Decoupled Finite-Time Approximation Auxiliary System-Based Three-Dimensional Integrated Guidance and Control

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-08-09 DOI:10.1109/TASE.2024.3438552
Yaohua Shen;Mou Chen;Mihai Lungu;Hongzhen Guo
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Abstract

In this paper, to develop a backstepping-based finite-time control (BFTC) method for the three-dimensional integrated guidance and control (IGC) system with target maneuvers and disturbances, a novel decoupled finite-time approximation auxiliary system (DFTAAS) is proposed together with a finite-time disturbance observer (FTDO). To accurately estimate the target maneuvers and the disturbances, the FTDO is designed. To approximate the virtual control law derivative and avoid the explosion of complexity problem, the DFTAAS is proposed. To solve the singularity issue and guarantee the boundedness of the virtual control law derivative, the piecewise functions are designed to derive the DFTAAS and the virtual control. Besides, to make the controller parameters independent of the norms associated to the control matrices, the control matrices are introduced into the DFTAAS so that the conservatism of the controller parameters is restrained. Furthermore, the finite-time stability properties of the system state stabilization and the disturbance estimation are integrated into the Lyapunov stability to guarantee the finite-time stability of the whole closed-loop IGC system. Finally, the hardware-in-the-loop experiment is implemented to verify the effectiveness of the proposed method. Note to Practitioners—The aim of this paper is to design a BFTC scheme for the three-dimensional IGC system with target maneuvers and disturbances. In the practical IGC application, to solve the explosion of complexity problem, the finite-time dynamic surface control is designed to implement the BFTC. Nevertheless, the boundedness of the virtual control law derivative, which is essential for the system stability, can not be guaranteed due to the singularity. Besides, the parameter conservatism is inevitable due to the control matrices. In addition, the finite-time stability properties of the system state stabilization and the disturbance estimation, which interact and influence each other in the control process, is rarely integrated in practical. In view of the above actual issues, the piecewise function is designed to develop the DFTAAS and the guidance law to solve the explosion of complexity problem and ensure the boundedness of the virtual control law derivative. The control matrices are introduced into the DFTAAS to solve the problem of parameter conservatism. The finite-time stability properties of the system state stabilization and the disturbance estimation are integrated into the Lyapunov stability, which is more in line with the practical needs to sufficiently consider the coupling of them.
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基于解耦有限时间逼近辅助系统的三维综合制导与控制
针对具有目标机动和扰动的三维综合制导控制(IGC)系统,提出了一种新的解耦有限时间逼近辅助系统(DFTAAS)和有限时间扰动观测器(FTDO),建立了一种基于反步法的有限时间控制方法。为了准确估计目标机动和干扰,设计了FTDO。为了逼近虚拟控制律导数,避免复杂度爆炸问题,提出了DFTAAS。为了解决虚拟控制律导数的奇异性问题并保证其有界性,设计了分段函数来推导DFTAAS和虚拟控制。此外,为了使控制器参数独立于与控制矩阵相关的范数,在DFTAAS中引入了控制矩阵,从而抑制了控制器参数的保守性。在此基础上,将系统状态稳定的有限时间稳定性和扰动估计的有限时间稳定性集成到Lyapunov稳定性中,保证了整个闭环IGC系统的有限时间稳定性。最后,通过硬件在环实验验证了该方法的有效性。从业人员注意:本文的目的是为具有目标机动和干扰的三维IGC系统设计一种BFTC方案。在实际IGC应用中,为了解决复杂性爆炸问题,设计了有限时间动态曲面控制来实现BFTC。然而,由于奇异性的存在,虚拟控制律导数的有界性无法得到保证,而这对系统的稳定性至关重要。此外,由于控制矩阵的存在,参数的保守性是不可避免的。此外,在控制过程中,系统状态镇定和扰动估计的有限时间稳定性相互作用、相互影响,在实际应用中很少得到综合考虑。针对上述实际问题,设计分段函数开发DFTAAS和制导律,解决复杂性爆炸问题,保证虚拟控制律导数的有界性。在DFTAAS中引入控制矩阵来解决参数的保守性问题。将系统状态稳定和扰动估计的有限时间稳定性特性集成到李雅普诺夫稳定性中,充分考虑了两者之间的耦合,更符合实际需要。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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