ADAPTIVE CONTROL WITH ADVANCED ERROR SYSTEMS WITH ENTRANCE LAG
Keywords:
transfer function, adaptive control, auxiliary model, IEEE, time lag, systemAbstract
With the problem of control of systems with input lag, developers are faced in various engineering applications, such as transport and communication systems, chemical processes, energy systems. The presence of a delay in the mathematical description of objects has a significant impact on the stability and quality of control processes. In this regard, the development of new methods and algorithms for controlling such systems is urgent. Whichever method this control problem is solved, for its effective solution, an explicit or implicit forecast of the object's output for the time delay in the control channel is required. In most real systems, there is an uncertainty in the mathematical description of an object, which leads to anticipation of an undefined object by adaptive methods. There are two main approaches used in the synthesis of control systems under conditions of uncertainty, robust and adaptive. The problem of control of systems with delay under uncertainty has been solved by many authors in the class of robust [1] and adaptive systems [2]. Most of the proposed solutions for the synthesis of algorithms for adaptive control of such systems were based on the use of distributed delay blocks [3, 4], which are technically difficult to implement. In this paper, to control systems one input one output with an input delay, we propose a new structure of the control device with a model lead [5, 6, 7], using a filtering scheme of minimal complexity [8]. Note that the resulting adaptive control structure contains only blocks with lumped delay, which simplifies the practical application of such systems.
References
Hua C., Guan X., Shi P. Robust adaptive control for uncertain time–delay systems // International journal of adaptive control and signal processing. – 2005. – Vol. 19, no. 7. – p. 531–545.
Ichikawa K. Adaptive control of delay system // International Journal of Control. – 1986. – Vol. 41. – Pp. 1653–1659.
Ortega R., Lozano R. Globally stable adaptive controller for systems with delay // International Journal of Control. – 1988. – Vol. 47, №. 1. – Pp. 17–23.
Adaptive control of a class of time–delay systems / S. Evesque, A. M. Annaswamy, S. I. Niculescu, A. P. Dowling // Journal of Dynamic Systems, Measurement, and Control. – 2003. – Vol. 125, № 2. – Pp. 186–193.– (Special Issue: Time Delayed Systems).
Mirkin E. L. Combination of sliding mode and reference model prediction methods for adaptive control of input delay systems // Proceeding of the 7th International Workshop on Variable Structure Systems. – Sarajevo: 2002. – July 17–19. – Pp. 153–162.
Mirkin E. L., Mirkin B. M., Gutman P.–O. Model reference adaptive control of nonlinear plant with dead time // Proceedings of the 47th IEEE Conference on Decision and Control. – Cancun, Mexico: 2008. – Dec. 9–11. – Pp. 1920–1924.
Mirkin B. M., Mirkin E. L., Gutman P.–O. State–feedback adaptive tracking of linear systems with input and state delays // International journal of adaptive control and signal processing. – 2009. – Vol. 23, № 6. – Pp. 567–580.
Миркин Е. Л., Шаршеналиев Ж. Ш. Синтез адаптивных алгоритмов управления для одномерных динамических систем с вспомогательной моделью // Проблемы автоматики и управления – Бишкек: Илим, 2008. –с. 5–14.
Monopoli R. V. Model reference adaptive control with an augmented error signal // IEEE Trans. Aut. Contr. – 1974. Vol. AC––19. – Pp. 474–484.
Якубович В.А. Решение определенных матричных неравенств в теории автоматического управления // Доклады Академии Наук СССР. №143. – 1962. с. 1304–1307.
Ioannou P. A., Sun J. Robust Adaptive Control. – New Jersey: Prentice–Hall, 1996.
Narendra K. S., Annaswamy A. M., Singh R. P. A general approach to the stability analysis of adaptive systems // International Journal of Control. – 1985. – Vol. 41, no. 1. – Pp. 193–216.
On identifiability of linear time–delay systems / R. Orlov, L. Belkoura, J. Richard, M. Dambrine // IEEE Transactions on Automatic Control. – 2002. – no. 8. – Pp. 1319–1324.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Automation and control problems
This work is licensed under a Creative Commons Attribution 4.0 International License.