Networked control systems based on human-simulated intelligent and fuzzy control

In order to improve the performance of the control algorithm, this paper uses the good anti-interference ability of fuzzy control, combining with the human-simulated intelligent control; design a human-simulated intelligent fuzzy control algorithm. The algorithm both have the anti-interference ability of fuzzy control, and can take consideration to the stability, the speed and the accuracy together of human-simulated intelligent control. In this paper, based on the fuzzy control PID, Using the human-simulated intelligent control adjusts the three parameters of PID respectively once again. Finally simulate in the networked control systems with truetime 1.5, and the results show that the human-simulated intelligent fuzzy controller is smaller overshoot, faster response, smaller steady error, and stronger anti-interference ability than single fuzzy controller.