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| Internal model control of frequency speed control induction motor variable system based on neural network generalized inverse |
| School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China |
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Abstract In order to improve the robustness and anti-interference ability of induction motor variable frequency speed control system, an internal model control （IMC） method based on neural network generalized inverse（ NNGI） method is proposed. On the basis of reversibility analysis of original system, the generalized inverse model approximated by the dynamical BP neural network is connected with the original system, and the generalized pseudo-linear combined system is constructed. Based on the NNGI, linearization and open-loop stability of system can be reached, which benefits the integration of control system. Then the robust stability can be ensured by introducing internal model control in generalized pseudo-linear system. Experiments of step response and tracking response were implemented based on this system. The results show that the linearization of the system can be realized successfully and the high performance of speed eontrol can be ensured when the system has inverse modeling errors and changeable load.
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2010, Vol. 31 
