Home         Authors   Papers   Year of conference   Themes   Organizations        To MES conference

Application of the principles of adaptive filtering signals to the synthesis of invariant control systems unknown dynamic plants
Authors
	Gudkova N.V.
	Besklubova K.V.
	Kulchenko A.E.
Date of publication
	2014
Abstract
	The control to dynamic plants with unknown mathematical models is considered. It is based on the direct and inverse adaptive modeling of the managed plant. For control purposes in this system formed two simultaneously occurring adaptive process: the process of adaptive identification (direct object modeling) and the process of forming the control action (inverse modeling). Adaptive plant models are implemented in the form of transversal filters with weights, tunable by the least squares method. It is shown that the proposed method allows to dampen the system vibrations, provides invariance to external influences and compensates the random low-frequency drift in a managed plant output. The simulation results confirm the effectiveness of the adaptive system.
Keywords
	dynamic object, adaptive model, functional feedback, adaptive transversal filter, the method of least squares, random drift of the output signal invariant system.
Library reference
	Gudkova N.V., Besklubova K.V., Kulchenko A.E. Application of the principles of adaptive filtering signals to the synthesis of invariant control systems unknown dynamic plants // Problems of Perspective Micro- and Nanoelectronic Systems Development - 2014. Proceedings / edited by A. Stempkovsky, Moscow, IPPM RAS, 2014. Part 4. P. 105-108.
URL of paper
	http://www.mes-conference.ru/data/year2014/pdf/D063.pdf