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基于扰动观测与分数阶终端滑模转速调节器的永磁同步电机模型预测控制 被引量:3

Model Predictive Control for Permanent Magnet Synchronous Motor Drive System Based on DO and FOTSM Speed Regulator
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摘要 针对三相永磁同步电机(PMSM)驱动系统,为提高其转速控制精度和响应速度,减小定子电流脉动,结合分数阶控制理论和终端滑模控制技术设计了一种分数阶终端滑模(FOTSM)转速调节器。在提高系统响应速度和精度的同时减小了传统滑模控制的抖振,增强了系统的抗扰动能力和鲁棒性;考虑PMSM在实际运行过程中易受到参数变动及外部扰动不确定性等因素的影响,基于滑模控制技术设计了一种扩展滑模扰动观测器(ESMDO),实现了对系统所受内外扰动的实时观测及前馈补偿;采用分数阶控制理论来设计转速调节器能够更加切合实际的控制过程,使所得到的系统参数和实验数据更加符合电机运行的真实情况;采用模型预测转矩控制(MPTC)算法取代传统的DTC系统,减小了转矩和磁链脉动、提高了系统的运行性能。通过对比仿真验证了所设计的控制策略的正确性。 A fractional order terminal sliding-mode(FOTSM)speed regulator-based fractional order control theory and terminal sliding-mode control technical was designed for three-phase permanent magnet synchronous motor(PMSM)drive system.In order to reduce stator current ripples and improve speed control accuracy and responding speed.At the same time,in order to reduce traditional sliding-mode chatter and overcome load disturbance and parameters variation,the extended sliding mode disturbance observer(ESMDO)-based sliding-mode was designed to realize the internal and external disturbances to the system and feedforward compensation.Using fractional-order control theory to design the speed regulator can be more realistic control process,so that the system parameters and experimental data are more in line with the real situation of motor operation;use model predictive control(MPTC)algorithm replaces the traditional DTC system,reduces torque and flux linkage ripple,and improves system performance.The correctness of the designed control strategy was verified by comparison and simulation.
作者 靳宇星 曹兴举 常海赐 许靖 JIN Yuxing;CAO Xingju;CHANG Haici;XU jing(Xinjiang Vocational & Technical College of Communications, Urumqi 830001, China;State Grid Xinjiang Electric Power Research Institute, Urumqi 830001, China)
出处 《微电机》 2021年第2期84-90,共7页 Micromotors
基金 全国交通运输职业教育教学指导委员会交通运输职业教育科研项目(援疆专项)(2020YJ503)。
关键词 永磁同步电机 终端滑模控制 分数阶控制 扰动观测器 模型预测控制 permanent magnet synchronous motor terminal sliding mode control fractional order control disturbance observer model predictive control
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