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It is difficult to gain better control performance using general control strategy to control complicated non-linear hydraulic turbine generating units system. In the study, a new control technique, which efficiently get optimal control parameters for fuzzy neural network controller through the training of neural network and genetic algorithms, was proposed and then applied to control turbine generating...
It is difficult using conventional PID or fuzzy control way to control air-condition to get good control performance, because the environment of room temperature is complicated and it is difficult to get precise mathematics model for the control of air-condition with frequency change. An improved intelligent controller is designed to control air-condition based on fuzzy neural network in this paper...
Water turbine generating units system is a complicated system and it is difficult for PID controller or fuzzy controller to meet the control demand. In order to overcome the shortcoming of the conventional hydraulic turbine PID governor, a new self-tuning fuzzy PID control method based on improved Genetic algorithms is proposed. The output of fuzzy reasoning can adjust PID parameter in the process...
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