensors for underwater operation and have advantages like low power consumption and excellent efficiency. The presented summary may be useful for many military and commercial applications.

2021 International Conference on Computational Performance Evaluation (ComPE)

In many applications, brushless direct current (BLDC) motor drives use fuzzy logic controllers fo... more In many applications, brushless direct current (BLDC) motor drives use fuzzy logic controllers for speed control owing to their advantages like auto-tuning of parameters, wide operational range, low computational requirements and low cost. However, the effect of different rulesets on the transient and steady-state speed Behaviour of BLDC motors has not been widely covered in the literature. The contribution of this paper includes speed characteristics of the triangular membership function (trimf) based fuzzy proportional-integral (FPI) controller is evaluated. Rulesets of 3 × 3, 5 × 5 and 7 × 7 formed using 3, 5 and 7 trimfs are compared for their Behaviour and time required for performing computations for speed benchmark of the BLDC motor used in comprehensive electric vehicle (EV) applications. The fuzzy logic control algorithm is implemented by means of Mathworks’ Fuzzy Logic Tool-set. The results are substantiated using MATLAB/Simulink. It is thereby concluded that increasing the number of membership functions improves the dynamic and steady-state behaviour of the BLDC motor.

2020 IEEE Electric Power and Energy Conference (EPEC), 2020

Electric vehicle (EV) charging loads expected to be geographically-clustered in residential areas... more Electric vehicle (EV) charging loads expected to be geographically-clustered in residential areas than in in industrial or commercial space. This can drive the distribution system to be overloaded, even if the overall supply system may have surplus power and can fulfill the EV charging requirements. The EV charging has negative influence on the grid as it can affect secondary distribution transformer (DT) to be overloaded, especially during EV peak charging periods. In this paper, a model is developed to study the effect of EV on transformers’ life considering real-life data of DTs from Modi Ganpati area, Pune. Energy required to charge is calculated considering random state-of-charge (SOC) of battery and charging time instants. Different EV penetration scenarios are considered to study the effect of EV on loss-of-life (LOL) of DT.

2017 7th International Conference on Power Systems (ICPS), 2017

Vector control (field oriented control) is a widely used method to control PMSM as it improves th... more Vector control (field oriented control) is a widely used method to control PMSM as it improves the response of the drive by decoupling torque and flux. However, it is difficult to directly implement the closed-loop algorithm on any hardware platform due to its complexity. This paper proposes an approach to implement the vector control scheme by using the incremental build levels specially designed for TI's Launchpad F28069. In this paper, the closed-loop Field-Oriented Control (FOC) algorithm is implemented to control a three-phase 60W Permanent Magnet Synchronous Motor (PMSM) using TI's Launchpad F28069 and MATLAB Embedded Coder. Effectiveness of the scheme is evaluated using simulation and experimental results. Major advantage of this approach is that performance of the drive can be validated at each build level.

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED), 2021

Emergence of Internet of Things (IoT) has enabled convergence in various research areas like wear... more Emergence of Internet of Things (IoT) has enabled convergence in various research areas like wearable electronics, wireless networks, sensors, control systems and embedded systems. Important application areas of healthcare and agriculture are largely benefited with IoT. Remote monitoring of water quality parameters is one such area where IoT can be largely deployed. A Long-range communication (LoRa) is a recent addition to IoT which covers large areas under its wireless network and has ultra-low power consumption. In this paper, a LoRa based monitoring system for measuring water quality parameters of a water reservoir in Symbiosis University’s Lavale Campus is implemented. A wireless floating LoRa transmitter is placed in the reservoir to hourly measure water quality parameters like water temperature, turbidity and pH. A study on effect of various configuration parameters of a LoRa device on time on air (ToA) and battery life is also presented.

2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2019

Super-capacitors are now widely accepted as efficient and high power energy storage devices and a... more Super-capacitors are now widely accepted as efficient and high power energy storage devices and are being used in variety of applications. They have very high power density as compared to conventional batteries and can be charged and discharged very quickly. However, fast charging techniques specially designed for charging super-capacitors have not yet fully evolved and they rely on conventional charging techniques for this purpose. This paper proposes a novel alternative approach to charge super-capacitors using a high frequency matrix converter. The 6 bi-directional switch matrix converter either be connected to single phase or three phase power frequency AC input source and can convert it to high frequency AC output which is then rectified to DC for charging the super-capacitor bank. This technique tends to produce less voltage and current ripples and thus eliminates the need for additional filters for smoothening the output voltage. The pulse width of the gate pulses is controlled using PID controller with strict saturation limits to prevent over-voltage from being applied to the supercapacitors. The meaningful simulation results shown in this paper verify the overall effectiveness and functionality of the proposed architecture.

Journal of Physics: Conference Series, 2021

The emerging field of the internet of things (IoT) requires a low-power-low-range solution in rem... more The emerging field of the internet of things (IoT) requires a low-power-low-range solution in remote and inaccessible places where connectivity in any form is not possible. There are many IoT devices like Zigbee, LoRa WAN, Sigfox, which operate within 5m to 5kms, with a change in bandwidth and power consumption. The difficulties in installing these types of IoT devices are critical because of connectivity issues and external hindrances like a non-clear line of sight (NC-LOS), frequency, bandwidth, time on Air (ToA), and power availability. The long-range (LoRa) is a portable, low-power wireless communication device that works on the principle of chirp spread spectrum (CSS) modulation. Its performance concerning frequency, power consumption, ToA, clear line of sight (CLOS), and NC-LOS depends on the type of antenna used for unknown distances. Therefore, in this paper, the 868MHz frequency is used to communicate between LoRa - end-transmitter node to LoRa-end receiver node with a fixe...

2021 7th International Conference on Electrical, Electronics and Information Engineering (ICEEIE), 2021

Road conditions unknowingly have a significant role in our life. Improper road conditions may dam... more Road conditions unknowingly have a significant role in our life. Improper road conditions may damage vehicle parts and cause road accidents if not addressed timely. Internet of Things (IoT) connects sensors and devices to the internet. The driver can be alerted of any unknown speed breakers, humps and potholes using IoT. Integration of road abnormalities with google maps can help prevent many casualties. This paper presents an overview of recent techniques used to sense road conditions and provide a sustainable ecosystem to detect and notify any road anomaly on time. The machine learning algorithms used to identify the road conditions are classified based on their applicability. These techniques build a real-time road condition monitoring system for both road maintenance authorities and regular drivers.

2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 2020

BLDC motors are dominating modern trend in industry to shift to use of highly efficient and compa... more BLDC motors are dominating modern trend in industry to shift to use of highly efficient and compact permanent magnet motors for various applications. Moreover, electric vehicle industry has seen BLDC motors as most reliable and versatile motors for constantly changing industrial needs. However, dynamics of a BLDC motor are largely governed by its drive performance. Conventionally, PI and PID controllers have been used for decades for speed control of a BLDC motor which have a disadvantage that they need to be tuned or retuned for any change in operating point to derive optimal performance. Recent developments in control systems have made it possible to auto-tune PID controller to get optimal performance for various operating speeds. This paper proposes a self-tuning PID controller for control of BLDC motor for wide speed range. The speed performance of the drive is compared with traditional PID controller to prove its effectiveness using MATLAB based simulation study.

IEEE Transactions on Power Electronics, 2019

The objective of this paper is to design robust speed control of Permanent Magnet Synchronous Mot... more The objective of this paper is to design robust speed control of Permanent Magnet Synchronous Motor (PMSM). The mathematical model of PMSM is highly non-linear with uncertainties and disturbances. The most obvious method is to estimate these disturbances and design robust controller to attenuate the effect of disturbances from output. In this paper, the load torque which typically occurs as disturbance in servo system, is estimated using Disturbance Observer (DO). Non-linear model of PMSM is linearized using Jacobean linearization around an operating point and state feedback controller with integral term is designed at this operating point. Novelty of the proposed method lies in the way DO is used to update this operating point, which is similar to gain scheduling approach. To extend this method for sensorless operation, sliding mode observer (SMO) is used with DO in cascade. The proposed scheme is validated using simulations on MATLAB/SIMULINK and experimental setup using TMS320F28027. The results show improved performance as compared to traditional methods over a wide range of speed.

2016 IEEE Symposium on Sensorless Control for Electrical Drives (SLED), 2016

The sliding mode observer is a very promising approach for position sensorless control of Permane... more The sliding mode observer is a very promising approach for position sensorless control of Permanent Magnet Synchronous Motors due to its robustness and parameter insensitivity. However it was observed that estimation of rotor flux position was affected due to measurement noise and phase shift introduced due to low pass filtering. In this paper, the authors discuss key issues related to implementation of sliding mode observer based sensorless field oriented control of Permanent Magnet Synchronous Motor and propose different approaches to improve rotor flux estimation. An experimental lab setup is designed and implemented on a 400W PMSM motor. Texas Instrument's TMS320F2812 DSP is used in the drive as the central controller to fulfill the demands of exhaustive real time computations by vector control and sliding mode observer.

2015 IEEE 11th International Conference on Power Electronics and Drive Systems, 2015

In this paper, speed control of Permanent Magnet Synchronous Motor (PMSM), also known as sinusoid... more In this paper, speed control of Permanent Magnet Synchronous Motor (PMSM), also known as sinusoidal BLDC motor, using Hall effect sensors is described. Normally, sensors like optical encoders or resolvers are necessary for applying sinusoidal commutation to such type of motor as they have more resolution. However, these sensors are costly and cannot be employed for low cost operations. The proposed approach for sinusoidal commutation uses rotor position information available from Hall sensors to apply sine PWM pulses for the inverter switching. The modulation index in this method is changed using PI controller for speed control of PMSM. The method has been tested successfully on a setup of 400W PMSM motor using Texas Instrument (TI) DSP controller TMS320F2812. Experimental results indicate that the motor drive developed in this paper exhibits satisfactory performance.