Title :
The intelligent hybrid control of the hydraulic governor system
Author :
Sun, Jian-ping ; Jin, Xiu-zhang
Author_Institution :
Sch. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China
Abstract :
The hydraulic turbo-generator is considered to be a non-minimum phase (NMP) system. In order to reduce the value of "undershoot" or "overshoot", and improve the performance of the system, the design of the intelligent hybrid control and its parameters tuning method are proposed. Simulation results show that this control method is simple, and the system with this control method has high accuracy at steady state. It also has better robustness and is fast than traditional PID control.
Keywords :
fuzzy control; hydraulic systems; hydroelectric generators; intelligent control; turbogenerators; hydraulic governor system; hydraulic turbo-generator; intelligent hybrid control; nonminimum phase system; parameters tuning method; Control systems; Control theory; Error correction; Fuzzy control; Fuzzy systems; Hybrid intelligent systems; Intelligent control; Nonlinear control systems; Robust control; Three-term control; hydraulic turbo-generator; intelligent hybrid control; non-minimum phase system;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527079
