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Constrained State Feedback Speed Control of PMSM Based on Model Predictive Approach

机译:基于模型预测方法的永磁同步电机约束状态反馈速度控制

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This paper presents constrained state feedback speed control of a permanent-magnet synchronous motor (PMSM). Based on classical control theory, nonlinear state-space model of PMSM is developed. A simple linearization procedure is employed to design a linear state feedback controller (SFC). Digital redesign of a SFC is carried out to achieve discrete form suitable for implementation in a DSP. Model predictive approach is used to constraint introduction into control system. It overcomes limitations of motion control system with nonconstrained SFC resulting in low dynamic properties. The novel concept utilizes machine voltage equation model to calculate the boundary values of control signals which provide permissible values of the future state variables. Secondary control objectives such as zero -axis current are included. Simulation and experimental results are presented to validate the proposed constrained state feedback control algorithm in comparison to nonconstrained state feedback control and cascade control structure, respectively.
机译:本文提出了一种永磁同步电动机(PMSM)的约束状态反馈速度控制。基于经典控制理论,建立了永磁同步电机的非线性状态空间模型。采用简单的线性化过程来设计线性状态反馈控制器(SFC)。进行SFC的数字重新设计以实现适用于DSP的离散形式。模型预测方法用于约束引入控制系统。它克服了运动控制系统具有非约束SFC的局限性,从而导致低动态特性的问题。该新颖概念利用机器电压方程模型来计算控制信号的边界值,该边界值提供了将来状态变量的允许值。包括次级控制目标,例如零轴电流。通过仿真和实验结果,分别与非约束状态反馈控制和级联控制结构进行比较,验证了所提出的约束状态反馈控制算法。

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