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Distributed Fault-Tolerant Control for Networked Robots in the Presence of Recoverable/Unrecoverable Faults and Reactive Behaviors

机译:存在可恢复/不可恢复的故障和反应行为时,网络机器人的分布式容错控制

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The paper presents an architecture for distributed control of multi-robot systems with an integrated fault detection, isolation and recovery strategy. The proposed solution is based on a distributed observer-controller schema where each robot, by communicating only with its direct neighbors, is able to estimate the overall state of the system; such an estimate is then used by the controllers of each robot to achieve global missions as, for example, centroid and formation tracking. The information exchanged among the observers is also used to compute residual vectors that allow each robot to detect failures on anyone of the teammates, even if not in direct communication. The proposed strategy considers both recoverable and unrecoverable actuator faults as well as it properly manages the possible activation of reactive local control behaviors of the robots (e.g., the activation of obstacle avoidance strategy) which generate control inputs different from those required by the global mission control. In particular, when the robots are subject to recoverable faults, those are managed at a local level by computing a proper compensating control action. On the other side, when the robots are subject to unrecoverable faults, the faults are isolated from anyone of the teammates by means of a distributed fault detection and isolation strategy; then, the faulty robots are removed from the team and the mission is rearranged. The proposed strategy is validated via numerical simulations where the system properly identifies and manages the different cases of recoverable and unrecoverable actuator faults, as well as it manages the activation of local reactive control in an integrated case study.
机译:本文提出了一种具有集成故障检测,隔离和恢复策略的多机器人系统分布式控制架构。所提出的解决方案基于分布式观察者-控制器方案,其中每个机器人仅通过与其直接邻居进行通信就能够估计系统的总体状态;然后,每个机器人的控制器使用这种估计来实现全局任务,例如质心和地层跟踪。观察者之间交换的信息还用于计算残差矢量,这些残差矢量可使每个机器人即使在没有直接通信的情况下也可以检测到任何队友的故障。提出的策略同时考虑了可恢复和不可恢复的执行器故障,并适当地管理了机器人的反应性局部控制行为的可能激活(例如,避障策略的激活),这些行为产生的控制输入不同于全局任务控制所需的控制输入。尤其是,当机器人遭受可恢复的故障时,可以通过计算适当的补偿控制措施在本地进行管理。另一方面,当机器人遭受不可恢复的故障时,可通过分布式故障检测和隔离策略将故障与任何队友隔离开来。然后,将有故障的机器人从团队中撤出,并重新安排任务。通过数值模拟验证了所提出的策略,该系统可以正确识别和管理可恢复和不可恢复的执行器故障的不同情况,并在集成的案例研究中管理本地无功控制的激活。

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