Research of a new type intelligent controller and its application

According to error and error rate, the phase plane divisional control (PPDC) applies different actions in the phase plane to make the control system up to the requirement. This controlling structure makes the system possess the features of closed-open loop. Furthermore, just as the PID control, itpsilas unnecessary to build up a mathematical model for the controlled object. This paper combines neural network (NN) inverse model with PPDC to generate a new kind of intelligent controller - NN-PPDC. This controller gives real time relationship between the basic performance of the system response and the action logical divisional in the phase plane. Thus the control parameters in each divisional can make automatic on-line regulation in accordance with changing in the controlling process, possessing adaptive ability. The simulation and its application in the feed-supporting system for the square kilometer array (SKA) show that this controller has better synthesized performance and robustness.