Fixed-Time Adaptive Extended State Observer-Based Enhanced ADRC for Electric Motor Drives

IF 4 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems II: Express Briefs Pub Date : 2025-03-07 DOI:10.1109/TCSII.2025.3549070

Haiyang Cao;Yongting Deng;Xiufeng Liu;Yiming Shen;Yang Liu;Christopher H. T. Lee

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Abstract

In order to achieve fast convergence of the estimated state and improve the estimation accuracy, a fixed-time adaptive extended state observer (FAESO) is developed for electric motor drives within the active disturbance rejection control (ADRC) framework. First of all, an error adaptive arctangent function is introduced in the design of the FAESO to dynamically improve the lumped disturbance estimation performance of the motor mechanical dynamics. Then, the fixed-time convergence property of the studied FAESO is demonstrated based on the homogeneous theory and Lyapunov function. After the disturbance is estimated quickly and accurately, the error feedback control law is presented to achieve disturbance rejection of the speed loop. The proposed scheme improves the estimation accuracy and convergence rate and enhances the disturbance rejection performance. Finally, the validity and superiority of the proposed FAESO-based enhanced ADRC are verified through three sets of comparative simulation results.

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基于定时自适应扩展状态观测器的电机驱动增强自抗扰控制

为了实现估计状态的快速收敛和提高估计精度，在自抗扰控制（ADRC）框架下，开发了一种固定时间自适应扩展状态观测器（FAESO）。首先，在FAESO的设计中引入误差自适应反正切函数，以动态提高电机机械动力学的集总扰动估计性能。然后，基于齐次理论和Lyapunov函数证明了所研究的FAESO的定时收敛性。在快速准确地估计出扰动后，提出了误差反馈控制律，实现了速度环的抗干扰。该方法提高了估计精度和收敛速度，增强了抗扰性能。最后，通过三组对比仿真结果验证了所提出的基于faeso的增强型自抗扰控制器的有效性和优越性。

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来源期刊

IEEE Transactions on Circuits and Systems II: Express Briefs 工程技术-工程：电子与电气

CiteScore

7.90

自引率

20.50%

发文量

883

审稿时长

3.0 months

期刊介绍： TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: Circuits: Analog, Digital and Mixed Signal Circuits and Systems Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic Circuits and Systems, Power Electronics and Systems Software for Analog-and-Logic Circuits and Systems Control aspects of Circuits and Systems.