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Under the control object and the structure of control system built, we set the range of parameters and the objective function and get the best parameters of PID control of the system by genetic algorithm, making use of MATLAB we can do the modeling and simulation of the PID control and fuzzy control. The results of simulation show that the dynamic response of fuzzy control is faster than PID control...
In this paper, the author establish a model of water-jet propulsion system for self-service gliding-hydrofoil craft. A fuzzy logic controller is designed based on MATLAB and SIMULINK. And simulation experiment is performed. Experiment results show that the fuzzy logic controller is useful and is affected by interference. And the less the interference, the more balanced the effect is.
Addressing to the difficulties in PID parameter tuning, low accuracy in temperature controlling and the dissatisfaction in high exactitude extrusion processing of the present PID controllers, a new kind of PID controller based on RBF neural network is proposed. It can not only obtain a higher accuracy in temperature controlling, but also infinitely approach the nonlinear system with quicker and more...
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