永磁同步电动机驱动系统中MPCC与MPTC的比较研究

Yifang Zhu, J. Yin, Gang Xu
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引用次数: 10

摘要

本文将模型预测控制(MPC)、模型预测电流控制(MPCC)和模型预测转矩控制(MPTC)两种控制方法应用于永磁同步电机(PMSM)的控制系统。该算法基于对不同代价函数的最小化,从而得到相应的最优电压矢量。对所测试的永磁同步电动机与MPCC和MPTC的动态和稳态性能进行了比较。考虑了延迟补偿以减小电流和转矩的波动,以减少使用单一矢量的计算负担,比较了两种方法在速度控制系统的动态和稳态性能以及速度跟踪性能和抗负载扰动能力方面的差异。仿真结果表明,MPCC和MPTC都能很好地应用于永磁同步电机驱动系统,并具有良好的速度跟踪性能。然而,MPCC可以在定子电流中实现更少的谐波,因此圆形磁链轨迹更平滑,而MPTC在机械转矩波动较小方面表现出优势。
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A Comparative Study of MPCC and MPTC in PMSM Drive System
In this paper, using the two control methods of model predictive control (MPC), model predictive current control (MPCC) and model predictive torque control (MPTC) is applied to the control system of permanent magnet synchronous motor(PMSM). The algorithms are based on the minimization of different cost functions, and the corresponding optimal voltage vector can be obtained. Comparison of the dynamic and steady state performance of the tested PMSM with MPCC and MPTC is elaborated. The delay compensation is considered to reduce the fluctuation of current and torque, in order to reduce the computational burden by using a single vector, comparison of two methods in the speed control system of dynamic and steady-state performance and speed tracking performance and resistance to load disturbance. The simulation results show that both MPCC and MPTC can be well applied to the PMSM driving systems with good speed tracking performance. However the MPCC can achieve less harmonics in the stator currents, and consequently the circular flux linkage trajectory is smoother, while the MPTC shows advantages in smaller ripples in the mechanical torque.
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