W-Leg Jumping Robot: Mechanical Design, Dynamical Analysis and Simulation of Jumping Dual Wheel-Leg Hybrid Robot

IF 2.6 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Ahmet Burak Tatar
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Abstract

This study primarily focuses on design, mathematically model and simulate a novel two wheel-legged hybrid robot called W-Leg Jumping robot, which has a unique ability to overcome step-like obstacles efficiently. In general, in transformable wheel-leg robot studies, the leg and wheel structure perform their movements in an interdependent manner. However, in this study, it is aimed to design a robot in which the leg and wheel structure can move independently of each other and to develop a robot that can easily overcome obstacles on flat surfaces with the wheel mode and with the leg mode. The robot can fold its legs hidden within the wheels and deploy its two degree of freedom (DoF) legs when it detects step-like obstacles. This mechanism allows the robot to overcome an obstacle with a height of twice the radius of the robot's open/close mechanism of the legs, along with the two-dimensional kinematic and dynamic analyzes of the legs, are presented in detail within the scope of this study proportional-integral-derivative (PID) controller is designed to control the joint angles of the legs. The reference angle values to be followed according to the height of the obstacle are determined using artificial neural network (ANN). Additionally, motion simulations of the robot are conducted for four different obstacle heights (20, 30, 40, and 50 cm). As a result of the PID controller, when exceeding the highest obstacle of 50 cm, the average absolute joint angular tracking error is max. 1.8829°, average tracking error max. 0.265 s and max.

Abstract Image

双腿跳跃机器人:跳跃式双轮腿混合机器人的机械设计、动力学分析与仿真
本研究主要侧重于设计、数学建模和仿真一种新型双轮腿混合机器人,即 "W-Leg Jumping 机器人",它具有高效克服台阶状障碍物的独特能力。一般来说,在可变换轮腿机器人的研究中,轮腿结构和轮子结构是以相互依存的方式完成运动的。但本研究的目标是设计一种腿部和轮子结构可以相互独立运动的机器人,并开发一种在轮子模式和腿部模式下都能在平坦表面上轻松克服障碍的机器人。机器人可以将隐藏在轮子中的腿折叠起来,并在检测到台阶状障碍物时展开双自由度(DoF)腿。在本研究范围内,将详细介绍机器人腿的二维运动学和动力学分析,并设计了比例-积分-派生(PID)控制器来控制腿的关节角度。根据障碍物的高度,使用人工神经网络(ANN)确定需要遵循的参考角度值。此外,还针对四种不同的障碍物高度(20、30、40 和 50 厘米)对机器人进行了运动模拟。在 PID 控制器的作用下,当超过 50 厘米的最高障碍物时,平均关节角度跟踪绝对误差最大为 1.8829°,平均关节角度跟踪误差最小为 1.8829°。1.8829°,平均跟踪误差最大为 0.265 s,平均跟踪误差最大为 1.8829°。0.265 秒和最大
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来源期刊
Arabian Journal for Science and Engineering
Arabian Journal for Science and Engineering MULTIDISCIPLINARY SCIENCES-
CiteScore
5.70
自引率
3.40%
发文量
993
期刊介绍: King Fahd University of Petroleum & Minerals (KFUPM) partnered with Springer to publish the Arabian Journal for Science and Engineering (AJSE). AJSE, which has been published by KFUPM since 1975, is a recognized national, regional and international journal that provides a great opportunity for the dissemination of research advances from the Kingdom of Saudi Arabia, MENA and the world.
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