Abstract: An adaptive control system using recurrent wavelet neural networks (RWNN) is presented, which is based on vector control for an induction servo drive motor characterized by non-linear, multivariable, strong coupling, slow time-varying properties, etc, and many uncertainties such as mechanical parametric variation and external disturbance. The new method is to overcome the limitation of conventional position and velocity PID that depends on the accurate model and cannot guarantee satisfactory control performance and better dynamic characteristics. A back propagation algorithm based on grads descent is developed to train the RWNN on line using delta adaptation law. Simulation results demonstrate the effectiveness of the proposed method.

Key words: Adaptive control, Recurrent wavelet neural networks, Robust control, Servo induction motor