同步磁阻电机预测电流控制结构的比较研究

M. Costin, C. Lazar
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引用次数: 0

摘要

同步磁阻电动机(SynRM)由于其自身的优点,近年来得到了广泛的应用。在本文中,我们提出了基于约束预测控制算法的SynRM的两种当前控制结构的比较,以分析每种算法的性能。第一个结构从$dq$电流系统的V -规范模型出发,然后使用解耦控制器得到两个单输入单输出(SISO)解耦系统,每个系统都使用SISO约束预测控制算法进行控制。第二部分采用多输入多输出(MIMO)状态空间模型,设计了约束MIMO预测控制算法。为了更好地评估所提出的具有两种当前控制结构约束的预测控制器,使用Matlab-Simulink环境对这些预测控制技术进行了比较研究。对于性能测试,考虑了两种场景,其中包括输入和输出约束以及一组性能指标。
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Comparative Study of Predictive Current Control Structures for a Synchronous Reluctance Machine
The synchronous reluctance motor (SynRM), due to its advantages, has been used recently in many applications. In this paper, we propose a comparison of two current control structures for a SynRM based on constrained predictive control algorithms to analyze the performance of each algorithm. The first structure starts from the V -canonical model of the $dq$ current system, and then, using a decoupling controller, two single-input single-output (SISO) decoupled systems result, each being controlled with a SISO constrained predictive control algorithm. The second one uses a multi-input multi-output (MIMO) state-space model of the $dq$ current system for which a constrained MIMO predictive control algorithm is designed. For a better evaluation of the proposed predictive controllers with constraints of the two current control structures, a comparative investigation of these predictive control techniques was performed using the Matlab-Simulink environment. For the performance testing, two scenarios were considered that included both input and output constraints and a set of performance indices.
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