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Original Article | Open Access

Positioning-control Based on Trapezoidal Velocity Curve for High-precision Basis Weight Control Valve

Bo Wang1,2Wei Tang1,2( )JiXian Dong1,2Feng Wang3
College of Bioresources Chemical & Materials Engineering of Shaanxi University of Science & Technology, Xi'an, Shaanxi Province, 710021, China
Shaanxi Research Institute of Agricultural Products Processing Technology, Xi'an, Shaanxi Province, 710021, China
Zhejiang Linuo Flow Control Technology Co., Ltd., Rui'an, Zhejiang Province, 325200, China
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Abstract

Traditionally, basis weight control valve is driven by a constant frequency pulse signal. Therefore, it is difficult for the valve to match the control precision of basis weight. Dynamic simulation research using Matlab/Simulink indicates that there is much more overshoot and fluctuating during the valve-positioning process. In order to improve the valve-positioning precision, the control method of trapezoidal velocity curve was studied. The simulation result showed that the positioning steady-state error was less than 0.0056%, whereas the peak error was less than 0.016% by using trapezoidal velocity curve at 10 positioning steps. A valve-positioning precision experimental device for the stepper motor of basis weight control valve was developed. The experiment results showed that the error ratio of 1/10000 positioning steps was 4% by using trapezoidal velocity curve. Furthermore, the error ratio of 10/10000 positioning steps was 0.5%. It proved that the valve-positioning precision of trapezoidal velocity curve was much higher than that of the constant frequency pulse signal control strategy. The new control method of trapezoidal velocity curve can satisfy the precision requirement of 10000 steps.

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Paper and Biomaterials
Pages 42-50
Cite this article:
Wang B, Tang W, Dong J, et al. Positioning-control Based on Trapezoidal Velocity Curve for High-precision Basis Weight Control Valve. Paper and Biomaterials, 2017, 2(2): 42-50. https://doi.org/10.26599/PBM.2017.9260013

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Received: 13 December 2016
Accepted: 29 December 2016
Published: 25 April 2017
© 2017 Paper and Biomaterials Editorial Board

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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