Title :
Research on fuzzy PI control for switched reluctance wind power inverter with SVPWM
Author :
NguyenXuan Truong ; Wang, Honghua ; Ngu, NguyenViet
Author_Institution :
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
Switched reluctance generator (SRG) is a new type generator with excellent performances such as high efficient, sturdy and durable. There are broad prospects for wind power of switched reluctance generator. Considering the nonlinear characteristics of SRG wind power system, the advanced control algorithm such as intelligent control algorithm should be used to overcome the limitation of normal PI algorithm. In this paper, a fuzzy-PI controller for SRG wind power system with three-phase SVPWM inverter is researched, and simulation model of SRG wind power with three-phase SVPWM inverter with fuzzy-PI control algorithm is set up based on MATLAB SIMULINK/POWER SYSTEM. The simulation results given in this paper verify the fuzzy-PI control algorithm combines the advantages of the fuzzy control and PI control. Compared with normal PI controller, the fuzzy-PI control algorithm possesses a better dynamic response and the accuracy of the steady-state and robustness for nonlinear SRG wind power system with three-phase SVPWM inverter.
Keywords :
PI control; PWM invertors; fuzzy control; intelligent control; power generation control; wind power plants; Matlab Simulink-power system; SRG wind power system; fuzzy PI control; intelligent control algorithm; switched reluctance generator; switched reluctance wind power inverter; three-phase SVPWM inverter; Heuristic algorithms; Integrated circuits; Inverters; Niobium; Space vector pulse width modulation; Switches; Wind power generation; Space Vector Pulse Width Modulation (SVPWM); Switched reluctance wind power; fuzzy PI; inverter;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965292