Design and Simulation of Proportional-Derivative Controller of A Servo Systems Based on Fuzzy Logic and Hybrid Fuzzy Neural
Laith Ali Abdul-Rahaim · Journal of University of Babylon for Pure and Applied Sciences · 2012
In the past few years, fuzzy-rule-based modeling has become an active research field because of its good merits in solving complex nonlinear system identification and control problems. A servo system (SS) is a class of a nonlinear position system that needs to be positioned accurately and fastly on a commanded position. The strategy followed in this paper in designing digital controller for such system; first building a neuro-model that represents the open loop servo system. This is accomplished by sufficiently collecting input-output data and used it off-line to build the neural network that will represent the plant for the second design stage. Second design fuzzy controller through NN simulation to reach the required closed -loop behavior. The design technique is based on the adjustment of the scale factors, rule base and membership functions of the controller; it and was accomplished by fine tuning and heuristic corrections linked to the knowledge of the process to be controlled. For the specified plant, there are certain parameters, which produce a well-controlled response.