Title :
Direct adaptive fuzzy controller for hydraulic turbine generators
Author :
Jianming, Zhang ; Shuqing, Wang
Author_Institution :
Res. Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
A novel direct adaptive fuzzy control approach is proposed for the hydraulic turbine generator with complex dynamic characteristics and uncertainties. Based on the simplified Takagi-Sugeno fuzzy inference rule and the associative learning strategy of neural network for tuning the connection weights, an equivalent fuzzy neural network is given. The controller based on this fuzzy neural network can realize the adaptive fuzzy control law without modeling the plant. A series simulation test for a hydraulic turbine generator show that the control method presented not only has a simple design procedure and strong robustness, but also achieves good performances of the hydraulic turbine generator under difference work condition
Keywords :
adaptive control; fuzzy control; fuzzy neural nets; hydroelectric generators; inference mechanisms; learning (artificial intelligence); neurocontrollers; Takagi-Sugeno model; adaptive control; associative learning; fuzzy control; fuzzy inference; fuzzy neural network; hydraulic turbine generator; Adaptive control; Character generation; Fuzzy control; Fuzzy neural networks; Hydraulic turbines; Neural networks; Programmable control; Takagi-Sugeno model; Testing; Uncertainty;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862776
