| Summary: | 碩士 === 輔仁大學 === 電機工程學系碩士班 === 106 === This thesis presents a design optimization of the proportional-integral-derivative (PID) controller for the power electronics applications by using the Taguchi method combined fuzzy logic. In the first stage, a multi-objective design optimization based on Taguchi method is proposed to find the approximate optimum gains of the designed PID controller, which can minimize the step-response characteristics such as the maximum overshoot, the rise time, the settling time, and the steady-state error of the system output. From the analysis of variance in this stage, the two most significant gains of PID controller can be determined. Next, the fuzzy logic Taguchi method (FLTM) considering the multiple performance characteristics index (MPCI) is employed to obtain the accurate optimum values of these two gains. By integrating orthogonal arrays (OA), signal-to-noise ratios (SNR), response table, and analysis of variance into the fuzzy-rule-based inference system, the number of experiments required to find the most factor-level combinations can be reduced. Due to multiple contradictory output responses, the proposed optimum design with the two-stage process which composes of Taguchi method and fuzzy logic can effectively find the optimum values of PID controller. The experimental results from the buck/boost converter and the in-wheel motor speed control confirm the validity of the proposed method.
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