SIMULATION OF A NEURAL-NET CONTROLLER FOR MOTOR-DRIVES

This paper describes the use of neural networks in a speed control loo p applied to a DC motor. The proposed technique makes use of the learn ing capability of neural networks to implement an auto-adaptive contro l structure. Such capability allows the network to learn the dynamic b ehavior of the SCR-driven DC motor. This identification network is the n used to train another network as the process controller, so that the process output follows the reference signal. An adaptation scheme for working conditions is also presented. Its performance is verified thr ough testing of physical parameter variations and noise presence, show ing the applicability of the system.