Abstract
A method is proposed for creating an optimal parametrically robust structure system of a state observer based on the process of similarity converting of a plant model, in which the conversion matrix is formed by varying singular numbers of controllability and observability gramians. The method enables a state observer structure to be obtained with a definite ratio of controllability and observability that permits fulfillment of parametric robustness conditions, namely, absence of positive feedback in the controller’s composition.
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References
R. Iserman, Digital Control Systems, Transl. from English, Mir Publishers, Moscow, 1984.
A. A. Voronov, An Introduction to Dynamics of Complex Control Systems, Nauka (Science), Moscow, 1985.
V. A. Podchukaev, Analytical Methods of Automatic Control Theory, PHYSMATLIT, Moscow, 2002.
B. T. Poliak and P. S. Scherbakov, Robust Stability and Control, Nauka (Science), Moscow, 2002.
S. V. Tararykin and V. V. Tyutikov, “Robust modal control of dynamic systems,” Automation and Remote Control, vol. 63, no. 5, pp. 730–742, May 2002.
A. A. Anisimov, D. G. Kotov, S. V. Tararykin, and V. V. Tyutikov, “Analysis of parametric sensitivity and structural optimization of modal control systems with state controllers,” Journal of Computer and System Sciences International, vol. 50, no. 5, pp. 698–719, October 2011.
A. A. Anisimov and S. V. Tararykin, “Peculiarities of synthesis of parametrically robust modal control system with state observers,” Journal of Computer and System Sciences International, vol. 51, no. 5, pp. 617–627, October 2012.
V. A. Boichenko, A. P. Kudryukov, C. N. Timin, M. M. Tschaikovsky, and I. B. Yadykin, “Some methods of synthesizing controllers with deflated order and set structure,” Large System Control, vol. 19, pp. 23–126, December 2007.
L. A. Mironovsky and T. N. Solovyova, “Analysis and synthesis of modally balanced systems,” Automation and Remote Control, vol. 74, no. 4, pp. 588–603, April 2013.
D. S. Biryukov, N. A. Dudarenko, O. V. Slita, and A. V. Ushakov, “Designing controlled objects, part 1,” Mechatronics, Automation, Control, vol. 147, no. 6, pp. 2–6, June 2013.
R. Ober and D. McFarlane, “Balanced canonical forms for minimal systems: a normalized coprime factor approach,” Linear Algebra Appl., vol. 122–124, pp. 23–64, 1989.
B. C. Moore, “Principal component analysis in linear systems: controllability, observability and model reduction,” IEEE Trans. Automat. Control, vol. AC-26, pp. 17–32, 1981.
I. Markovsky, B. L. M. De Moor, P. Rapisarda, and J. C. Willems, “Algorithms for deterministic balanced subspace identification,” Automatica, vol. 41, no. 5, pp. 755–766, 2005.
S. Koshita, K. Miyoshi, M. Abe, and M. Kawamata, “Realization of variable band-pass/band-stop IIR digital filters using gramian preserving frequency transformation,” Proc. of ISCAS, pp. 2698–2701, 2010.
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Recommended by Associate Editor Young Ik Son under the direction of Editor Yoshito Ohta. Presented results were obtained within of state task given by Russian Ministry of Education and Science on 2017–2019 years.
Sergey V. Tararykin graduated from Ivanovo State Power Engineering University, Ivanovo, Russia in 1978. He was conferred on the Doctor of engineering degree in automation and control of industrial objects in 1992. His research interests include methods for structural and parametric synthesis of robust control systems and automatic systems for adaptive and robust control of industrial robots.
Anatoly A. Anisimov graduated from Ivanovo State Power Engineering University, Ivanovo, Russia in 1994. He was conferred on the Doctor of engineering degree in automation and control of industrial objects in 2014. His research interests include methods for structural and parametric synthesis of robust control systems and modern algorithms for parametric optimization and tuning of state controllers in real time mode
Artem A. Gerasimov graduated from Ivanovo State Power Engineering University, Ivanovo, Russia and received his bachelor degree in industrial electronics in 2016. His research interests include programming, microcontrollers and synthesis of robust control systems.
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Tararykin, S.V., Anisimov, A.A. & Gerasimov, A.A. Synthesizing Parametrically Robust Control Systems with State Controllers and Observers Based on Gramian Method. Int. J. Control Autom. Syst. 17, 2490–2499 (2019). https://doi.org/10.1007/s12555-018-0382-5
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DOI: https://doi.org/10.1007/s12555-018-0382-5