Error-Based Virtual Compound Axis With Backstepping Control for Electro-Optical Tracking System

IF 2.3 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS IET Control Theory and Applications Pub Date : 2025-02-21 DOI:10.1049/cth2.70012
Zhijun Li, Jiachen Li, Jiuqiang Deng, Yao Mao
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Abstract

In this paper, an innovative error-based virtual composite-axis disturbance rejection backstepping control strategy is proposed for electro-optical tracking systems. Tracking accuracy cannot be improved by conventional composite axis structures where target position, velocity and acceleration are unknown and immeasurable. Our proposed method, however, operates without the need for target trajectory input signals or additional sensors. It solely relies on error information to adeptly simulate the compound axis system's functionality. Notably, its error suppression characteristics amalgamate dual-axis suppression features, substantially augmenting tracking performance. Moreover, to further optimize trajectory tracking and counteract the disturbances and uncertainties within the virtual composite axis, a backstepping control strategy is integrated with disturbance rejection. Remarkably, this approach achieves a 31.89% leap in tracking accuracy and a 73.87% boost in disturbance rejection performance. The effectiveness and superiority of the method have been thoroughly corroborated via simulations and experiments.

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基于误差的虚拟复合轴反步控制光电跟踪系统
针对光电跟踪系统,提出一种基于误差的虚拟复合轴抗扰反步控制策略。在目标位置、速度和加速度未知且无法测量的情况下,传统的复合轴结构无法提高跟踪精度。然而,我们提出的方法不需要目标轨迹输入信号或额外的传感器。它仅仅依靠误差信息来熟练地模拟复合轴系统的功能。值得注意的是,其误差抑制特性融合了双轴抑制特性,大大提高了跟踪性能。此外,为了进一步优化轨迹跟踪,抵消虚拟复合轴内的干扰和不确定性,将反步控制策略与干扰抑制相结合。值得注意的是,该方法实现了跟踪精度31.89%的飞跃和干扰抑制性能73.87%的提升。仿真和实验充分证明了该方法的有效性和优越性。
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来源期刊
IET Control Theory and Applications
IET Control Theory and Applications 工程技术-工程:电子与电气
CiteScore
5.70
自引率
7.70%
发文量
167
审稿时长
5.1 months
期刊介绍: IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods. Among the topics of interest are system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation. The scope encompasses technological, economic, physiological (biomedical) and other systems, including man-machine interfaces. Most of the papers published deal with original work from industrial and government laboratories and universities, but subject reviews and tutorial expositions of current methods are welcomed. Correspondence discussing published papers is also welcomed. Applications papers need not necessarily involve new theory. Papers which describe new realisations of established methods, or control techniques applied in a novel situation, or practical studies which compare various designs, would be of interest. Of particular value are theoretical papers which discuss the applicability of new work or applications which engender new theoretical applications.
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