Title :
Neuron model-free control with fuzzy tuning parameters for hydraulic turbine generators
Author :
Du, Yaping ; Wang, Ning
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
Under the operating conditions of various guide vane opening, the characteristics of a hydraulic turbine generator unit show much difference in parameters. In order to control hydraulic turbine generators efficiently, the neuron model-free control method with fuzzy tuning parameters is proposed in this paper. In this control system, the neuron is designed to produce the control signal in model-free way, and the neuron controller parameters are tuned by using the fuzzy algorithm. With an example, the experiments are made. The simulation results show that the proposed neuron model-free controller has good performance, fast transient response and strong robustness.
Keywords :
blades; fuzzy control; fuzzy neural nets; hydroelectric generators; machine control; neurocontrollers; robust control; transient response; tuning; fuzzy algorithm; fuzzy tuning parameter; guide vane opening; hydraulic turbine generator control; neuron controller; neuron model-free control; robustness; transient response; Algorithm design and analysis; Blades; Character generation; Control system synthesis; Fuzzy control; Fuzzy systems; Hydraulic turbines; Neurons; Signal design; Transient response;
Conference_Titel :
Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE
Print_ISBN :
0-7803-9252-3
DOI :
10.1109/IECON.2005.1568920