Title :
Research on the Control Strategy of Hydraulic Turbine Generating Units Based on Improved FNNC
Author :
Wang, Shuqing ; Liu, Suyi ; Zhang, Zipeng
Author_Institution :
Hubei Univ. of Technol., Wuhan
Abstract :
Because hydraulic turbine generating units system is a complicated non-linear MIMO system, it is difficult to gain better control performance using tradition control strategy to control it. The improved fuzzy neural network controller is presented to control hydraulic turbine generating units. The learning method of network is improved according to the existent problem of fuzzy neural network in on-line learning. The designed fuzzy neural network controller can make reasoning on-line based on fuzzy reasoning system. In training, fuzzy reasoning rules, member function and parameters can be trained on-line through neural network. Simulation experiment results show that the designed improved fuzzy neural network controller may control hydraulic turbine generating units efficaciously and has quick controlling speed and less controlling max-error. So it provides a good control strategy for hydraulic turbine generating units system.
Keywords :
MIMO systems; fuzzy neural nets; hydroelectric generators; neurocontrollers; nonlinear control systems; power system control; control strategy; fuzzy neural network controller; fuzzy reasoning rules; hydraulic turbine generating units system; improved FNNC; learning method; nonlinear MIMO system; online learning; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Hydraulic turbines; Learning systems; MIMO; Neural networks; Nonlinear control systems; Performance gain;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.478