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作 者:余文琦 简炜[1] 张金亮[1] 彭国生 陈宇峰[1] 王志虎 Yu Wenqi;Jian Wei;Zhang Jinliang;Peng Guosheng;Chen Yufeng;Wang Zhihu(School of Electrical&Information Engineering,Hubei University of Automotive Technology,Shiyan 442002,China;Dongfeng Automobile Power Parts Co.Ltd,Shiyan 442002,China)
机构地区:[1]湖北汽车工业学院电气与信息工程学院,湖北十堰442002 [2]东风汽车动力零部件有限公司,湖北十堰442002
出 处:《湖北汽车工业学院学报》2024年第3期66-70,共5页Journal of Hubei University Of Automotive Technology
基 金:湖北省教育厅科学研究计划项目(D20221802,Q20221805);湖北省揭榜制科技项目(2021BEC002)。
摘 要:针对表贴式永磁同步电机在受到外界扰动时传统滑模控制系统超调量过大的问题,提出了基于模型预测的在线优化滑模面系数的方法。为了减少控制系统的超调量,文中用滑模观测器来观测系统的转速和位置,对滑模面系数进行预测,通过价值函数选取最优滑模面,使状态变量能够快速收敛到滑模面。仿真结果表明:与传统滑模控制相比,文中方法具有较高的抗干扰性。The overshoot of the traditional sliding mode control system is too large when the surfacemounted permanent magnet synchronous motor is disturbed by the external disturbance.Therefore,a method of online optimization of the sliding mode surface coefficient based on model prediction was proposed.In order to reduce the overshoot of the control system,the sliding mode observer was used to observe the speed and position of the system,and the sliding mode surface coefficient was predicted.The optimal sliding mode surface was selected by the value function so that the state variables could quickly converge to the sliding mode surface.The simulation results show that the proposed method has higher anti-interference compared with the traditional sliding mode control.
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