Analysis of dynamic characteristics of the nonlinear amplitude-phase converter at complex input influence

Vasilyev, G. S.; Kurilov, I. A.; Kharchuk, S. M.; Surzhik, D. I.

doi:10.1109/sibcon.2013.6693641

Cited by 7 publications

(6 citation statements)

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“…The use of the spectral method allows us to perform a piecewise linear approximation of the input control actions and the spectrum of the output signal of the system under study, and then obtain the desired expressions of dynamic characteristics by performing the inverse Fourier transform from the output spectrum (Vasilyev et al, 2013;Kurilov et al, 2014). Using a simple approximation with linear segments allows you to get analytical solutions in the same type of record for describing different models of ACS and the control object -UAV.…”

Section: Methodology For Modeling Dynamic Properties Of Uavs and High-order Control Systemsmentioning

confidence: 99%

Development of a methodology to model the dynamic properties of UAVS and high-order control systems

Vasilyev

Kuzichkin

Kurilov

et al. 2020

RDLUZ

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When modeling the dynamic properties of an unmanned aerial vehicle (UAV) and an automatic control system (ACS), it is often necessary to take into account factors such as the lack of rigidity of the aircraft structure, the influence of control and destabilizing factors, which leads to an increase in the order of the model under study. The known numerical and analytical methods do not allow us to obtain general solutions for the variable parameters of the high-order system under study, and at the same time provide the required amount of error and computational costs. A method is developed to model the dynamic properties of UAVs and high-order control systems based on the spectral method, the linear approximation by parts of the input control actions and the spectrum of the system's output signal. An example of using the technique to model the dynamic properties of different orders ACS UAVs (from 1 to 10) with different types of inertia is considered. Based on the analysis of errors in the calculation of the transition process, the effectiveness of the method for analyzing high-order systems is shown based on the required computational costs.

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Section: Methodology For Modeling Dynamic Properties Of Uavs and High-order Control Systemsmentioning

confidence: 99%

Development of a methodology to model the dynamic properties of UAVS and high-order control systems

Vasilyev

Kuzichkin

Kurilov

et al. 2020

RDLUZ

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show abstract

“…The authors' studies have shown the effectiveness of applying the approximation of various influences, nonlinear and frequency characteristics of radio devices, in particular, signal generators, continuous piecewise functions (CPF) with high accuracy and a simple analytical form [22][23][24][25][26][27][28].…”

Section: Main Part 21 Approximation Of the Characteristics Of The Simentioning

confidence: 99%

Algorithms for analysis of stability and dynamic characteristics of signal generators at the physical level in FANET networks

et al. 2020

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To ensure the reliability of the physical level of Flying Ad Hoc Networks (FANET), the article substantiates the relevance of the study of stability and dynamic processes of signal formation and processing paths in the terminal and intermediate network equipment. The limitations of the known methods of the theory of automatic control, which make it difficult to perform the analysis of essentially nonlinear high-order signal generators, are shown. To analyze the stability of such formations proposed algorithm based on the use of the Nyquist criterion and approximation of the characteristic polynomial of a device by continuous piecewise functions; to analyze the dynamic characteristics of the algorithm based on spectral method of the input signal approximation and the frequency characteristics of a device by continuous piecewise functions.

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“…MOSFET transistors can be used as switching elements (SE) [26], which are connected by a bridge circuit. It is proposed to analyze the dynamic modes of TES using the spectral method previously proposed by the authors based on the approximation of the system characteristics by piecewise linear functions [22][23][24][25]. This will allow us to obtain generalized expressions of transients for any order of the studied pulse system, arbitrary character of nonlinearity and switching effects.…”

Section: Functional Diagram and Model Of The Current Control System Fmentioning

confidence: 99%

Method for Modeling Dynamic Modes of Nonlinear Control Systems for Thermoelectric Modules

Vasilyev¹,

Kuzichkin²,

Surzhik³

2020

Advances in Dynamical Systems and Applications

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Analysis of dynamic characteristics of the nonlinear amplitude-phase converter at complex input influence

Cited by 7 publications

References 0 publications

Development of a methodology to model the dynamic properties of UAVS and high-order control systems

Development of a methodology to model the dynamic properties of UAVS and high-order control systems

Algorithms for analysis of stability and dynamic characteristics of signal generators at the physical level in FANET networks

Method for Modeling Dynamic Modes of Nonlinear Control Systems for Thermoelectric Modules

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