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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...
Hydroelectric generating unit system of water plant is a non-linear and complicated system. Conventional controller cannot get good controlling performance in control. In this study, an advanced soft computing technique based on fuzzy, neural network and genetic algorithm is used in the control of hydroelectric generating unit system of hydropower plant. Fuzzy reasoning system is used as controller...
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...
At present, the wavelet transformation, combining with Kalman filter, is the most used algorithm in multi-sensor data fusion technology. However, wavelet transformation with Kalman filter has two aspect problems in algorithm. One aspect of the problem consists in the multi-resolution analysis (MRA) method of wavelet transformation. It only subdivides the approximate signal of low frequency band step...
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 was used to optimize fuzzy controller in the control of hydroelectric generating unit system of hydropower plant. The designed control system may select optimal scale factors, membership functions and control rules efficiently by using neural...
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