Adaptive-Critic-Based Distributed Event-Triggered Augmented Differential Game for Cooperative Guidance Systems Against Maneuvering Target

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jingliang Sun;Mengmeng Wang;Zhenlin Zhou;Jianxin Zhong;Junzhi Li;Teng Long
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引用次数: 0

Abstract

This paper investigates the cooperative interception guidance issue with the maneuvering target, which can be described as a distributed augmented differential game under direct topology by decomposing the nonlinear uncertain term related to the maneuvering target into matched term and unmatched term. An adaptive event-triggered distributed augmented differential game method is proposed to obtain the solution of a coupled distributed differential game online. Then, a guidance performance adaptive critic network is employed to calculate the event-triggered augmented cost function. Moreover, the adaptive triggering condition is designed, which decomposes the original continuous system into a continuous/discrete hybrid one consisting of flow dynamics and jump dynamics. Certainly, all error signals have been theoretically ensured to be within an adjustable bounded region while excluding infamous Zeno behavior. Finally, the advantages, practicalities, and potential of the proposed method are exhibited by numerical simulations and experiments. Note to Practitioners—Cooperative guidance, which can effectively increase the interception probability of the target, receives increasing attention. Considering the effects of maneuverability of the target generating great disturbance and uncertainty, the differential game cooperative guidance technique is vital for improving the guidance performance. Besides, cooperative methods based on traditional time-triggered mechanisms need to exchange information between missiles and to update guidance law periodically, which brings great challenges in practical engineering with limited communication and computing resources. The proposed method can effectively achieve cooperative interception for maneuvering targets and has great potential for practical engineering applications.
针对机动目标的协同制导系统自适应临界分布式事件触发增广微分对策
本文通过将机动目标相关的非线性不确定项分解为匹配项和不匹配项,研究了机动目标协同拦截制导问题,将其描述为直接拓扑下的分布式增广微分对策。提出了一种自适应事件触发分布式增广微分对策方法,用于在线求解耦合分布式微分对策。然后,利用制导性能自适应评价网络计算事件触发的增广代价函数。设计了自适应触发条件,将原连续系统分解为由流动动力学和跳变动力学组成的连续/离散混合系统。当然,理论上所有的错误信号都被保证在一个可调节的有界区域内,同时排除了臭名昭著的芝诺行为。最后,通过数值模拟和实验验证了该方法的优越性、实用性和发展潜力。从业人员注意:合作制导能够有效提高目标拦截概率,越来越受到重视。考虑到目标机动性会产生较大的扰动和不确定性,差分对策协同制导技术对于提高制导性能至关重要。此外,基于传统时间触发机制的协同方法需要导弹间的信息交换和制导律的周期性更新,这在通信和计算资源有限的实际工程中带来了很大的挑战。该方法能有效实现机动目标的协同拦截,具有较大的工程应用潜力。
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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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