scholarly journals Identification of UAV model parameters from flight and computer experiment data

2021 ◽  
pp. 12-22
Author(s):  
Serhii Kochuk ◽  
Dinh Dong Nguyen ◽  
Artem Nikitin ◽  
Rafael Trujillo Torres
Keyword(s):  
Mathematical Models ◽  
Automatic Control ◽  
Control Systems ◽  
Transfer Functions ◽  
Parametric Identification ◽  
Model Parameters ◽  
Identification Methods ◽  
Automatic Control Systems ◽  
Dynamic Objects ◽  
Structural And Parametric Identification

The object of research in the article is various well-known approaches and methods of structural and parametric identification of dynamic controlled objects - unmanned aerial vehicles (UAVs). The subject of the research is the parameters of linear and nonlinear mathematical models of spatial and isolated movements, describing the dynamics and aerodynamic properties of the UAV and obtained both from the results of flight experiments and using computer object-oriented programs for 3-D UAV models. The goal is to obtain mathematical models of UAV flight dynamics in the form of differential equations or transfer functions, check them for reliability and the possibility of using them in problems of synthesis of algorithms for automatic control systems of UAVs. Tasks to be solved: evaluation of the analytical (parametric), direct (transient), as well as the identification method using the 3-D model of the control object. Methods used structural and parametric identification of dynamic objects; the determination of static and dynamic characteristics of mathematical models by the type of their transient process; the System Identification Toolbox package of the MatLab environment, the Flow Simulation subsystem of the SolidWorks software and the X-Plane software environment. The experimental parameters of UAV flights, as well as the results of modeling in three-dimensional environments, are the initial data for the identification of mathematical models. The following results were obtained: the possibility of analytical and computer identification of mathematical models by highly noisy parameters of the UAV flight was shown; the mathematical models of UAVs obtained after identification is reliable and adequately reproduce the dynamics of a real object. A comparative analysis of the considered UAV identification methods is conducted, their performance and efficiency are confirmed. Conclusions. The scientific novelty of the result obtained is as follows: good convergence, reliability and the possibility of using the considered identification methods for obtaining mathematical models of dynamic objects to synthesize algorithms for automatic control systems of UAVs is shown.

scholarly journals Inverse problems of the dynamics of observation interpretation systems

2021 ◽  
Vol 2131 (3) ◽  
pp. 032109
Author(s):  
A Verlan ◽  
M Sagatov
Keyword(s):  
Inverse Problems ◽  
Mathematical Models ◽  
Dynamic Models ◽  
Transfer Functions ◽  
Parametric Identification ◽  
Volterra Equations ◽  
Model Parameters ◽  
Numerical Solution Methods ◽  
Dynamic Objects ◽  
Inverse Problems Of Dynamics

Abstract Based on the analysis and systematization of the inverse problems of dynamics, the study of the properties and features of the types of dynamic models under consideration, an approach is proposed for the development of appropriate methods of mathematical modeling based on the use and implementation of integral models in the form of Volterra equations of the I and II kind, their functional capabilities are determined in the study of various classes of problems, and also formulated the features that affect the choice of methods for their numerical solution. Methods for obtaining integral models are proposed, which are the basis for constructing algorithms for solving inverse problems of dynamics for a fairly wide class of dynamic objects. Integral methods for the identification of dynamic objects have been developed, which make it possible to obtain stable non-optimization algorithms for calculating the parameters of mathematical models. Recurrent methods of parametric identification of transfer functions of dynamic objects with an arbitrary input action are proposed (the obtained parameters of the transfer functions are also coefficients of the corresponding differential equations, which makes it possible to obtain equivalent mathematical models in the form of integral equations). The study of algorithms that implement the proposed identification methods allows us to conclude about their efficiency in terms of the amount of computation and ease of implementation, as well as the high accuracy of calculating the model parameters.

scholarly journals Features of dynamic loading of transport vehicles in intensive operation

2018 ◽  
Vol 216 ◽  
pp. 01012
Author(s):  
Andrey Eliseev ◽  
Sergey Eliseev ◽  
Alexey Orlenko
Keyword(s):  
Mathematical Models ◽  
Automatic Control ◽  
Control Systems ◽  
Dynamic Loading ◽  
Dynamic Properties ◽  
Dynamic Effects ◽  
Automatic Control Systems ◽  
Oscillatory Systems ◽  
Analytical Tools

The paper proposes a method to construct mathematical models of technical objects exposed to intense vibrational interactions, which is typical for assemblies of transport vehicles. A technique has been developed to construct structural mathematical models in the form of structural diagrams, which are dynamically equivalent to automatic control systems. Analytical tools have been adopted from the theory of automatic control. The paper demonstrates the possibilities of changing dynamic properties of technical objects, design schemes of which are represented by mechanical oscillatory systems. Changes in the dynamic effects arising from the introduction of additional inertial couplings have been estimated. Effects of new dynamic properties have been considered. Analytic relations have been proposed for detailed estimates.

scholarly journals ИССЛЕДОВАНИЕ ПРОБЛЕМЫ ФОРМИРОВАНИЯ ЗАВИСИМОСТИ ПАРАМЕТРОВ ДИНАМИЧЕСКОЙ МОДЕЛИ ДВУХВАЛЬНОГО ТРДД ОТ РЕЖИМА РАБОТЫ

2020 ◽  
pp. 89-97
Author(s):  
Сергей Валерьевич Епифанов ◽  
Роман Леонидович Зеленский ◽  
Алексей Васильевич Бондаренко
Keyword(s):  
Mathematical Models ◽  
Automatic Control ◽  
Control Systems ◽  
Dynamic Model ◽  
Dynamic Models ◽  
Linear Structure ◽  
Local Area ◽  
Linear Interpolation ◽  
Automatic Control Systems ◽  
Gas Dynamic

Mathematical models are efficient instrument of engines and their automatic control systems designing. The main areas of the models application are simulation modeling of the controlled object at analysis, synthesis and semi-natural simulation, and also model-based engine controlling algorithms designing. In this case, a set of mathematical models is used that is derived from the initial (base) thermo-gas-dynamic model of working process, which is usually designed and supported by the engine designer. However, it not satisfies the requirement of real-time calculations when the model simulates the engine dynamics at operation with the real electronic hardware. Lacking of the above-listed shortcomings dynamic model of the engine is formed as a combination of simplified static and dynamic models. In this case, the dynamic model has a linear structure and characterizes dynamic relations in a local area close to the engine static characteristics that is represented as the static model. This dynamic model can be determined by linearization of the base thermo-gas-dynamic model. The base model is grounded on characteristics of the engine components, which are built using experimental results and a peace-linear interpolation. Due to the peace-linear interpolation of the characteristics, relations between the engine parameters have breaks, that causes errors in calculations, which are done using the model, and not corresponds to real processes in the engine. The drastic method to overcome this problem is a perfection of thermo-gas-dynamic model by smoothing the characteristics of components. However, this will mismatch the model, which is used by the ASC designer, and the base model of the engine designer. This paper considers approximation of the dynamic model coefficients, which are determined using the component-based thermo-gas-dynamic model with the peace-linear interpolation of the components’ characteristics. The research is aimed in improvement of the used linear dynamic models in a state space and automation of their forming for the engine automatic control systems quality increasing and synthesis acceleration.

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