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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...
Because hydroelectric generating unit system is a non-linear, varying with time and high steps system, conventional PID controller cannot get better controlling performance in the control of hydroelectric generating unit system. In order to overcome the shortcoming of conventional controller, neural network is used to optimize PID control parameters and identify the character of hydroelectric generating...
It is difficult to gain better control performance using general control strategy to control hydraulic turbine generating units system because it is a complicated non-linear MIMO system. In this 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...
A neuron model-free control method with immune scheme tuning gain for hydroelectric generating units is presented in this paper. Under the operating conditions of various guide vane opening, the characteristics of a hydroelectric generating unit show much difference in parameters. The influences of the time-varying parameters and the disturbances on the control system can be reduced by using the neuron...
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