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形状记忆合金驱动器的自适应滑模反步控制
引用本文:李晓光,张弼,赵新刚,张道辉.形状记忆合金驱动器的自适应滑模反步控制[J].控制理论与应用,2020,37(1):137-146.
作者姓名:李晓光  张弼  赵新刚  张道辉
作者单位:中国科学院沈阳自动化研究所机器入学国家重点实验室,辽宁沈阳110016;中国科学院机器人与智能制造创新研究院,辽宁沈阳110016;中国科学院大学,北京100049;沈阳工业大学化工装备学院,辽宁沈阳110870;中国科学院沈阳自动化研究所机器入学国家重点实验室,辽宁沈阳110016;中国科学院机器人与智能制造创新研究院,辽宁沈阳110016
基金项目:国家自然科学基金,国家高新技术研究发展计划
摘    要:形状记忆合金(SMA)作为一种智能材料,相对于传统的驱动器具有功率重量比大、驱动电压低、质量轻、干净、无噪音等特性,被广泛应用在各领域.然而,非线性、迟滞、时变等因素影响了形状记忆合金的控制精度,限制了它的应用.为此,本文提出了自适应滑模反步控制方法,用于解决精确控制问题.文中首先搭建了实验装置,建立了形状记忆合金的机理模型;然后,采用最小二乘算法辨识了模型参数;最后,基于机理模型设计了自适应滑模反步控制器.实验结果表明,本文提出的方法具有动态响应快、跟踪精度高和抗干扰能力强的特性.

关 键 词:形状记忆合金  系统建模  参数辨识  自适应滑模反步控制
收稿时间:2018/12/18 0:00:00
修稿时间:2019/4/7 0:00:00

Adaptive backstepping sliding mode controller for a shape memory alloy actuator
LI Xiao-guang,ZHANG Bi,ZHAO Xin-gang and ZHANG Dao-hui.Adaptive backstepping sliding mode controller for a shape memory alloy actuator[J].Control Theory & Applications,2020,37(1):137-146.
Authors:LI Xiao-guang  ZHANG Bi  ZHAO Xin-gang and ZHANG Dao-hui
Affiliation:Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang Institute of Automation, Chinese Academy of Sciences
Abstract:Shape memory alloy (SMA) has the prominent merits, such as high power-to-mass ratio, low driving voltage, light weight, clean and quiet operation, which has been applied in plenty of fields. However, the nonlinearity, hysteresis and time-varying characteristics have affected the control performance. To this end, this paper presents an adaptive backstepping sliding mode control method, and considers the precise control problem of SMA actuators. Firstly, the experimental setup has been established and the physical model of a SMA actuator system has been bulited up. Next the model parameters have been identified by utilizing the nonlinear least-squares algorithm. Then the adaptive backstepping sliding mode controller has been designed based on the obtained mechanism model. Finally, the experimental results demonstrate that the proposed controller ensures fast dynamic response speed, low steady-state tracking error and reliable disturbance rejection ability.
Keywords:shape memory alloy  system modeling  parameter identification  adaptive backstepping sliding mode control
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