Bounded control of PMLSM servo system based on fractional order barrier function adaptive super-twisting approach

IF 5.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
XinYu Zhao, LiMei Wang
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引用次数: 0

Abstract

The performance of permanent magnet linear synchronous motor in tracking is influenced by payload uncertainty and unknown disturbances. Traditional constant-gain super-twisting control typically use a high control gain exceeding the total disturbances to maintain the stability of the system. However, these controllers may lead to control input oversaturation when disturbances decrease and the control gain is not appropriately chosen. To address this issue, this paper proposes a new Fractional Order Barrier Function Adaptive Super-Twisting (FOBFAST) control strategy. The advantages of FOBFAST include: (1) mitigation of system chattering through the design of the super-twisting algorithm and the fractional-order integral terminal sliding mode manifold; (2) achieving convergence of system error to a predetermined zero-neighborhood without requiring information about the disturbance upper bound; (3) dynamic adjustment of control gain to a smaller value as tracking error converges to the origin. Furthermore, an improved barrier function is proposed to address the issue of large control amplitudes, limiting the maximum allowable control gain and ensuring system stability. Experimental results demonstrate that the proposed control strategy not only enhances position tracking performance but also exhibits superior robustness.
基于分数阶障碍函数自适应超扭曲方法的 PMLSM 伺服系统有界控制
永磁直线同步电机的跟踪性能受到有效载荷不确定性和未知干扰的影响。传统的恒定增益超扭控制通常使用超过总干扰的高控制增益来维持系统的稳定性。然而,当扰动减小且控制增益选择不当时,这些控制器可能会导致控制输入过饱和。为解决这一问题,本文提出了一种新的分数阶壁垒函数自适应超扭曲(FOBFAST)控制策略。FOBFAST 的优点包括(1) 通过设计超扭曲算法和分数阶积分末端滑模流形,缓解系统颤振;(2) 无需干扰上界信息,即可实现系统误差收敛至预定零邻域;(3) 当跟踪误差收敛至原点时,控制增益可动态调整至较小值。此外,还提出了一个改进的障碍函数,以解决控制幅度过大的问题,限制最大允许控制增益,确保系统稳定性。实验结果表明,所提出的控制策略不仅提高了位置跟踪性能,还表现出卓越的鲁棒性。
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来源期刊
Control Engineering Practice
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.
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