Robust Control of Induction Motor Speed Regulation System Based On Fuzzy Neural Network Generalized Inverse

摘要：

According to the multivariable nonlinear and coupling of the Induction Motor Speed Regulation System, a strategy of robust control based on fuzzy neural network (FNN) generalized inverse system (GIS) is adopted. Being properly designed, a FNN is used to construct the generalized inversion of the induction motor’s speed regulation system and a pseudo-linear system with open-loop stability is obtained after connecting them. A robust controller is designed based on two-degree of freedom internal model control (IMC) by which the rotator speed can be controlled accurately. Experiment results show that this pseudo-linear system has open-loop stability and good static and dynamic performance and the strong robustness to load torque disturbance and parametric perturbation, un-modeled dynamics et al. can be achieved by using the designed controller.

关键词： Induction Motor Fuzzy Neural Network (FNN) Generalized Inverse System (GIS) Robust Control

作者: Guohai Liu Chenglong Teng Beibei Dong LinglingChen Yan Jiang

作者单位: School of Electrical & Information Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 2729-2732

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）