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1. 石家庄铁道大学 电气与电子工程学院, 河北 石家庄 050043
2. 北方工业大学 电气与控制工程学院, 北京 100144
Received:06 September 2023,
Published Online:15 January 2024,
Published:30 December 2023
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Shuang JU, Jing WANG, Hao WANG, et al. Formation Reconfiguration Control of Multiple Mobile Robots with Severe Actuator Faults Based on GWO-WOA[J]. Acta Armamentarii, 2023, 44(S2): 114-125.
Shuang JU, Jing WANG, Hao WANG, et al. Formation Reconfiguration Control of Multiple Mobile Robots with Severe Actuator Faults Based on GWO-WOA[J]. Acta Armamentarii, 2023, 44(S2): 114-125. DOI: 10.12382/bgxb.2023.0880.
针对执行器严重故障下多移动机器人的编队重构控制问题
提出一种基于灰狼优化-鲸鱼优化算法(Grey Wolf Optimizer-Whale Optimization Algorithm
GWO-WOA)的协同编队重构控制策略。设计一种故障观测器以检测多机器人系统中出现的执行器严重故障
并使执行器严重故障的机器人离开编队。利用匈牙利算法分配剩余机器人在期望重构编队中的位置
并用GWO-WOA规划出机器人的运动路径。提出编队重构综合控制策略
包括三部分
分别为基于一致性的编队保持控制、基于势能函数的避碰控制和基于比例积分的跟踪控制器
使多机器人在无碰撞的情形下实现了重构编队。仿真实验结果表明
所提出的编队重构控制策略能够实时监测出故障机器人
并且在形成期望重构编队的同时防止相互碰撞。
A collaborative formation reconfiguration control strategy based on Grey Wolf Optimizer-Whale optimization algorithm (GWO-WOA) is proposed to solve the formation reconfiguration control problem of multi-robot systems with severe actuator failures. A fault observer is designed to detect the severe actuator failures in a multi-robot system
and cause the robots with severe actuator failures to leave the formation. Hungarian algorithm is used to allocate the positions of the remaining robots in the expected reconfiguration formation
and the GWO-WOA is used to plan the robots’ path. A collaborative formation reconfiguration control strategy is proposed
which includes three parts: consensus-based formation maintenance control
potential-energy-function-based collision avoidance control
and proportional-integral based tracking controller
enabling multiple robots to achieve formation reconfiguration without collision. The simulation experimental results show that the proposed formation reconfiguration control strategy can be used to monitor the faulty robots in real time and effectively prevent the robots from colliding with each other while forming a desired reconfiguration formation.
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张聪 , 刘爽 , 姜思远 , 等 . 多作动器协同的特种车辆行车调平控制方法 [J ] . 兵工学报 , 2023 , 44 ( 1 ): 98 - 107 . DOI: 10.12382/bgxb.2022.0928 http://doi.org/10.12382/bgxb.2022.0928 针对国防军事、应急救援等国计民生重要领域中特种车辆行车调平的需求,基于多智能体一致性协同控制相关理论,提出多作动器协同的行车调平方法。将整车垂向模型分解为由作动器驱动的带有相互耦合特性的多智能体悬架节点,建立悬架节点动力学模型。构建基于悬架动行程的趋势引导动态基准和基准误差,摆脱现有调平方法对车身质心铅垂高的依赖,提出基于动态基准误差的多作动器协同行车调平方法。基于汽车系统仿真软件Carsim验证所提方法的有效性。研究结果表明,与整车型调平方法对比,所提方法更好地实现行车调平,调平精度提高了1到2个数量级;研究结果有助于进一步丰富和完善主动悬架控制技术体系,为解决特种车辆行车调平问题提供了全新思路和具体方法。
ZHANG C , LIU S , JIANG S Y , et al. Driving leveling control method with multi-actuator cooperation for special vehicles [J ] . Acta Armamentarii , 2023 , 44 ( 1 ): 98 - 107 . (in Chinese) DOI: 10.12382/bgxb.2022.0928 http://doi.org/10.12382/bgxb.2022.0928 To meet the requirements of special vehicle driving leveling in the important areas of the national economy and people's livelihood, such as national defense and emergency rescue, a driving leveling control method with multi-actuator cooperation is proposed based on the theory of multi-agent cooperative consistency control. Firstly, the vertical model of the whole vehicle is decomposed into coupled multi-agent suspension nodes driven by actuators, and the dynamic model of the suspension node is established. Secondly, a trend-guided dynamic reference and reference error based on the suspension working space is constructed to get rid of the dependence of the existing driving leveling control method on the vertical height of the center of mass of the vehicle body. Furthermore, the driving leveling control method with multi-actuator cooperation based on the dynamic reference error is proposed. Finally, the effectiveness of the proposed method is verified with the vehicle system simulation software CarSim. The results show that compared with the whole vehicle leveling algorithm, the proposed algorithm can better achieve driving leveling, and that the leveling accuracy is raised by 1 to 2 orders of magnitude. This study is helpful to further enrich and improve the technology system of the active suspension control system, and provide a completely new idea and specific methodology for solving the driving leveling problem of special vehicles.
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闵博旭 , 高剑 , 井安言 , 等 . 基于事件触发的水下滑翔机自适应容错俯仰控制 [J ] . 兵工学报 , 2023 , 44 ( 7 ): 2092 - 2100 . DOI: 10.12382/bgxb.2022.0234 http://doi.org/10.12382/bgxb.2022.0234 为确保水下滑翔机俯仰姿态控制对模型不确定性及执行器故障的鲁棒性并降低控制能耗,提出一种基于事件触发的自适应容错俯仰控制算法。在反步控制的基础上,使用动态面技术避免对虚拟控制律求导;利用基于历史输入、输出数据的径向基神经网络对模型不确定项、环境扰动和执行器故障进行逼近与补偿;设计基于相对阈值的事件触发条件,避免控制律的连续更新,从而降低控制能耗。使用Lyapunov稳定性理论证明了闭环系统的所有信号满足半全局一致最终有界。仿真实验结果表明,所设计的控制器在实现鲁棒性的前提下进一步节约了控制能耗和通信资源。
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