Linear Optimal Multi-periodic Repetitive Control - A Low Order Controller Scheme
DOI:
https://doi.org/10.11121/ijocta.01.2012.0096Keywords:
optimal, repetitive control, computation, multi-period, BIBOAbstract
This article proposes a new method for treating the computational problem in discrete time linear multi-periodic repetitive control systems, where the reference signal includes several periodic components with already known periods. As periods get large, the computational problem becomes prominent. This work thus investigates the frequency contents of reference signals, where the order of original repetitive controller is lowered by considering only a reduced number of poles, namely, the most important contributors to the total energy of the multi-periodic reference signal. A lower order multi-periodic repetitive controller is designed which assures BIBO stability of the closed-loop system, and approximate tracking is achieved. Finally, experimental tests on a non-minimum phase spring mass damper system demonstrate the effectiveness of this new controller.Downloads
References
Francis, B.A. and Wonham, W.M., The internal model principle for linear multivariable regulators,Applied Mathematics and Optimization, 2(1), 170–194, (1975). CrossRef
Garimella, S.S. and Srinivasan, K., Application of repetitive control to eccentricity compensation in rolling, Journal of Dynamic Systems Measurement and Control 118,(1996)
Tomizuka, M., Tsao, T.C., and Chew, K.K., Analysis and Synthesis of Discrete-Time Repetitive Controllers, Journal of Dynamic Systems, Measurement and Control. (1989) CrossRef
Sadegh, N., and Guglielmo, K. (1995), “A new repetitive controller for mechanical manipulators,†Journal of Robotic Systems, Copyright 1991 Wiley Periodicals, Inc. A Wiley Company.
Yamada, M., Riadh, Z., and Funahashi, Y. (2000), “Discrete Time Repetitive Control System with Multiple Periods,†IEEE.
Manayathara, T.J., Tsao, T.C., Bentsman, J., and Ross, D. (1996), “Rejection of Unknown Periodic Load Disturbances in Continuous Steel Casting Process Using Learning Repetitive Control Approach,†IEEE Trans. On Control Systems Technology, 4, 259–265. CrossRef
Yamada, M., Funahashi, Y., Ishihara, S., and Matsushita, M. (1996), “Extended Discrete-Time Prototype Repetitive Controllers and Its Application,†Proceedings of the 35th Conference on Decision and Control, Kobe, Japan. IEEE.
Sato, H., Sueno, T., Toyama, T., Mikawa, M., and Toda, T. (1991), “High accuracy Magnet Power Supply for Proton Synchrotron By Repetitive Control,†IEEE.
Ghosh, J., and Paden, B. (2000), “Nonlinear repetitive control,†IEEE Transactions, Automatic Control. CrossRef
Horowitz, K.K. (1990), “Repetitive and adaptive control of robot manipulators with velocity estimation,†IEEE Trans on Robotics and Automation, 13, 204–217.
Ahn, H.S. (2003), Discrete Time Adaptive Repetitive Control and Its Application to a Linear BLDC Motor, The Fourth International Conference on Control and Automation (ICCA’03), Montreal, Canada.
Chotai, A. and Owens D.H., Digital control design using reduced order models, in Proceedings of the IEE International Conference Control85 (1985)
Han, Y., Owens, D.H. and Chu, B, Discrete Time Linear Optimal Repetitive Control - A Low Order Controller Scheme, Proceedings of the 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks, Livepool, UK, 238 - 243, (2010)
Hillerstrom, G., and Sternby, J., “Repetitive Control Using Low Order Models,†American Control Conference, Volume: 2, On page(s):1873– 1878. (1994)
Wang, L., Chai, S., Freeman, C.T., and Rogers E., On Structure Selection for Multivariable Repetitive-predictive Controllers, 49th IEEE Conference on Decision and Control December, Hilton Atlanta Hotel, Atlanta, GA, USA, 15-17, (2010)
Owens, D.H., Marian., T.R., Hatonen, J.J. and Li, L.M., Discrete time linear optimal multi-periodic repetitive control: a benchmark tracking solution, International Journal of Control, 79:9, 991–1001, (2006) CrossRef
Amann, N., Owens, D.H. and Rogers, E., Iterative learning control using optimal feedback and feedforward actions, International Journal of Control, 65, 277–293, (1996) CrossRef
rajatani.my.id. (2020). rajatani.my.id -. [online] Available at: http://www.rajatani.my.id/ [Accessed 12 Jan. 2020].
Freeman, C.T., Lewin, P.L., H¨at¨onen, J., Owens, D.H., and Ylinen, R. , An optimality based Repetitive Control algorithm for discrete-time systems, IEEE, Transactions on Circuits and Systems–I: Regular Papers, 55, No.1. (2008)
Downloads
Published
How to Cite
Issue
Section
License
Articles published in IJOCTA are made freely available online immediately upon publication, without subscription barriers to access. All articles published in this journal are licensed under the Creative Commons Attribution 4.0 International License (click here to read the full-text legal code). This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available.
Under the Creative Commons Attribution 4.0 International License, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in IJOCTA, so long as the original authors and source are credited.
The readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
This work is licensed under a Creative Commons Attribution 4.0 International License.