A fractional-order active disturbance rejection control for permanent magnet synchronous motor position servo system

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Asian Journal of Control Pub Date : 2024-04-22 DOI:10.1002/asjc.3393
Shaohua Wang, Bolin Li, Pengchong Chen, Wei Yu, Yibing Peng, Ying Luo
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Abstract

This paper introduces a novel control scheme for the permanent magnet synchronous motor (PMSM) position servo system using a fractional-order active disturbance rejection control (ADRC) approach. Specifically, a first-order ADRC is employed in the current loop, while a fractional-order ADRC is designed for the position loop. In the latter, a linear extended state observer (LESO) is utilized to estimate and compensate for disturbances, while a fractional-order proportional derivative (FO[PD]) feedback controller is employed to enhance the control performance. Moreover, a parameter tuning method is presented based on frequency domain specifications. This technique utilizes the flat phase constraint as a design constraint to ensure that the phase is flat near the gain crossover frequency, thus ensuring that the closed-loop system remains robust to loop gain variations. Simulation and experimental results demonstrate that the proposed fractional-order ADRC control scheme yields improved dynamic response, disturbance rejection, and robustness to loop gain variations.

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永磁同步电机位置伺服系统的分数阶主动干扰抑制控制系统
本文采用分数阶主动干扰抑制控制(ADRC)方法,为永磁同步电机(PMSM)位置伺服系统介绍了一种新型控制方案。具体来说,电流环采用了一阶 ADRC,位置环则设计了分数阶 ADRC。在后者中,利用线性扩展状态观测器(LESO)来估计和补偿干扰,同时采用分数阶比例导数(FO[PD])反馈控制器来提高控制性能。此外,还提出了一种基于频域规范的参数调整方法。该技术利用平坦相位约束作为设计约束,确保增益交叉频率附近的相位平坦,从而确保闭环系统对环路增益变化保持稳健。仿真和实验结果表明,所提出的分数阶 ADRC 控制方案的动态响应、干扰抑制和对环路增益变化的鲁棒性都得到了改善。
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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