MULTIOBJECTIVE SYNTHESIS OF ROBUST CONTROL BY MULTIMASS ELECTROMECHANICAL SYSTEMS BASED ON PARETO-OPTIMAL SOLUTION
Keywords:multimass electromechanical system, robust control, multiobjective synthesis, Pareto-optimal solution
AbstractA multiobjective method of synthesis of robust control of multimass electromechanical systems based on the construction of the Pareto-optimal solution is improved. A Pareto-optimal solution based on a stochastic multi-agent particles swarm optimization, which can significantly reduce the time for solving the problem and meet the diverse requirements that apply to the work of multimass electromechanical servo systems in different modes is founded. The results of comparisons of the dynamic characteristics of the electromechanical servo system with synthesized robust regulators are presented.
Nikitina T.B. Mnogokriterial'nyj sintez robastnogo upravlenija mnogomassovymi sistemami [Multicriterion synthesis of robust control by multimass systems]. Kharkiv, Kharkiv National Automobile and Highway University Publ., 2013. 432 p. (Rus).
Semyonov A.V., Vladimirov I.G., Kurdjukov A.P. Stochastic approach to Hµ–optimization. Proc. 33rd IEEE Conf. on Decision and Control. Florida (USA), 1994, pр. 2249-2250. doi: 10.1109/cdc.1994.411485.
Diamond P., Vladimirov I.G., Kurdjukov A.P., Semyonov A.V. Anisotropy-based performance analysis of linear discrete time invariant control systems. International Journal of Control, 2001, vol.74, iss.1, pр. 28-42. doi: 10.1080/00207170150202661.
Vladimirov I.G., Kurdjukov A.R, Semyonov A.V. State-space solution to anisotropy-based stochastic Hµ–optimization problem. Proc. 13th IFAC World Congress. San-Francisco (USA), 1996, pр. 427-432.
Voronin A.N. Mnogokriterial'nyj sintez dinamicheskih sistem [Multicriteria synthesis of dynamic systems]. Kiev, Naukova dumka Publ., 1992. 160 p. (Rus).
Clerc M. Particle Swarm Optimization. London, ISTE Ltd., 2006. 244 p. doi: 10.1002/9780470612163.
Gazi V., Passino K.M. Swarm Stability and Optimization. Springer, 2011. 318 p. doi: 10.1007/978-3-642-18041-5.
Kuznetsov B.I., Nikitina T.B., Kolomiets V.V., Khomenko V.V. Multiobjective synthesis of stochastic by multimass electromechanical systems based on stochastic multi-agent optimization. Visnyk NTU "KhPІ" – Bulletin of NTU "KhPІ", 2014, no.62(1104), pp. 77-86.
Nogin V.D. Prinjatie reshenij v mnogokriterial'noj srede: kolichestvennyj podhod [Multicriteria decision making environment: a quantitative approach]. Мoscow, Fyzmatyzdat Publ., 2004. 176 p. (Rus).
Shtouer R. Mnogokriterial'naja optimizacija. Teorija, vychislenija i prilozhenija [Multicriterion optimization. Theory, computation and application]. Мoscow, Radio i Svjaz Publ., 1992. 504 p. (Rus).
Batishchev D.I., Shaposhnikov D.E. Mnogokriterial'nyj vybor s uchetom individual'nyh predpochtenij [Multicriteria selection to suit individual preferences]. Nizhny Novgorod, IPF RАN Publ., 1994. 92 p. (Rus).
Kuznetsov B.I., Nikitina T.B., Kolomiets V.V. Sintez elektromehanicheskih sistem so slozhnymi kinematicheskimi cepjami [Synthesis of electromechanical systems with complex kinematic chains]. Kharkiv, Ukrainian Engineering and Pedagogical Academy Publ., 2005. 512 p. (Rus).
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