Collision Avoidance Regulation-Compliant Orientation Guidance and Maneuvering Control Approach for Snake Robots
Snake robots under environments with avoidance constraints hardly track routes such that traditional guidance approaches become infeasible. Motivated by it, this work presents a line-of-sight-guidance virtual-snake-robot integrated scheme for snake robots to track paths and obey collision avoidance...
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| Veröffentlicht in: | IEEE transactions on industrial electronics (1982) Jg. 71; H. 9; S. 10955 - 10965 |
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| Sprache: | Englisch |
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New York
IEEE
01.09.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0278-0046, 1557-9948 |
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| Abstract | Snake robots under environments with avoidance constraints hardly track routes such that traditional guidance approaches become infeasible. Motivated by it, this work presents a line-of-sight-guidance virtual-snake-robot integrated scheme for snake robots to track paths and obey collision avoidance regulations. Main contributions include the avoidance regulation-compliant kinematics guidance law and finite-time-converged adaptive dynamic controller. In kinematics, a virtual leader is used to optimize nondifferentiable inflection into smooth to provide a jitter-free direction. Considering avoidance constraints, corresponding guidance strategies are innovatively designed for head-on, overtaking, and crossing scenarios to ensure the safety and autonomy of path tracking. In terms of dynamics, maneuvering control is executed by a finite-time disturbance observer-based event-triggered terminal sliding-mode controller. The unmeasured errors and uncertainties are accurately compensated, and input event-triggering rules can reduce the actuator burden. Finally, the stability analysis proves system errors' finite-time convergence, and result validations confirm the performance superiority and feasibility of this method. |
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| AbstractList | Snake robots under environments with avoidance constraints hardly track routes such that traditional guidance approaches become infeasible. Motivated by it, this work presents a line-of-sight-guidance virtual-snake-robot integrated scheme for snake robots to track paths and obey collision avoidance regulations. Main contributions include the avoidance regulation-compliant kinematics guidance law and finite-time-converged adaptive dynamic controller. In kinematics, a virtual leader is used to optimize nondifferentiable inflection into smooth to provide a jitter-free direction. Considering avoidance constraints, corresponding guidance strategies are innovatively designed for head-on, overtaking, and crossing scenarios to ensure the safety and autonomy of path tracking. In terms of dynamics, maneuvering control is executed by a finite-time disturbance observer-based event-triggered terminal sliding-mode controller. The unmeasured errors and uncertainties are accurately compensated, and input event-triggering rules can reduce the actuator burden. Finally, the stability analysis proves system errors' finite-time convergence, and result validations confirm the performance superiority and feasibility of this method. |
| Author | Li, Dongfang Xiu, Yang Law, Rob Wu, Edmond Q. Deng, Hongbin Zhu, Limin |
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| SubjectTerms | Actuators Collision avoidance Controllers Disturbance observers Errors Guidance (motion) guidance algorithm Kinematics Maneuvers Marine vehicles path following Path tracking Regulation Robot control Robot dynamics Robots Sliding mode control snake robot Snake robots Stability analysis Turning Vehicle dynamics |
| Title | Collision Avoidance Regulation-Compliant Orientation Guidance and Maneuvering Control Approach for Snake Robots |
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