基於粒子群聚演算法之磁浮軸承系統最佳化PID控制及動態分析
碩士 === 國立勤益科技大學 === 電機工程系 === 104 === This paper describes a study of optimized PID control for a magnetic bearing system. Such a system is nonlinear and extremely unstable and this poses the extremely important question of how to perform modeling and control. In this study curve fitting was used to...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/kfkgjv |
| Summary: | 碩士 === 國立勤益科技大學 === 電機工程系 === 104 === This paper describes a study of optimized PID control for a magnetic bearing system. Such a system is nonlinear and extremely unstable and this poses the extremely important question of how to perform modeling and control. In this study curve fitting was used to construct a dynamic equation model. The model was built and verified in practical experiments and found to be of relatively high accuracy. Particle Swarm Optimization (PSO) was used to search for optimizing PID control parameters so that MATLAB software could be used in conjunction with the dSPACE hardware to develop a control platform. Practical experiments verified that the parameters obtained using the PSO algorithm, could be used to directly control the system to reach a desired position, and this method was more efficient than the trial-and-error manual adjustment of PID control parameters.
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