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高精度位置跟踪自适应增益调度滑模控制算法

杨艺 秦世引

杨艺, 秦世引. 高精度位置跟踪自适应增益调度滑模控制算法[J]. 北京航空航天大学学报, 2017, 43(1): 7-17. doi: 10.13700/j.bh.1001-5965.2016.0037
引用本文: 杨艺, 秦世引. 高精度位置跟踪自适应增益调度滑模控制算法[J]. 北京航空航天大学学报, 2017, 43(1): 7-17. doi: 10.13700/j.bh.1001-5965.2016.0037
YANG Yi, QIN Shiyin. Sliding mode control algorithm with high-precision position tracking based on adaptive gain schedule[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(1): 7-17. doi: 10.13700/j.bh.1001-5965.2016.0037(in Chinese)
Citation: YANG Yi, QIN Shiyin. Sliding mode control algorithm with high-precision position tracking based on adaptive gain schedule[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(1): 7-17. doi: 10.13700/j.bh.1001-5965.2016.0037(in Chinese)

高精度位置跟踪自适应增益调度滑模控制算法

doi: 10.13700/j.bh.1001-5965.2016.0037
基金项目: 

国家自然科学基金 61273350, U1435220

详细信息
    作者简介:

    杨艺,男,博士研究生,讲师。主要研究方向:非线性控制、智能控制

    通讯作者:

    秦世引,男,博士,教授,博士生导师。主要研究方向:模式识别与人工智能、智能控制理论及其应用。E-mail:qsy@buaa.edu.cn.

  • 中图分类号: V556.5;TP273+.2

Sliding mode control algorithm with high-precision position tracking based on adaptive gain schedule

Funds: 

National Natural Science Foundation of China 61273350, U1435220

More Information
  • 摘要:

    影响位置跟踪精度最重要的因素之一是系统不可避免地存在内外不确定性。由于具备很强的鲁棒性,滑模控制能有效消除系统不确定性的影响,然而也会带来抖振这一顽疾。因此,有效削弱滑模控制系统的抖振是提升系统跟踪精度的关键。为此,本文提出一种误差主导的自适应增益调度算法,该算法利用等效原理准确判断系统滑动模态是否建立,并以此来调度切换函数增益值的增减;同时,为克服因利用低通滤波器获取切换函数等效输出而引起的时间延迟,在增益调度中采用误差主导的增益变化率,确保了增益调度的实时性。理论和仿真实验证明,在滑动模态建立前,该增益调度策略能加快滑模变量的收敛速度;而在滑动模态建立后,该增益调度策略能使增益值在有限时间内趋近于系统不确定的绝对值,降低了系统抖振幅值,从而获取更高的跟踪精度。直流力矩电机伺服系统位置跟踪对比实验结果表明,该增益调度方案有效,能使系统获得更高的跟踪精度。

     

  • 图 1  不同自适应增益调度算法抗扰对比仿真结果

    Figure 1.  Comparative simulation results on resisting disturbance with different adaptive gain schedule algorithms

    图 2  光电跟踪实验平台硬件架构

    Figure 2.  Hardware architecture of photoelectric trackingexperimental platform

    图 3  直流力矩电机位置跟踪伺服控制对比实验结果

    Figure 3.  Comparative experimental results on position trackingservo control of DC torque motor

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  • 收稿日期:  2016-01-11
  • 录用日期:  2016-06-24
  • 网络出版日期:  2017-01-20

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