Field-oriented Control of Permanent Magnet Synchronous Motor with Optimum Proportional-integrator-derivative Controller Using Dynamic Particle Swarm Optimization Algorithm

1. Department of Electrical Engineering, AliAbad Katoul Branch, Islamic Azad University, AliAbad Katoul, Iran. 2. Young Researchers and Elite Club, AliAbad Katoul Branch, Islamic Azad University, AliAbad Katoul, Iran. 3. Department of Electrical Engineering, Amirkabir University of Technology, P.O. Box: 15875-4413, Tehran, Iran. Corresponding author: Mahmood Ghanbari, Email: [email protected], Fax: +98 1732158891 Abstract: In this paper, optimum design of PID controller for speed control of permanent magnet synchronous motor is presented using dynamic particle swarm optimization algorithm. Controller design is achieved through a model of motor with the aid of field-oriented control with linear system. Dynamic particle swarm optimization algorithm can optimally tune the PID factors and provide an optimum controller. As a result, performance characteristics of system step response such as overshoot, rise time and settling time will reduce in PMSM and this performance improvement is investigated in MATLAB. The obtained results show optimum behavior of the proposed method comparing with Genetic Algorithm optimization of PID factors tuning for field-oriented control of PMSM.