【摘要】 模型预测控制概念清晰且易于处理包含约束条件的多变量控制问题,已经成为电力传动领域研究的热点。该文利用系统闭环模型及闭环极点分布等方法,研究了一拍滞后对三相异步电机连续控制集模型预测电流控制(CCS-MPCC)的影响,并从预测的动、静态特性以及电机参数敏感性等方面比较了四种基于模型的滞后补偿方法。首先,介绍了三相异步电机CCS-MPCC的基本原理;其次,利用系统闭环模型分析了一拍滞后对CCS-MPCC的影响,并给出了四种基于模型的预测补偿方法;最后,通过仿真和实验验证了一拍滞后对模型预测控制的影响,并比较了四种滞后补偿方法的特性。实验结果表明,改进降阶观测器具有良好的一拍滞后补偿特性,可以有效降低电流控制的超调、振荡以及纹波,提高CCS-MPCC的动态响应速度和控制稳定性。更多还原

【Abstract】 Recently, model predictive control(MPC) has been a hot research topic in electric drives for its advantages of clear concepts and easy consideration of multivariable case with constraints. In this paper, the effect of one-step delay on continuous control set model predictive current control(CCSMPCC) for three-phase induction machine is investigated by the closed-loop system and the distribution of the closed-loop poles. Four model-based delay compensation methods are compared from the static and dynamic characteristics of the prediction, and the sensitivity to the motor parameters. Firstly, the basic principle of CCS-MPCC for three-phase induction machine is introduced. Then, the effect of onestep delay on CCS-MPCC is analyzed by using closed-loop model of the system, and four model-based prediction compensation methods are presented. Finally, the effect of one-step delay on CCS-MPCC characteristics is verified by simulation and experiment, and the characteristics of four compensation methods are compared. The experimental results show that the improved reduced order observer can effectively reduce the current overshoot, oscillation and current ripple, improve dynamic response speed and control stability of CCS-MPCC.更多还原