Induction Drive Speed Control Using a Neuro Fuzzy Controller

Abstract

Induction motors have been mostly used in all industrial applications over the last years. Since its design and construction is simple and due to its low cost. However control of induction motor is complex due to its nonlinear characteristics and its parameters always changes with its operating conditions. Speed control of induction motor drive with neuro fuzzy controller is presented in this paper. Speed control of induction motor with fuzzy controller uses asymmetric membership functions requires manual adjusting to get its optimized performance based on trial and error. Also this conventional fuzzy controller requires large number of membership functions, weights and rules particularly on self tuning. This leads to increase the computational burden to avoid the drawback in fuzzy controller; the proposed NFC uses unsupervised self tuning method to adjust membership functions and weights. The proposed NFC uses only speed error as its input to reduce the computational burden so that performance of drive is similar to the conventional fuzzy controllers the performance of induction motor drive with NFC is in simulation conditions.