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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Deepti Yadav
Institute of Engineering & Technology Lucknow
Control & Systems Engineering Electrical & Electronics Engineering

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Comperative Performance Analysis of PMSM Drive Using MPSO and ACO Techniques Deepti Yadav; Arunima Verma
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.706 KB) | DOI: 10.11591/ijpeds.v9.i4.pp1510-1522

Abstract

This work proposes an optimization algorithm to control speed of a permanent magnet synchronous motor (PMSM) during starting and speed reversal of motor, as well as during load disturbance conditions. The objective is to minimize the integral absolute control error of the PMSM shaft speed to achieve fast and accurate speed response under load disturbance and speed reversal conditions. The maximum overshoot, peak time, settling time and rise time of the motor is also minimized to obtain efficient transient speed response. Optimum speed control of PMSM is obtained with the aid of a PID speed controller. Modified Particle Swarm Optimization (MPSO) and Ant Colony Optimization (ACO) techniques has been employed for tuning of the PID speed controller, to determine its gain coefficients (proportional, integral and derivative). Simulation results demonstrate that with use of MPSO and ACO techniques improved control performance of PMSM can be achieved in comparison to the classical Ziegler-Nichols (Z-N) method of PID tuning.
Co-Authors Arunima Verma