Dynamic Analysis and Path Planning of a Turtle-Inspired Amphibious Spherical Robot.

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Micromachines Pub Date : 2022-12-01 DOI:10.3390/mi13122130
Liang Zheng, You Tang, Shuxiang Guo, Yuke Ma, Lijin Deng
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引用次数: 4

Abstract

A dynamic path-planning algorithm based on a general constrained optimization problem (GCOP) model and a sequential quadratic programming (SQP) method with sensor input is proposed in this paper. In an unknown underwater space, the turtle-inspired amphibious spherical robot (ASR) can realise the path-planning control movement and achieve collision avoidance. Due to the special underwater environments, thrusters and diamond parallel legs (DPLs) are installed in the lower hemisphere to realise accurate motion control. A propulsion model for a novel water-jet thruster based on experimental analysis and a modified Denavit-Hartenberg (MDH) algorithm are developed for multiple degrees of freedom (MDOF) to realize high-precision and high-speed motion control. Simulations and experiments verify that the effectiveness of the GCOP and SQP algorithms can realize reasonable path planning and make it possible to improve the flexibility of underwater movement with a small estimation error.

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仿龟型两栖球形机器人的动力学分析与路径规划。
提出了一种基于一般约束优化问题(GCOP)模型和具有传感器输入的顺序二次规划(SQP)方法的动态路径规划算法。在未知的水下空间中,以乌龟为灵感的两栖球形机器人(ASR)可以实现路径规划控制运动并实现避碰。由于特殊的水下环境,在下半球安装了推进器和钻石平行腿(dpl)来实现精确的运动控制。在实验分析的基础上,建立了一种新型水射流推进器的推进模型,提出了一种改进的多自由度Denavit-Hartenberg (MDH)算法,实现了多自由度水射流推进器的高精度、高速运动控制。仿真和实验验证了GCOP和SQP算法的有效性,可以在较小的估计误差下实现合理的路径规划,提高水下运动的灵活性。
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来源期刊
Micromachines
Micromachines NANOSCIENCE & NANOTECHNOLOGY-INSTRUMENTS & INSTRUMENTATION
CiteScore
5.20
自引率
14.70%
发文量
1862
审稿时长
16.31 days
期刊介绍: Micromachines (ISSN 2072-666X) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to micro-scaled machines and micromachinery. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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