永磁同步电机驱动与自适应状态反馈速度控制器

IF 1.2 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Bulletin of the Polish Academy of Sciences-Technical Sciences Pub Date : 2023-11-06 DOI:10.24425/BPASTS.2020.134624
Rafał Szczepański, T. Tarczewski, L. Grzesiak
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引用次数: 6

摘要

本文研究了非定参数对象的控制问题。为了保证系统的响应不变,提出了一种永磁同步电动机自适应状态反馈速度控制器。采用模型参考自适应系统,采用Widrow-Hoff规则作为控制器系数的调节机制。描述了与成本函数的构造和负责调整状态反馈速度控制器系数的公式有关的必要修改。实验研究了自适应增益对系统行为的影响,这是所提出的调节机制中唯一的参数。讨论了所提出的自适应算法的计算资源消耗和实现问题。该方法已应用于现代非恒定惯性矩SiC驱动的大量实验测试中。并对自适应和非自适应控制方案进行了比较。
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PMSM drive with adaptive state feedback speed controller
In this paper, the issue related to control of the plant with nonconstant parameters is addressed. In order to assure the unchanged response of the system, an adaptive state feedback speed controller for permanent magnet synchronous motor is proposed. The model-reference adaptive system is applied while the Widrow-Hoff rule is used as adjustment mechanism of controller’s coefficients. Necessary modifications related to construction of the cost function and formulas responsible for adjustment of state feedback speed controller’s coefficients are depicted. The impact of adaptation gain, which is the only parameter in proposed adjustment mechanism, on system behaviour is experimentally examined. The discussion about computational resources consumption of the proposed adaptation algorithm and implementation issues is included. The proposed approach is utilized in numerous experimental tests on modern SiC based drive with nonconstant moment of inertia. Comparison between adaptive and nonadaptive control schemes is also shown.
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来源期刊
CiteScore
2.80
自引率
16.70%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The Bulletin of the Polish Academy of Sciences: Technical Sciences is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred: Artificial and Computational Intelligence, Biomedical Engineering and Biotechnology, Civil Engineering, Control, Informatics and Robotics, Electronics, Telecommunication and Optoelectronics, Mechanical and Aeronautical Engineering, Thermodynamics, Material Science and Nanotechnology, Power Systems and Power Electronics.
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