中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2017, Vol. 36 ›› Issue (7): 117-122.DOI: 10.3969/j.issn.1674-0696.2017.07.20

• Vehicle &Electromechanical Engineering • Previous Articles    

Control Strategy and Simulation of Bionic Elbow Joint Compoundly Driven by SMA-Motor

LUO Tianhong, GUO Yuan, LIANG Shuang, LI Huilan, LI Qiaoyi   

  1. (School of Electrochemical & Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, P. R. China)
  • Received:2016-04-22 Revised:2016-07-12 Online:2017-07-31 Published:2017-07-31

SMA-电机复合驱动仿生肘关节的控制策略与仿真

罗天洪,郭园,梁爽,李会兰,李乔易   

  1. (重庆交通大学 机电与车辆工程学院,重庆 400074)
  • 作者简介:罗天洪(1975—),男,四川乐至人,教授,博士,主要从事机器人、机电液一体化等方面研究。
  • 基金资助:
    国家自然科学基金资助项目(51375519);重庆市研究生科研创新项目(CYS16190)

Abstract: For the bionic elbow joint compoundly driven by SMA-motor with the characteristics of nonlinear, time varying and temperature hysteretic, the fuzzy control algorithm based on double inputs and four outputs was proposed and the fuzzy PID adaptive control model was established. The motion states of the composite driven bionic elbow were solved in the step response and the theoretical trajectory, and then the position and the angular velocity tracking graphs of the rotating and pitching motion of the elbow joint were obtained. Experimental results show that the design of dual-input and quadri-output adaptive fuzzy PID control has the characteristics of small overshoot, high system robustness and fast response speed, which can achieve the accurate position control of bionic elbow compoundly driven by SMA-motor.

Key words: mechanical and electrical engineering, compound driving, bionic elbow joint, fuzzy PID adaptive control

摘要: 针对SMA-电机复合驱动仿生肘关节控制非 线性、时变、温度滞后等特点,提出了一种双输入-四输出的模糊控制算法,建立模糊PID自适应控制模型,求解复合驱动仿生肘关节在阶跃响应及理论轨迹下的动作状态,得到了仿生肘关节 旋转和俯仰运动的位姿、角速度跟踪图谱。实验证明:设计的双输入-四输出的模糊PID自适应控制算法具有超调量小、系统鲁棒性高、响应速度快的特点,可以实现SMA-电机复合驱动仿生肘 关节的精准位姿控制。

关键词: 机电工程, 复合驱动, 仿生肘关节, 模糊PID自适应控制

CLC Number: