Method to filter the updated input of P-type ILC controllers with communication delays and noises

Abstract

Communication interference affects the performance of networked iterative learning control (ILC) systems. In this paper, instead of designing new ILC controllers, we design a filter on the side of objects to calculate the updated input of ILC controllers under the effects of communication delays and noises in both links. To design the filter, a transmission model is developed to describe four different reception cases caused by communication delays and noises. Utilising the knowledge of ILC controllers and the developed transmission model, the filter is designed according to the orthogonality projection principle. Theoretical analysis and simulation results show that the calculated input effectively improves the convergence of objects controlled by the P-type ILC controller with communication delays and noises.

Keywords:

• Iterative learning control
• delay
• noise
• convergence
• filtering

Acknowledgments

The authors wish to express their gratitude for all the reviewers' insightful comments and suggestions to improve this manuscript.

Data availability statement

The data that support the findings of this study are available from the corresponding author, [LH], upon reasonable request.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors sincerely appreciate the support of National Natural Science Foundation of China [Grant Nos. 61771432, 61901418, 61973104 and 62173127]; the Henan Provincical Science and Technology Research Project [Grant No. 222102210166]; the Basic Research Project of Education Department of Henan [Grant Nos. 21ZX003 and 20A880004]; the Postgraduate Education Reform and Quality Improvement Project of Henan Province [Grant No. YJS2021KC12]; the Innovative Fund Plan of Henan University of Technology [Grant No. 2020ZKCJ06]; the Scientific and Technological Innovation Leaders in Central Plains [Grant No. 224200510008]; and the Zhengzhou Science and Technology Collaborative Innovation Project [Grant No. 21ZZXTCX06].

Notes on contributors

Lixun Huang

Lixun Huang received the B.S. degree in Electronic Information Science and Technology from Henan University of Technology, China, in 2006, and the Ph.D. degree in Communication and Information System from Shanghai University, China, in 2013. He is currently a lecturer with the School of Computer and Communication Engineering, Zhengzhou University of Light Industry, China. His interest is in iterative learning control and networked control systems.

Xinyang Guo

Xinyang Guo received the B.E. degree from Luoyang Institute of Science and Technology, China, in 2019. He is currently pursuing the M.S. degree with the School of Computer and Communication Engineering, Zhengzhou University of Light Industry, China. His research interests include iterative learning control and networked control systems.

Lijun Sun

Lijun Sun received the B.S. degree from Xidian University, China, in 1989, the M.S. degree from HeFei University of Technology, China, in 2001, and the Ph.D. degree from the Northwestern Polytechnical University, China, in 2005. Now, she is currently a professor in College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China. Her research interests include artificial intelligent, wireless sensor network, computational intelligence, signal processing and robot application.

Qiuwen Zhang

Qiuwen Zhang received his Ph.D. degree in Communication and Information System from Shanghai University, Shanghai, China, in 2012. Since 2012, he has been with the faculty of the School of Computer and Communication Engineering, Zhengzhou University of Light Industry, where he is currently an Associate Professor. He has published over 30 technical papers in the field of pattern recognition and image processing. His major research interests include signal processing, machine learning, pattern recognition, video codec optimization, and multimedia communication.

Weihua Liu

Weihua Liu received the M.S. degree in Applied Mathematics from Zhengzhou University, Zhengzhou, China, in 2014 and the Ph.D. degree in communication and information system from University of Chinese Academy of Sciences, Beijing, China, in 2018, respectively. He is currently a Lecturer with the School of Computer and Communication Engineering, Zhengzhou University of Light Industry, China. His research interests include information theory and wireless communication.

Zhe Zhang

Zhe Zhang received the B.E. degree in Electronic and Information Engineering from The First Aviation Academy of Chinese Air Force, Xinyang, China, in 2009, and the Ph.D. degree in Information and Communication Engineering from Zhengzhou University, Zhengzhou, in 2017. She is currently a lecturer with the School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China. Her research interests include radio resource management and signal processing for wireless communications.