Modified Internal Model Control of Induction Motor Variable Frequency Speed Control System in v/f mode Based on Neural Network Generalized Inverse
In order to improve the robustness and anti-interference ability of induction motor variable frequency speed control system (IMVFSCS), a modified internal model control (MIMC) method based on neural network generalized inverse NNGI was proposed. On the basis of reversibility analysis of original system, the generalized inverse model approximated by the dynamical BP neural network was cascaded with the original system. Based on the idea of NNGI, linearization and open-loop stability of system can be reached, which benefits the integration of control system. Then the robust stability can be improved by introducing modified internal model control method to generalized pseudo-linear system. The results of experimental researches demonstrate that the linearization of the system can be realized successfully and the high performance of speed control can be ensured when the system has inverse modeling errors and changeable load.
Induction Motor Speed Control System Neural Network Generalized Inverse Modified Internal Model Control Robustness
Guohai Liu Xiao Xiao Chenglong Teng Guanxue Yang Yan Jiang Yue Shen
School of Electrical & Information Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3170-3174
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）