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机构地区:[1]浙江工业大学信息工程学院,浙江杭州310032
出 处:《机电工程》2009年第11期18-20,30,共4页Journal of Mechanical & Electrical Engineering
基 金:浙江省自然科学基金资助项目(Y106007)
摘 要:针对普通PID控制系统性能受参数变化及各种不确定性影响严重等缺点,在基本模型算法控制(MAC)基础上,综合了MAC在线实时预测、优化、反馈校正的优点,在控制器中引入了积分因子组成增量型模型算法控制(IMAC),并将该算法应用于永磁同步电机(PMSM)速度控制中。仿真结果表明,由该算法构成的控制器较普通的PID控制,在系统模型参数与实际参数严重失配的情况下,能够有效抑制各种不确定性的不良影响,且系统鲁棒性强,又可获得令人满意的动态性能。Aiming that the control performance of the systems with general PID controller is significantly influenced by various uncertainties of the plant and unpredictable plant parameter variations, an increment model algorithmic control (IMAC) scheme was proposed, the advantages of general model algorithmic control (MAC) in prediction, optimization and feedback on-line real time were synthesized, and integrating factor in the controller was added. The IMAC was applied to permanent magnet synchro-nous motor (PMSM) speed control,The simulation results show that compared with conventional PID regulating, the controller based on IMAC is robust with regard to plant parameter variations and external load disturbance when the model mismatch, and the robustness is strong and the dynamic performance is excellent.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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