Intelligent Fuzzy Logic Control

• Main Authors: Ju-Chang Lee, 李如章
• Other Authors: Chih-Min Lin
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/90022675221436185319

碩士 === 元智大學 === 電機工程研究所 === 88 === Fuzzy logic controller is very suitable for multi-input multi-output (MIMO) nonlinear systems with controller which is complex and not easy realized by the classical design method. Several fuzzy sliding-mode control, self-organizing fuzzy sliding-mode control and adaptive fuzzy sliding-mode control are proposed in this thesis. The fuzzy logic method is applied to reduce the chattering control signal in conventional sliding-mode controller. The problems in fuzzy logic controllers: (1) the stability on FLC; (2) the huge number of fuzzy rules, are solved. The proposed fuzzy sliding-mode controller design methods are applied to three practical systems; the servo motor systems and the robotic systems. Simulation results demonstrate that the system performance is improved sufficiently and the stability and robustness properties are also possessed. Finally, the adaptive technique is added to fuzzy sliding-mode control to improve the system response by changing the sliding surface.