An intelligent controller for optimal vector control of induction motor

To increase the compactness of the embarked actuators, asynchronous machines are usually preferred. Adjusting of PI controller coefficients is one of the most important parts in vector control of asynchronous machines. Experimental method is more popular to calculate this parameters, but it is difficult and don't give us the optimum point. In this paper we introduce an intelligent PI controller to adjust motor's speed at its desired reference point using vector control laws. Particles Swarm Optimization (PSO) algorithm is a simple and powerful method to adjusting this parameters. Simulation results indicate that the selected method is good with high accuracy.