Summary: | 碩士 === 中華技術學院 === 電子工程研究所碩士班 === 92 === We design a simplified fuzzy controller (SFC), with two inputs and one output. The two input single output fuzzy controller could be divided into two parts “crisp logic” and “control magnitude” part. In chapter 2, the SFC aim is to reduce the number of control rules and simplified the inference procedure in convention fuzzy controller, and to reduce the difficulty of real-time fuzzy controller design. In chapter 3, we use genetic algorithms to optimize the control magnitude, make up the system response can mach us requests. But how get an agreeable “control magnitude” was a must overcame problem. So, In chapter 4, a supervisory control part based on sliding mode control is used to overcome this problem, let user not need precisely design “control magnitude” part, and the closed loop system in external disturbance and system uncertainty is constructed to stabilize. We apply the proposed control scheme to a time-varying inverted pendulum balancing system to show the effectiveness of our proposed robust-SFC. In chapter 5, the simplified fuzzy controller design for a buck-switching power supply is investigated in this paper. We present the power circuit parameters and derive the mathematical model of the power converter. Explaining how to design the simple fuzzy controller, and using the proposed control scheme to design a buck switching power supply controller. Form the simulation results and real-time experiment; we can find the proposed control scheme is efficiency in the application of buck switching power supply.
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