Neural assisted PI/PID controller design for a motor control system

Soft computing [1,2] is vastly discussed and used in academic as well as in industry these days. Neural networks (NN) can be used as controllers which required detail and careful design for most plants [3]. There exists no general rule for designing NN as a controller yet, because a fine tune is always necessary to a specified plant [4]. In this paper, genetic algorithms (GA) [5, 6, 7, 8] approach is used for finding such a NN. From the simulation and experimental results, better transient response can be seen if an assisted neural controller (NC) is selected.