Adaptive Suboptimal Control of Input Constrained Plants

Azarskov, Valerii N.; Блохін, Л.М.; Zhytetskyi, Leonid

doi:10.18372/2306-1472.48.40

Cited by 4 publications

(29 citation statements)

References 9 publications

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“…To attain the objective, as outlined in reference [1], the task of developing an identification algorithm for the dynamic model of the multi-dimensional moving objectthe Stewart platform -was formulated and solved.…”

Section: Methodsmentioning

confidence: 99%

“…In this case, the system configuration is considered known, or assumptions are made about the class of the functional description relative to it, while the parameters that characterize the system are treated as unknown. The identification task boils down to search for solutions in the space of the sought parameters of the system [1,5].…”

Section: Problem Statementmentioning

confidence: 99%

“…However, special full-scale (semi-full-scale) studies of prototypes of future mobile objects allow solving problems of structural identification [1] of the dynamics models of complex objects.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…Today, there is a fairly wide range of methods for identifying dynamic models of control objects that operate under conditions of uncontrolled concentrated stationary random influences [1,4,5,10], based on the 'inputoutput' data. The 'input-output' method [10] involves combining signals acting at the input and output of the system into a single signal vector.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…Their competitiveness is mainly influenced by the extent to which they achieve high quality and efficient utilization, as well as the ultimate goals of functioning in responsible operating modes. As stated in refer-ences [1,2], the operation of these products is affected by a multitude of stochastic factors, both deterministic and random, which considerably complicate the processes of attaining set goals and the ultimate results in each specific responsible operating mode of moving objects. Determining the dynamics models of input-output stochastic signal vectors of a control object or its prototype in respective operating modes allows for structural identification of the dynamics models of such an object.…”

Section: Introductionmentioning

confidence: 99%

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Stewart Platform Dynamics Model Identification

Zozulya,

Osadchy,

Nedilko

2024

RIC

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Context. At the present stage, with the current demands for the accuracy of motion control processes for a moving object on a specified or programmable trajectory, it is necessary to synthesize the optimal structure and parameters of the stabilization system (controller) of the object, taking into account both real controlled and uncontrolled stochastic disturbing factors. Also, in the process of synthesizing the optimal controller structure, it is necessary to assess and consider multidimensional dynamic models, including those of the object itself, its basic components, controlled and uncontrolled disturbing factors that affect the object in its actual motion. Objective. The aim of the research, the results of which are presented in this article, is to obtain and assess the accuracy of the Stewart platform dynamic model using a justified algorithm for the multidimensional moving object dynamics identification. Method. The article employs a frequency-domain identification method for multidimensional stochastic stabilization systems of moving objects with arbitrary dynamics. The proposed algorithm for multidimensional moving object dynamics model identification is constructed using operations of polynomial and fractional-rational matrices addition, multiplication, Wiener factorization, Wiener separation, and determination of dispersion integrals. Results. As a result of the conducted research, the problem of identifying the dynamic model of a multidimensional moving object is formalized, illustrated by the example of a test stand based on the Stewart platform. The outcomes encompass the identification of the dynamic model of the Stewart platform, its transfer function, and the transfer function of the shaping filter. The verification of the identification results confirms the sufficient accuracy of the obtained models. Conclusions. The justified identification algorithm allows determining the order and parameters of the linearized system of ordinary differential equations for a multidimensional object and the matrix of spectral densities of disturbances acting on it under operating conditions approximating the real functioning mode of the object prototype. The analysis of the identification results of the dynamic models of the Stewart platform indicates that the primary influence on the displacement of the center of mass of the moving platform is the variation in control inputs. However, neglecting the impact of disturbances reduces the accuracy of platform positioning. Therefore, for the synthesis of the control system, methods should be applied that enable determining the structure and parameters of a multidimensional controller, considering such influences.

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Section: Methodsmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stewart Platform Dynamics Model Identification

Zozulya,

Osadchy,

Nedilko

2024

RIC

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Air Quality as Proxy for Assesment of Economic Activity

Yailymova,

Kolotii,

Kussul

et al. 2023

IEEE EUROCON 2023 - 20th International Conference on Smart Technologies

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In Ukraine most of citizens and economic activity are concentrated over urban city centers and city functional areas. Thus, Air Quality and, in particular, levels of fine particulate matter (e.g., PM2.5 and PM10) over cities can be a proxy for assessment of economic activity and density of city populations. Since the russia invasion to Ukraine started on 24 of February 2022 according to UNHCR (the UN Refugee Agency) 8 million refugees from Ukraine have now been registered across the Europe. Almost 7 million more are displaced within the country. On the other hand, there is no official statistics from national statistical service showing current influence of invasion on city economic activity or inhabitants amount. Thus, such a proxy can be used to see current situation by analyzing of particulate matter time series. In this work we compare averaged annual cumulated PM2.5 for 2018-2021 years with values for 2022 and estimate the correlation them with publicly available statistics on migration to see some relations. Global Sustainable Development Goal (SDG) indicator 11.6.2, "Annual mean levels of fine particulate in cities (population weighted)" is being extended for 2022 and compared with previous years.

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Identification of an unmanned aerial vehicle pilot-operator dynamics model under stochastic conditions

Осадчий,

Івлієв,

Колісніченко

et al. 2023

nitps

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The article is devoted to investigation of the new rules for identifying the pilot and his remnants dynamics models in the conditions of work as a part of a multidimensional closed-loop control system for an unmanned aerial vehicle. The article subject is the analysis of existing methods for identifying the dynamics model of a multidimensional object (pilot) as a closed-loop system part. An additive mixture of a vector random useful signals and random noises is allowed at the object output. The research purpose is to substantiate the object (pilot) frequency characteristics and noises’ (remnants) spectral densities matrices determining rules. All signals are assumed to be centered stationary random processes. The research method is based on the use of the control systems statistical dynamics rules. The application of the rules is illustrated by an example in the Matlab programming environment.

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Adaptive Suboptimal Control of Input Constrained Plants

Cited by 4 publications

References 9 publications

Stewart Platform Dynamics Model Identification

Stewart Platform Dynamics Model Identification

Air Quality as Proxy for Assesment of Economic Activity

Identification of an unmanned aerial vehicle pilot-operator dynamics model under stochastic conditions

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