Dynamic analysis & artificial intelligent control of induction motor drives

Abstract

Induction motors have many applications in the industries, because of the low maintenance and robustness. The speed control of induction motor is very important to achieve maximum torque and efficiency. In the same period, there were also advances in control methods and Artificial Intelligent (AI) techniques, including expert system, fuzzy logic, neural networks and genetic algorithm. Researchers soon realized that the performance of induction motor drives can be enhanced by adopting artificial-intelligent based methods. This paper presents an integrated environment for speed control of Induction Motor (IM) using artificial intelligent controller. The integrated environment allows users to compare simulation results between classical and artificial intelligent controllers. The fuzzy logic controller and artificial neural network controllers are also introduced to the system for keeping the motor speed to be constant when the load varies. The performance of fuzzy logic and artificial neural network based controllers' is compared with that of the conventional proportional integral controller. The performance of the Induction motor drive has been analyzed for constant and variable loads.