Design of Adaptive Fuzzy-Smith Controller Based on Improved Genetic Algorithm
For the complex controlled object with time-delay and time-varying, this paper presents an adaptive Fuzzy- Smith control system, combining the fuzzy logic controller optimized by Genetic algorithms with the Smith Predictor. The least-square parameter online identification technology is adopted to accomplish the self-adjusting of Smith Predictor according to the parameters variation of the object model. Meanwhile, the improved genetic algorithm adjusts the fuzzy logic controller to adapt to the object with parameters variation. The proposed method is applied to an aircraft deicing vehicle under MATLAB, and the result of the simulation illustrates that the system has good dynamic performance and robustness.
Genetic Algorithm Fuzzy-Smith control Time-delaying Time-varying Parameter Identification
Hua Li Qiu Ma
School of the Automation& Electrical Engineering, Lanzhou Jiaotong University Lanzhou 730070, China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
1985-1989
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）