Speed Control of PMSM Based on PSO For Tuning PI Parameters
PMSM normally used when there is high demand for its characteristic of speed stability and synchronous operation. Nowadays, due to advanced system, PMSM receives an attention and widely use due to its advantageous features such as high efficiency, low noise as well as high power density. This thesis proposes the optimization of the PI gain used in the speed control of permanent magnet synchronous motor (PMSM). The optimization technique used in this project is Particle Swarm Optimization. PMSM can be built in different structures which may have been constructed from two to fifty or more magnet poles. In this project, field-oriented control is used to control the speed of the PMSM.
The PSO is used to find the finest gain of the speed- PI so that the speed error will be minimized and it is designed to achieve the specific objective function. In this paper, the objective is to reduce the steady state error of the system drive. By randomly initialize, these particles fly through the search space dimension to evaluate and updating their positions and velocity. As updating the position and velocity, the personal and global best value also keeps updating until it finds better fitness and achieve the optimal value. The simulation results proved that the proposed technique can reduce the speed error close to zero and get the better result compared to the heuristic method. This research work presents a novel design of speed control for a permanent magnet synchronous motor using evolutionary techniques called Particle swarm optimization method.
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