PSO-Based PI Controller for Speed Sensorless Control of PMSM

• Main Authors: Nazelan, A.M (Author), Osman, M.K (Author), Salim, N.A (Author), Samat, A.A.A (Author)
• Format: Article
• Language: English
• Published: Institute of Physics Publishing 2018
• Subjects: AC motors; Artificial Neural Network; Controllers; Conventional controllers; Green computing; Heuristic methods; MATLAB; Mean square error; Model reference adaptive control; Model Reference Adaptive Control; Neural networks; Optimization techniques; Particle Swarm Optimization; Particle swarm optimization (PSO); Particle swarm optimization method (PSO); Permanent Magnet Synchronous Motor; Permanent magnets; PI controller; PI Controller; Proportional and integral controllers; Proportional control systems; Root mean square errors; Sensorless control; Speed sensorless control; Synchronous motors
• Online Access: View Fulltext in Publisher; View in Scopus

 In the controlling three phase AC motor especially permanent magnet synchronous motor (PMSM), good controller is required to achieved the desired target of speed. This paper presents a comparison among different technique of speed and position estimation by using Proportional and Integral controller (PI) tune by using Heuristic, MATLAB PID auto tuner and Particle Swarm Optimization (PSO) method of sensorless control for PMSM. The reason of this study is to identify which method can produce better result. Simulation that have been conducted by using PSO optimization technique h produced better result than the conventional controller in terms of system parameter such as rise time (Tr), settling time (Ts), percent overshoot (%Os), percent undershoot (%Us) and root mean square error (RMSE) of PMSM. © Published under licence by IOP Publishing Ltd.