Design of neuro-fuzzy controller on DSP for real-time control of induction motors

Abstract

This paper deals with the DSP implementation of the high performance induction motor drive that presented on the viewpoint of the design and experiment. The speed control system for the induction motor drive is based on the ANFIS (adaptive network-based fuzzy inference system) controller, that is, a sophisticated neuro-fuzzy controller. This ANFIS controller acts as a feed forward controller that provides the plant with the proper control input and accomplish error backpropagation algorithm through the network. In this paper, the DSP (TMS320F240) has been used to perform the high-speed calculation of the space vector PWM and to build the ANFIS control algorithm. It is confirmed that proposed algorithm provides the more improved control performance for the conventional V/F controller and vector controller. The proposed ANFIS algorithm and DSP technique can be applied to the precise speed control of the induction motor drive system or the field of power electronics.