Proceedings Article10.1109/COMPE49325.2020.9200184
Comparative Analysis of Vector Controlled PMSM Drive with Particle Swarm Optimization and Ant Colony Optimization Technique
Raja Gandhi,Robin Wilson,Amit Kumar,Rakesh Roy +3 more
- 01 Jul 2020
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TL;DR: In this article, performance analysis of two optimization techniques to control speed of the Permanent Magnet Synchronous Motor (PMSM) is presented, where particle swarm optimization (PSO) and ant colony optimization (ACO) method are used to determine the integral gain and proportional gain of PI (proportional integral) controller.
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Abstract: This paper presents performance analysis of two optimization techniques to control speed of the Permanent Magnet Synchronous Motor (PMSM). Here, Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) method are used to determine the integral gain and proportional gain of PI (proportional integral) controller. For the analysis, simulation is carried out in MATLAB/SIMULINK for three different cases such as constant speed with no-load condition, variable speed at no-load condition and constant speed with loading condition. Different parameters such as torque ripple, peak time, settling time, rise time and maximum overshoot are analyzed in this paper for both the optimization technique. From the result it can be observed that ACO tuned PI controller in PMSM drive give better performance comparing to PSO tuned PI controller under different condition.
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Citations
Neural Network-Driven Sensorless Speed Control of EV Drive Using PMSM
Harshit Mohan,Gopal Agrawal,Vibhu Jately,Abhishek Sharma,Brian Azzopardi +4 more
TL;DR: Sensorless speed control of EV drive using PMSM with ANN-based controller shows significant improvement in performance compared to the current-based MRAS model.
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Analysis of Flux Density in PMSM with Constant Mutual Flux Linkage Control Strategy Using FEM Model
Raja Gandhi,E. Sankararao,Robin Wilson,Amit Kumar,Rakesh Roy +4 more
- 05 Mar 2021
TL;DR: Flux density analysis of the Permanent Magnet Synchronous Machine in a closed-loop system developed in co-simulation with Ansys software using the FEM model of the machine using the vector control technique with constant mutual flux linkage control strategy.
3
Speed Control of PMSM Using Modified Particle Swarm Optimization Technique Based on Inertia Weight Updating Mechanism
Raja Gandhi,Dibyadeep Bhattacharya,Ajay Anand,Sadhan Gope,Arpita Banik,Rakesh Roy +5 more
TL;DR: From the results, it is proved that the modified PSO-PI controller gives better performance compared to the conventional PSo-PI speed controller.
1
Dynamic Analysis of Vector Controlled PMSM with Constant Torque Angle Control Strategy Using Artificial Neural Network
Ajay Anand,Raja Gandhi,Dibyadeep Bhattacharya,Rakesh Roy +3 more
- 15 Jun 2023
TL;DR: This paper proposes an ANN-based speed controller for PMSM drives, enhancing speed control under varying conditions and disturbances through adaptive learning, achieving improved accuracy, robustness, and disturbance rejection compared to conventional techniques.
1
Intelligent Operation Optimization of Permanent Magnet Synchronous Motor
TL;DR: The simulation results showed that both the Genetic Algorithm and Tree and Seed Algorithm optimization techniques were effective in tuning PI controller to follow desired speed, and that they also had satisfactory dynamic responses, confirm TSA is a promising method greatly beneficial when compared to other algorithms.
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