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Two new control signal approaches for obtaining the MRAS-CDM and a real-time application

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Abstract

The coefficient diagram method (CDM) is one of the most effective control design methods. It creates control systems that are very stable and robust with responses without the overshoot and small settling time. Furthermore, all control parameters of the control systems are changed by varying some adjustment parameters in CDM depending on the demands. The model reference adaptive systems (MRAS) are the systems that follow and change the control parameters according to a given model reference system. There are several methods to combine the CDM with MRAS. One of these is to use the MRAS parameters as a gain of the CDM parameters. Another is to directly use the CDM parameters as the MRAS parameters. In the industrial applications, the system parameters can be changed frequently, but if the controller, by self-tuning, recalculates and develops its own parameters continuously, the system becomes more robust. Also, if the poles of the controlled systems approach the jw axis, the response of the closed-loop MRAS becomes more and more insufficient. In order to obtain better results, CDM is combined with a self-tuning model reference adaptive system. Systems controlled by a model reference adaptive controller give responses with small or without overshoot, have small settling times, and are more robust. Thus, in this paper, a hybrid combination of MRAS and CDM is developed and two different control structures of the control signal are investigated. The two methods are compared with MRAS and applied to real-time process control systems.

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Correspondence to Ömür Öcal.

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Ömür Öcal graduated from Osmangazi University, Eskisehir, Turkey in 2001. He received the B. Sc. degree in electrical and electronic engineering, M. Sc. degree at the Control and Automation Engineering Program from Istanbul Technical University (ITU), Istanbul, Turkey in 2004, and the Ph.D. degree at the Control and Automation Engineering Program in ITU in 2010. He worked as a research and teaching assistant at the Computer Engineering Department of Kadir Has University, Istanbul, Turkey from 2004 to 2007.

His research interests include linear control systems theory and design, automatic control, digital control, real time control, adaptive control, robust control, industrial control, neural networks, and fuzzy logic control.

Atilla Bir received the B. Sc. and M. Sc. degrees in T. H. Karlsruhe-Nachrichtentechnik, Karlsruhe, Germany in 1966. For one year, he worked as a design engineer for Siemens, Karlsruhe, Germany. He received the Ph.D. degree at the Electrical Faculty in Istanbul Technical University (ITU), Istanbul, Turkey in 1975. He worked as a research and teaching assistant in ITU from 1970 to 1980. Then, he became an assistant professor at the Electrical Faculty of ITU, Istanbul, Turkey in 1980. He has worked as a professor in ITU since 1989. He was also department chair between 1994 and 1996 and the Control Department chair in 1991–1994 and 1996–2004.

His research interests include linear control systems theory and design, multivariable systems, robust control, optimal control, non-linear control, stochastic control, industrial control, and history of science and technology.

Bernd Tibken graduated from the University of Hamburg, Germany in the winter semester 1979–1980 and in physics from the University of Hamburg in 1985. He received the Ph.D. degree from the Technical University of Hamburg-Harburg, and the Habilitation degree from the University of Ulm, Germany in 1990 and 1996, respectively. Since 1999, he has been a full professor for automatic control in the Faculty of Electrical, Information, and Media Engineering (Faculty E) of the University of Wuppertal, Germany. He received calls to full professor positions at Technical University of Freiberg in 1999 and the Helmut Schmidt University, Hamburg (former University of the Armed Forces) in 2003. Since 2002, he has been the dean of Faculty E at the University of Wuppertal.

His research interest includes nonlinear control theory, especially polynomial systems and the application of real algebra to control problems.

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Öcal, Ö., Bir, A. & Tibken, B. Two new control signal approaches for obtaining the MRAS-CDM and a real-time application. Int. J. Autom. Comput. 8, 254–261 (2011). https://doi.org/10.1007/s11633-011-0580-6

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  • DOI: https://doi.org/10.1007/s11633-011-0580-6

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