Study of Fuzzy Control for Turbofan Engine Based on Improved Genetic Algorithms Optimization
In the paper, the fuzzy control algorithm was studied in turbofan engine. The turbofan engine models of little deflection model and large deflection model were built based on component level model. Then, a fuzzy controller, including the fuzzyintegral mixed controller, smith forecast and compensation, was designed with the fuzzy rules were optimized by improved genetic algorithm. The simulation results show that the designed control system responds fast, has no overshoot or oscillation, and the control precision is high. The controller can effectively solve time delay influence with a great control effect for little deflection model and acceleration model.
turbofan engine smith forecast and compensation fuzzy control genetic algorithm
HU Yu YANG Yue-cheng ZHANG Shi-ying YU Xi-xing
Xi an research Inst. Of Hi-Tech, Hongqing Town, Xi an, P. R. China, 710025
国际会议
大连
英文
1072-1076
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）