| Summary: | 博士 === 元智大學 === 電機工程學系 === 100 === The purpose of this dissertation is to develop some self-tuning control systems, and apply them to some uncertain nonlinear closed-loop control systems. Firstly, a self-tunning proportional-integral-derivative (SPID) control system is proposed. This SPID control system is applied to two nonlinear systems to illustrate its effectiveness. Next, a self-tuning fuzzy control (SFC) system is designed for the DC-DC converters. This SFC system is realized on a field programmable gate array chip to control the DC-DC converters. The behavior of the chaotic systems is highly nonlinear unpredictable, so how to synchronize this kind of systems becomes an impotrant subject in control engineering. Therefore, a self-tuning neuro-wavelet synchronization control (SNSC) is proposed for the chaotic systems. Finally, through the constructing self-tuning laws, a self-organizing fuzzy neural control (SFNC) system is proposed. This SFNC system is applied to a chaotic circuit and/or a DC motor control system to illustrate its effectiveness. In summary, the simulation and experimental results have illustrated the control performance and efficiency of theabove design methods.
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