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A Novel Motor Controller Based on Model Predictive Control
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| Author(s) |
Zedong ZHENG, Kui WANG, Yongdong LI |
| Abstract |
Model predictive control (MPC) is a newly developed control algorithm which can realize the optimal by the state predict and optimal control with lest control errors and smallest control cost. MPC is widely applied in process control systems. In this paper, the MPC algorithm is realized in motor control system instead of the traditional PI regulators. The proposed MPC controller is generic and can be easily modified for the application on other kind of motors. By some algorithm simplification, MPC can be realized and the optimal control variables are obtained easily by ordinary digital processers. Experimental results on induction motor are given to verify the performance. |
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| Filename: | 0075-epe2013-full-08073067.pdf |
| Filesize: | 226.6 KB |
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| Type |
Members Only |
| Date |
Last modified 2014-02-09 by System |
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