|本期目录/Table of Contents|

[1]曹鹏彬,赵建宇,汤旭青.履带轮椅机器人爬楼姿态控制的研究[J].武汉工程大学学报,2016,38(05):484-489.[doi:10. 3969/j. issn. 1674?2869. 2016. 05. 014]
 CAO Pengbin,ZHAO Jianyu,TANG Xuqing.Stair-Climbing Attitude Control of Tracked Wheelchair Robot[J].Journal of Wuhan Institute of Technology,2016,38(05):484-489.[doi:10. 3969/j. issn. 1674?2869. 2016. 05. 014]
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履带轮椅机器人爬楼姿态控制的研究(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
38
期数:
2016年05期
页码:
484-489
栏目:
机电工程
出版日期:
2016-11-02

文章信息/Info

Title:
Stair-Climbing Attitude Control of Tracked Wheelchair Robot
作者:
曹鹏彬 赵建宇 汤旭青
武汉工程大学机电工程学院,湖北 武汉 430205
Author(s):
CAO Pengbin ZHAO Jianyu TANG Xuqing
School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China
关键词:
履带轮椅机器人爬楼姿态控制模糊PID
Keywords:
tracked wheelchair robot stair-climbing attitude control fuzzy-PID
分类号:
TP242.6
DOI:
10. 3969/j. issn. 1674?2869. 2016. 05. 014
文献标志码:
A
摘要:
提出一种采用履带结构的轮椅机器人方案,并对其爬楼姿态的控制方法进行研究. 利用6轴运动传感器获取机体爬楼时的姿态数据,超声波传感器采集机体两侧的距离数据,根据轮椅机器人自身特点与实际经验,使用模糊PID(Proportion Integration Differentiation)算法设计出模糊自整定PID控制器. 通过在MATLAB/SIMULINK下仿真,该控制器能将方向角稳定在预定角度,建立稳态时间为0.17 s,最大超调量不超过7.2%. 实际试验中,方向角稳定在预设值±0.2°内,具有很好的控制效果,实现了爬楼过程中的自动控制.
Abstract:
A structural scheme of tracked robot was proposed and the control method of the stair-climbing attitude was studied. A 6-axis motion sensor was employed to acquire the attitude data of the robot in the process of climbing stairs. In addition, supersonic sensors were installed to acquire the distance data on both sides of the robot body. According to the robot characteristics and practical experience, a kind of fuzzy self-tuning proportion integration differentiation (PID)controller was devised using fuzzy PID algorithm. A simulation by the tool of MATLAB/SIMULINK was performed, in which the controller could be stabilized at a predetermined angle in 0.17 s and the maximum overshoot was less than 7.2%. The direction angle was keeping with in ±0.2° of the preset value and the automatic control of the tracked wheel chair robot climbing stairs was realized with good effect in the practical experiments

参考文献/References:

[1] CHARLES J M. Robotic lifesaver-vecna’s humanoid robot can walk, run, lift heavy objects, and climb stairs on its track-powered, jointed legs[J]. Design news, 2006, 61(16): 46-48, 50. [2] DONGKYU C, JONGKYUN O, JONGWON K. Analysis method of climbing stairs with the rocker-bogie mechanism[J]. Journal of mechanical science and technology, 2013, 27(9): 2783-2788. [3] 孟晓东. 轮履组合式电动爬楼轮椅的研究[D]. 长春: 长春理工大学, 2013. [4] 莫海军, 朱文坚. 履带式移动机器人越障稳定性分析[J]. 机械科学与技术, 2007, 26(1): 65-67. MO H J, ZHU W J. Analysis of the stability of a crawler-type mobile robot crossing over obstacles[J]. Mechanical science and technology for aerospace engineering, 2007, 26(1): 65-67. [5] 王茂永. 下肢康复机器人感知系统设计与研究[D]. 成都: 电子科技大学, 2014. [6] 廖煜雷, 万磊, 庄佳园. 喷水推进型无人水面艇的嵌入式运动控制系统研究[J]. 高技术通讯, 2012, 22(4): 416-422. LIAO Y L, WAN L, ZHUANG J Y. An embedded motion control system for water-jet-propelled unmanned surface vehicles[J]. Chinese high technology letters, 2012, 22(4): 416-422. [7] 刘渊, 周旺平. 基于DSP的斜轴式望远镜机架控制系统设计[J]. 计算机测量与控制, 2014, 22(11): 3572-3575. LIU Y, ZHOU W P. Design of oblique axis telescope mount system controller based on DSP[J]. Computer measurement & control, 2014, 22(11): 3572-3575, 3580. [8] 尤洋, 文小玲, 邹艳华. 一种无线温度监控系统的设计与实现[J]. 武汉工程大学学报, 2015, 37(1): 30-34. YOU Y, WEN X L, ZHOU Y H. Design of wireless temperature monitoring system based on zigbee[J]. Journal of Wuhan institute of technology, 2015, 37(1): 30-34. [9] 储岳中, 陶永华. 基于MATLAB的自适应模糊PID控制系统计算机仿真[J]. 安徽工业大学学报(自然科学版), 2004, 21(1): 49-52. CHU Y Z, TAO Y H. Computer simulation of the self-adaptive fuzzy PID control system based on matlab[J]. Journal of Anhui university of technology(Natural Science), 2004, 21(1): 49-52. [10] 侯喜茹, 柳贡慧, 梁景伟. 基于Matlab/Simulink模糊工具箱的井眼轨迹模糊控制仿真[J]. 石油学报, 2006, 27(3): 108-111. HOU X R, LIU G H, LIANG J W. Fuzzy control simulation of wellbore trajectory based on matlab/simulink fuzzy tool box[J]. Acta petrolei sinica, 2006, 27(3): 108-111. [11] 杨世勇, 徐国林. 模糊控制与PID控制的对比及其复合控制[J]. 自动化技术与应用, 2011, 30(11): 21-25. YANG S Y, XU G L. Comparison and composite of fuzzy control and PID control[J]. Techniques of automation and applications, 2011, 30(11): 21-25.

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更新日期/Last Update: 2016-10-31