Speed control of a DC motor using BP neural networks
Zilong Liu, Xianyi Zhuang, Shuyi Wang · 2004
In tackling the problem of the speed control of a DC motor, the conventional constant gain feedback controller fails to maintain the performance of the system at acceptable levels under unknown in dynamics load torque. Meanwhile, artificial neural networks, so far acting as the effective tools to implement the model and adaptive control in a complicated nonlinear system, have got extensive applications. Thus in order to shun the drawbacks of the conventional constant gain feedback controller, this paper makes use of the power of feedforward artificial neural networks to identify and control online, and therefore modulate a rational control rate. Finally, this method is proven to be feasible by virtue of the simulation results.