DC servo motor controllers based on a neural network
C.K. Lee, T.H.M. Chow, D.K.W. Cheng · 1992
The paper presents a methodology of developing a neural network based discrete time position servo motor controller. The motor driving circuit is nonlinear in nature and it is characterised by dead-zone and saturation features. Firstly, the authors analyse how motor operations are affected when the system is operated in closed-loop with that kind of undesirable phenomena. Secondly, they illustrate this system being controlled by a neural network based servo motor controller. Simulation results show that the steady-state error of the closed-loop system is related to the dead zone of the motor driving circuit where as in the neural controller system, it is not. >