工作区
控制理论(社会学)
补偿(心理学)
模拟
计算机科学
机制(生物学)
配重
机器人
运动学
工程类
机械工程
物理
人工智能
心理学
控制(管理)
经典力学
量子力学
精神分析
作者
Muhannad Alkaddour,Mohammad A. Jaradat,Sara Tellab,Nidal A. Sherif,Muhammad Alvi,Lotfi Romdhane,Khaled S. Hatamleh
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:11: 111178-111199
被引量:3
标识
DOI:10.1109/access.2023.3321859
摘要
In this research, a novel design of a lightweight aerial manipulator system is proposed for solar panel cleaning with active (CoG) compensation mechanism. Recently, separate solar panel arrays or units are commonly installed on residential, commercial rooftops or roads, making it inconvenient for land robots to perform the cleaning tasks. The proposed light weight solar panel cleaning aerial manipulator with the gravity compensation mechanism is intended to be attached beneath a drone to increase its stability during operation. The manipulator workspace given the proposed system is analyzed under CoG shift constraints. The kinematics and dynamics of the aerial manipulator coupled with the compensation mechanism are presented, and a path-planning scheme for solar panel cleaning is detailed. A dynamic control law based on pitch and counterweight position reduced-order dynamics is derived, and its equivalence to the static compensation law is shown. An experimental test bench is used to simulate the aerial manipulation during operations to validate the performance of the proposed manipulator and its stability. Its tilting pitch angle is collected and examined during operation. The results show that the system is less susceptible to unwanted tilting. A tilt angle reduction of 2 degrees was observed between an uncompensated and compensated system, with a difference in shift of CoG location of 1.72% of the total system length. The CoG location shift is also simulated without the presence of a slider mechanism and shows a difference of 24.5% with the compensated system. The compensation mechanism significantly reduces the tilt angle, avoiding potential instability, and consequently decreases the power required by the carrying drone.
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