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机构地区:[1]江苏大学电气信息工程学院,江苏镇江212013
出 处:《电机与控制应用》2009年第5期16-20,共5页Electric machines & control application
基 金:国家自然科学基金资助项目(60174052;60774044);江苏省自然科学基金资助项目(BK2003049)
摘 要:在给出磁悬浮开关磁阻电机(BSRM)径向力控制模型的基础上,根据逆系统理论求出其解析逆系统。利用求得的解析逆系统与原系统进行复合,构成伪线性系统,初步实现径向间的解耦。用模糊控制器作为径向位置控制器,对复合伪线性系统进行综合。考虑到所采用模型的近似性、不确定性及系统参数的时变性,在初步解耦的基础上,设计了模糊补偿器对解耦效果进行实时补偿。最后由模糊控制器的输出控制量和模糊补偿器的补偿量相加,构成BSRM径向力解耦控制系统的实际控制量。仿真结果表明所设计的模糊补偿逆系统解耦方法成功实现了径向间的解耦,控制系统性能优良。Based on the radial force control model of bearingless switched reluctance motors ( BSRM), the analytic inverse system of the radial force control model is given by applying the inverse system theory. Cascading the analytic inverse system with the original system, the compounded pseudo linear system of BSRM is formed and the pri- mary decoupling between the radial force is realized. The fuzzy logic controller is proposed as the radial position con- troller to control the compounded pseudo linear system. Considering the approximation and the uncertainty of the mod- el and the time variation of the system parameters, the fuzzy logic compensator is designed to compensate the perform- ance of the primary decoupling. The actual control quantity of BSRM is the sum of the out-put control quantity of fuzzy logic controller and the compensation quantity of fuzzy logic compensator. The simulation results have shown that the proposed fuzzy logic compensation inverse system decoupling control succeeds in decoupling control of radial force with good performance.
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