| Summary: | 碩士 === 中華大學 === 電機工程學系(所) === 97 === Because of the complexity of the practical control system, it is hard to design a controller based on the traditional linear control technique. This study proposes some intelligent control schemes which combine the advantages of sliding-mode control, adaptive control and fuzzy control. These intelligent control algorithms can guarantee the system’s stability in the sence of Lyapunov theorem. In order to increase the convergence speed of tracking error and controller parameters, the adaptive laws are redesigned in a PI type and a PID type forms. Moreover, a PI type compensator which boundary has a switching capacity of adaptive fuzzy controller is proposed to remove the chattering phenomena and to guarantee the system to be stable. Finally, the proposed intelligent control algorithms (adaptive fuzzy control and adaptive fuzzy sliding-mode control system with PI-type and PID-type learning) are applied to a chaotic system and a DC motor, respectively. From the simulation and experimental results, it shows the developed PID type adaptive fuzzy (sliding-mode) control with PI compensator can achieve the better control performance than the others.
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