| Summary: | 碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 105 === The fractional-order PID (FOPID) controller is designed by the hybrid Taguchi-genetic algorithm (HTGA) combining genetic algorithm (GA) with Taguchi method in this thesis, and this FOPID controller is applied to the different systems: single-input single-output (SISO) stable system, SISO unstable system, stable systems with time delay and high-dimensional system. The comparisons between HTGA and GA designs are presented, and the results reveal the superiority of the proposed method.
Generally, the optimization approach is usually used to design the parameters of the PID controller in order to achieve better control performance. However, most of the optimization approaches often meet the trouble of being the local optimal solution. In this thesis, the proposed HTGA method can enhance the global exploration capability and the robustness property of the solution to find a better FOPID controller. In addition, if a design with the tolerance is considered, the designed FOPID controller with HTGA can still keep good performance even though the system is under uncertainties.
Finally, the effectiveness of the proposed method is verified via a FOPID robust controller using tolerance design to control the electrostatic precipitator (ESP) current for opacity which is an SISO stable system.
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