Fixed-time integral terminal sliding mode control with an adaptive RBF neural network for PMSM speed regulation

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-01-13 DOI:10.1016/j.conengprac.2024.106236

Xiufeng Liu , Yongting Deng , Jing Liu , Haiyang Cao , Chenxia Xu , Yang Liu

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引用次数: 0

Abstract

This paper focuses on the speed regulation of permanent magnet synchronous motor (PMSM) drive systems in the presence of external disturbances and mode uncertainties. To augment the performance of PMSM speed control, particularly emphasizing response speed and robustness, this paper presents a novel control strategy incorporating fixed-time integral terminal sliding mode control (FITSMC) with an adaptive radial basis function (RBF) neural network (ARNN). Firstly, a FITSMC based fixed-time control theory is proposed to enhance the response speed and robustness of PMSM speed control system. Secondly, an ARNN is developed to online approximate the nonlinear unknown total disturbance, including external load torque and mode uncertainties, and then compensate the approximated total disturbance to the control law of the FITSMC, further enhancing FITSMC’s robustness and effectively attenuating sliding mode chattering. Then, using the Lyapunov method, the stability and the property of fixed-time convergence of the proposed scheme are demonstrated. Additionally, performance analysis and parameter tuning guidelines are provided through a frequency sweep method. Finally, the feasibility and effectiveness of the proposed approach are validated through experiments conducted on a PMSM experimental platform.

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.