PSO-Based PI Controller for Speed Sensorless Control of PMSM

• Main Authors: IOP, Nazelan, AM (Author), Osman, MK (Author), Salim, NA (Author), Samat, AAA (Author)
• Format: Article
• Language: English
• Published: 2018
• Subjects: Artificial Neural Network; Model Reference Adaptive Control; Particle Swarm Optimization; Permanent Magnet Synchronous Motor; PI controller; SLIDING-MODE OBSERVER
• Online Access: View Fulltext in Publisher

 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.