永磁同步电机的参数辨识及其模型预测控制研究
发布时间：2018-12-26 14:27
【摘要】：摘要：永磁同步电机定转子参数变化严重影响电机的控制性能,因此本文对永磁同步电机进行参数辨识及模型预测控制研究。 针对带遗忘因子最小二乘参数辨识算法中遗忘因子的选择问题,提出了跟随误差变化的分段中值遗忘因子最小二乘辨识方法。建立了参数辨识仿真模型,并在此基础上,对比分析了带遗忘因子最小二乘法、线性时变遗忘因子最小二乘法和本文提出的分段中值遗忘因子最小二乘法这三种方法的辨识效果。仿真结果表明本文提出的方法辨识结果更为准确,完成辨识的时间更短。 针对永磁同步电机的定转子参数变化与外界负载扰动的影响问题,提出了一种改进的模型预测控制算法。增加电压前馈补偿模块,实现d、q轴电流解耦；采用一阶差分增量法设计电流环和速度环的模型预测控制器；并通过设计一个性能指标函数得到预测控制器增量表达式。建立了永磁同步电机控制系统仿真模型,对比分析了本文方法与PI控制器的控制效果。仿真结果表明本文提出的方法能更好地抑制电机定转子参数变化与外界负载扰动的影响,具有较强的鲁棒性。
[Abstract]:Abstract: the change of stator and rotor parameters of permanent magnet synchronous motor (PMSM) seriously affects the control performance of PMSM, so the parameter identification and model predictive control of PMSM are studied in this paper. Aiming at the problem of selecting the forgetting factor in the least square parameter identification algorithm with forgetting factor, a piecewise median forgetting factor least squares identification method with error variation is proposed. The simulation model of parameter identification is established, and on this basis, the least square method with forgetting factor is compared and analyzed. The identification effect of the linear time-varying forgetting factor least square method and the piecewise median forgetting factor least square method proposed in this paper. The simulation results show that the proposed method is more accurate and the time to complete identification is shorter. An improved model predictive control algorithm is proposed to solve the problem of the change of stator and rotor parameters of permanent magnet synchronous motor (PMSM) and the influence of external load disturbance. The DC Q axis current decoupling is realized by adding voltage feedforward compensation module, the model predictive controller of current loop and speed loop is designed by first order difference increment method, and the incremental expression of predictive controller is obtained by designing a performance index function. The simulation model of permanent magnet synchronous motor control system is established, and the control effect of this method and PI controller is compared and analyzed. The simulation results show that the proposed method can better suppress the influence of stator and rotor parameters change and external load disturbance on motor, and it has strong robustness.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM341
[Abstract]:Abstract: the change of stator and rotor parameters of permanent magnet synchronous motor (PMSM) seriously affects the control performance of PMSM, so the parameter identification and model predictive control of PMSM are studied in this paper. Aiming at the problem of selecting the forgetting factor in the least square parameter identification algorithm with forgetting factor, a piecewise median forgetting factor least squares identification method with error variation is proposed. The simulation model of parameter identification is established, and on this basis, the least square method with forgetting factor is compared and analyzed. The identification effect of the linear time-varying forgetting factor least square method and the piecewise median forgetting factor least square method proposed in this paper. The simulation results show that the proposed method is more accurate and the time to complete identification is shorter. An improved model predictive control algorithm is proposed to solve the problem of the change of stator and rotor parameters of permanent magnet synchronous motor (PMSM) and the influence of external load disturbance. The DC Q axis current decoupling is realized by adding voltage feedforward compensation module, the model predictive controller of current loop and speed loop is designed by first order difference increment method, and the incremental expression of predictive controller is obtained by designing a performance index function. The simulation model of permanent magnet synchronous motor control system is established, and the control effect of this method and PI controller is compared and analyzed. The simulation results show that the proposed method can better suppress the influence of stator and rotor parameters change and external load disturbance on motor, and it has strong robustness.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM341
【相似文献】
相关期刊论文 前10条
1 陈保进,朱q，
本文编号：2392249
本文链接：https://www.wllwen.com/kejilunwen/dianlilw/2392249.html
教材专著
