Contour Error Control of X-Y Motion Platform Based on Robust Predictive
编号:419 访问权限:公开 更新:2021-06-29 18:27:02 浏览:1207次 口头报告

报告开始:暂无开始时间(Asia/Shanghai)

报告时间:暂无持续时间

所在会场:[暂无会议] [暂无会议段]

摘要
The purpose of contour control is to reduce contour error, but the contour performance is limited by the system delay. Although the conventional position predictive control (C-PPC) can solve the above problem, it relies on the system parameter and ignores the coupling delay. In other words, C-PPC uses an inaccurate parameter and prediction period. To optimize the contour performance for the X-Y motion platform with parameter mismatch and system delay, a robust position predictive control (R-PPC) is proposed. Firstly, prediction error sensitivity in C-PPC is analyzed respectively when the parameter is mismatched and the prediction period is inaccurate. Then a simplified two-step predictive model is developed, which does not depend on the specific motor model and parameter. Based on this model, the robustness coefficients are introduced into the prediction model to establish R-PPC. Theoretical analysis proves that R-PPC can reduce the prediction error sensitivity by adjusting the robustness coefficients, so as to obtain more accurate position information. The simulations show that, compared with the PID controller and C-PPC, the proposed R-PPC can effectively reduce the contour error in the X-Y motion platform by improving the prediction model robustness. It means that the prediction error caused by the mismatched parameter in R-PPC is the smallest.
关键词
contour error;system delay;parameter mismatch;prediction period;X-Y motion platform
报告人
Du Quankai
Student HUAQIAO University

Quankai Du received the B.S. degree in College of Information Science and Engineering, Huaqiao University, Fujian, China, in 2019. He is currently working toward the M.S. degree in College of Information Science and Engineering, Huaqiao University, Fujian,China. His research interests include precision motion control and high-performance multi-axis contour control. 

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重要日期
  • 会议日期

    07月01日

    2021

    07月04日

    2021

  • 07月03日 2021

    报告提交截止日期

  • 11月03日 2021

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
协办单位
University of Sydney, Australia
Southwest Jiaotong University, China
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