BLDC Control Method Optimized by PSO Algorithm

In automotive application, electric vehicles and electrical busses are based essentially on electrical machine. Controlling the motor electric current is the only possible solution for varying it speed. This kind of application needs a high torque/speed relation factor for moving this transportation system (load). Brushless direct current (BLDC) machine is one of the most motors who can be used for this system, however the BLDC motors performances are highly affected by the disturbance of the load. Controlling its speed needs generally a high precision control method and needs knowing the motor parameters for finding the optimal regulator parameters. Basing on various solutions, it is possible to calculate these parameters without necessity finding the motor parameters. Particle swarm optimization (PSO) method is one of the optimization solutions who can resolve this problem. Therefore, this paper deals with the implantation of this optimization tool for help finding the optimal proportional-integral (PI) parameters for controlling the BLDC speed.