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作 者:赵希梅[1] 王海朋 金鸿雁 ZHAO Ximei;WANG Haipeng;JIN Hongyan(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)
机构地区:[1]沈阳工业大学电气工程学院,辽宁沈阳110870
出 处:《电机与控制学报》2025年第3期50-58,73,共10页Electric Machines and Control
基 金:辽宁省博士科研启动基金计划资助项目(2022-BS-177)。
摘 要:针对永磁同步电动机(PMSM)采用传统有限集模型预测控制时存在稳态电流脉动大及电机参数失配导致的性能下降问题,提出基于离散空间矢量调制(DSVM)的模型预测电流控制方法。首先,采用在DSVM基础上进一步扩展电压矢量的方式来减小稳态电流脉动,同时鉴于DSVM可能带来的计算量问题,利用估计最优电压矢量位置来减小计算负担,此外采用一种双周期的电压排列顺序来固定开关频率;其次,针对系统中存在的参数失配问题,采用滑模扰动观测器将系统参数失配造成的扰动补偿到电流预测模块,使得在电机参数失配的条件下也能获取准确的电流预测值,从而选取最优电压矢量;最后,通过DSVM和滑模扰动观测器相结合的方式,提高系统稳态性能的同时增强了系统参数的鲁棒性。仿真实验结果验证了该方法的有效性。Aiming at the problem of large steady-state current ripple and performance degradation caused by motor parameter mismatch in the traditional finite set model predictive control for PMSM,a model predictive current control approach based on discrete space vector modulation(DSVM)was proposed.Firstly,the steady-state current ripple was decreased by extending the voltage vector further based on DSVM.Meanwhile,considering the computational complexity caused by DSVM,the computational burden was alleviated by estimating the optimal voltage vector position.Moreover,a two-cycle voltage arrangement sequence was employed to fix the switching frequency.Secondly,aiming at the problem of parameter mismatch in the system,a sliding mode disturbance observer was utilized to compensate the disturbance caused by the parameter mismatch of the system to the current prediction module,so that the reliable current prediction value could be obtained under the condition of motor parameter mismatch,so as to select the best voltage vector.Through the combination of DSVM and sliding mode disturbance observer,the steady-state performance of the system was improved and the robustness of the system parameters was enhanced.Simulation results verify effectiveness of the proposed method.
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