The Nonlinear Control of a Magnetic Bearing System
碩士 === 國立中央大學 === 機械工程研究所 === 89 === The magnetic bearing system is a nonlinear system. In this thesis, we discuss four different controllers. The first controller is PID controller. Its advantages are easily implemented and simple calculated. It is the best-known controller applied in in...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2001
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| Online Access: | http://ndltd.ncl.edu.tw/handle/34505214634570471590 |
| Summary: | 碩士 === 國立中央大學 === 機械工程研究所 === 89 === The magnetic bearing system is a nonlinear system. In this thesis, we discuss four different controllers. The first controller is PID controller. Its advantages are easily implemented and simple calculated. It is the best-known controller applied in industrial control processes. The second controller is fuzzy gain scheduling of PID controller. The human expertise on PID gain scheduling can be represented in fuzzy rules and it improves the performance of traditional PID controller with fixed parameters. The third controller is sliding mode controller. Before we use the sliding controller, we should do the system identification. And then we use the model from ID to design the sliding controller. The system is completely insensitive to parametric uncertainty and external disturbances when we use the sliding mode controller. The last one is the adaptive feedforward controller. When the principal axis of inertia is not coincident with the axis geometry it will cause an unbalance mass. The adaptive feedforward controller could reduce the unbalance force caused by an unbalance mass.
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