| Summary: | 碩士 === 國立中央大學 === 機械工程研究所 === 94 === ABSTRACT
The purpose of this thesis is focused on the analysis and controller design of non-linear dynamic system with multi-input / multi-output (MIMO) and systematic coupling characteristics. The dynamic model of a two-level mass-spring damper system is first derived; then, two controllers based on the fuzzy theory are developed accordingly. Finally, numerical simulation is carried out to verify the stability and robustness of the controllers.
Firstly, a fuzzy-based self-tuning PID controller is proposed based on the fuzzy theory in this thesis and a simple fuzzy controller is structured to adjust PID parameter mechanism automatically; that can let the time-varying system to get in good time control. Another control method is the fuzzy-based genetic algorithm controller and is used the improvement on genetic algorithm to adjust the fuzzy relevant parameter of controller. This control strategy succeeds in improving destabilizing factors, slow-converging, and the local-optimal controller gains with incomplete convergence etc, while algorithms searching the optimal controller gains. It can converge steadily and search effectively the optimal or approximate-optimal controller gains.
According to the simulation results of the computer, two-level mass-spring damper dynamic system can make theirs accelerating convergence steadily, and these fuzzy controllers both have good control performance. The above- strategy of two controllers can be successful to solve the programs of the non-linear, coupling, irregular parameter and external interference
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Keywords:
MIMO System; Fuzzy Control; PID Controller; Genetic Algorithm;
Vibration System
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