Presentation Details
Contour Error Control of X-Y Motion Platform Based on Robust Predictive
ID：419
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Updated Time：2021-06-29 18:27:02
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Oral Presentation
Abstract
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.
Keywords
contour error;system delay;parameter mismatch;prediction period;X-Y motion platform
Speaker
Du Quankai
Student HUAQIAO UniversityQuankai 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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Important Date
-
Conference Date
Jul 01
2021
toJul 04
2021
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Jul 03 2021
Contribution Submission Deadline
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Nov 03 2021
Registration deadline
Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
Southwest Jiaotong University, China
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