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Application of Adaptive Control on Carbon Fiber Diagonal Loom

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  • Control Theory and Applications
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Abstract

In order to improve the control effect of the tension fluctuation, a single neuron adaptive control strategy based on quadratic performance index is proposed in this paper. The structure and the working principle of carbon fiber diagonal loom are studied which can be used for dynamic analysis and controller design. With the idea of optimal control, the parameters of the controller are adjusted by minimizing the sum of the square of the output error and the control increment. The simulation results based on TrueTime show that the strategy adopted in this paper compared with the traditional control strategy have the advantages of faster response time and smaller overshoot in networked control system.

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Authors and Affiliations

  1. School of Mechanical Engineering, and Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tiangong University, Tianjin, 300387, China

    Wei Liu

  2. School of Electrical Engineering and Automation, Tiangong University, Tianjin, 300387, China

    Shuo Wang

  3. School of Electrical Engineering and Automation, and Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tiangong University, Tianjin, 300387, China

    Fengdong Shi, Guowei Xu & Yi Cheng

Authors
  1. Wei Liu
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  2. Shuo Wang
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  3. Fengdong Shi
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  4. Guowei Xu
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  5. Yi Cheng
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Corresponding author

Correspondence to Fengdong Shi.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Associate Editor Joseph Kwon under the direction of Editor Jay H. Lee. This work was supported in part by the Natural Science Foundation of Tianjin China, under Grants 17JCYBJC19400, 17JCYBJC18500, 18JCYBJC18300 and 18JCYBJC18400.

Wei Liu received her M.Sc. degree in computer application technology from Tiangong University, Tianjin, China, in 2010, and a Ph.D. degree in the mechanical engineering from Tiangong University, Tianjin, China, in 2018. Her research interests include detection technology, intelligent control, and computer applications of control methodologies.

Shuo Wang received his B.S. degree in College of Intelligence and Information Engineering from Tangshan University, Tangshan, China, in 2018. His research interests include networked control system and neural network.

Fengdong Shi received his M.Sc. degree of Engineering degree from Tiangong University, Tianjin, China, in 2005. His research interests include design of flow sensor, industrial internet of things, and embedded systems.

Guowei Xu received his M.Sc. degree in motor and electrical professional from Shenyang University of Technology, Shenyang, China, in 2000. and a Ph.D. degree in the textile engineering from Tiangong University, Tianjin, China, in 2015. His research interests include sliding mode control, neural networks, and artificial intelligent.

Yi Cheng received her Ph.D. degree in navigation, guidance and control from Harbin Engineering University, Harbin, China, in 2009. Her research interests include system modeling and artificial intelligent.

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Liu, W., Wang, S., Shi, F. et al. Application of Adaptive Control on Carbon Fiber Diagonal Loom. Int. J. Control Autom. Syst. 19, 1283–1290 (2021). https://doi.org/10.1007/s12555-020-0213-3

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  • DOI: https://doi.org/10.1007/s12555-020-0213-3

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