The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Conventional PID or fuzzy controller cannot get good controlling performance in the control of hydroelectric generating unit system, which is non-linear, varying with time, high steps system. In order to overcome the shortcoming of conventional fuzzy or PID controller, the fuzzy-PID composite control method is used to control it. The combining modes between fuzzy and PID were introduced in detail...
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...
Often it is difficult to acquire the requisite knowledge in the design of rule-based control systems. In the study, an advanced knowledge acquisition technique is presented and used in the fuzzy control of hydroelectric generating unit system of hydropower plant. Genetic algorithm is employed to optimize the parameters and rules of fuzzy controller in design controller and real-time control process...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.