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Priority Task Approach for USVs’ Path Following Missions with Obstacle Avoidance and Speed Regulation

机译:优先任务方法,用于无障碍飞行和速度调节的无人驾驶飞机跟随任务的路径

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Marine robotics is becoming increasingly more effective and useful for many applications in the real world. This process of technological transfer strongly needs the actual achievement of full autonomy and high reliability of the robotics systems. Hence, many works conducted by the marine robotics community are aimed to further enhance control techniques to end up with complex autonomous systems endowed with high robustness and reliability. The present paper faces these problems, adapting and applying to unmanned marine vehicles a technique that usually is exploited for robotic manipulators. In particular, the problem of path following is addressed and a navigation guidance and control system based on a priority task approach is developed. Such a control paradigm allows to separate the different tasks required to the robot and to combine them into an overall ‘emerging behaviour'. Moreover, one of its great advantages is the high system flexibility: additional control tasks can be included later, leaving the architecture unchanged. The case of three different control tasks is addressed in the present work, namely path following, obstacle avoidance and speed regulation. The approach has been validated through extensive simulative campaigns; experimental tests are planned and will be conducted in the very next future.
机译:对于现实世界中的许多应用,海洋机器人技术正变得越来越有效和有用。这种技术转让过程非常需要机器人系统的完全自治和高度可靠性的实际实现。因此,由海洋机器人技术界进行的许多工作旨在进一步增强控制技术,以最终形成具有高鲁棒性和可靠性的复杂自主系统。本论文面对这些问题,将一种通常用于机器人操纵器的技术改编并应用于无人船用车辆。特别地,解决了路径跟随的问题,并且开发了基于优先任务方法的导航制导和控制系统。这样的控制范式可以将机器人所需的不同任务分开,并将它们组合成整体的“新兴行为”。此外,它的一大优点是系统灵活性高:以后可以包含其他控制任务,而使体系结构保持不变。在当前工作中解决了三种不同控制任务的情况,即路径跟随,避障和速度调节。该方法已通过广泛的模拟活动得到验证;实验测试已计划在未来的将来进行。

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