Mathematical modeling of loading of heavy-class robotic complexes on a tracked chassis into transport aircraft of EMERCOM of Russia

2021 ◽  
pp. 80-85
Author(s):  
А.А. Лопухов ◽  
Ю.Н. Осипов ◽  
Е.В. Павлов ◽  
В.И. Ершов

Рассмотрен один из возможных подходов к математическому моделированию загрузки робототехнического комплекса (РТК) тяжелого класса на гусеничном шасси с независимой торсионной подвеской в транспортный самолет. Данный подход представляет собой часть обоснованной оценки авиатранспортабельности специальных РТК. Он базируется на построении и решении системы линейных уравнений, в результате чего определяются параметры, по которым оценивается факт «вписывания» конструкции образца РТК в размеры грузовой кабины самолета. Актуальность статьи обусловливается, во-первых, потребностью в создании специальных РТК тяжелого класса для применения при тушении пожаров на особо опасных объектах, во-вторых, значительным вкладом оценки возможностей по загрузке в самолеты РТК в априорную аналитическую оценку авиатранспортабельности специальных РТК как до создания опытных образцов, так и в ходе оперативной подготовки к перебазированию в районы чрезвычайных ситуаций и, в третьих, определенной сложностью графоаналитического моделирования рассматриваемой загрузки. The threat of man-made danger with such sources as accidents at radiation, chemical and explosive objects exists at present time. That’s why it is advisable to create heavy-class fire robotic complexes on a tracked chassis, as the most effective means of extinguishing fires in these conditions. The consequences of emergencies depend on a quick and timely response. Therefore, when creating the new promising fire equipment, one of the most important issues to be addressed is to ensure its air transportability. At the stage of development of advanced heavy-class fire-fighting robotic systems on a tracked chassis with the planned possibility of their air transportability, it is very important to perform an a priori assessment of this property before creating a prototype. Modeling of loading involves solving a variety of problems, the main and most complex of which is the calculation of the spatial position of the structure of a particular robotic complex model with a tracked chassis relative to the internal contours of the cargo cabin of the aircraft. There are several types of structures for springing support rollers of tracked chassis. This article discusses tracked chassis with independent torsion bar suspension widely used in modern military equipment. It is advisable to focus the development of heavy-class fire robotics on the use of torsion bar suspension. The calculation of parameters that form the basis of mathematical modeling consists in solving a system of nonlinear equations (including algebraic and trigonometric operations). One of the equations describes the condition of the equilibrium of forces, the second - the equilibrium of moments, the rest (according to the number of support rollers minus one) describe the conditions for the location of the torsion axes on a given construction axis. The proposed calculation method provides for the transformation of this system into a system of linear algebraic equations which ensure an approximate solution, and the organization of an iterative process that ensures the convergence of a sequence of approximate solutions to the solution of the original system of nonlinear equations. The approach presented in the article can be used as the basis for modeling the loading of a special robotic complex on a tracked chassis with an independent torsion suspension into the cargo cabin of a transport aircraft. In turn, this modeling allows us to perform the reasonable a priori assessment of the air transportability of the robotic complex, carried out both at the stage of layout of the sample during its creation and during operation.

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 271 ◽  
Author(s):  
Ramandeep Behl ◽  
Ioannis K. Argyros

Many real-life problems can be reduced to scalar and vectorial nonlinear equations by using mathematical modeling. In this paper, we introduce a new iterative family of the sixth-order for a system of nonlinear equations. In addition, we present analyses of their convergences, as well as the computable radii for the guaranteed convergence of them for Banach space valued operators and error bounds based on the Lipschitz constants. Moreover, we show the applicability of them to some real-life problems, such as kinematic syntheses, Bratu’s, Fisher’s, boundary value, and Hammerstein integral problems. We finally wind up on the ground of achieved numerical experiments, where they perform better than other competing schemes.


2014 ◽  
Vol 701-702 ◽  
pp. 1173-1176
Author(s):  
Vitaly Viktorovich Pivnev ◽  
Sergey Nikolaevich Basan

The way of calculating the currents and voltages in nonlinear resistive electrical circuits , based on the use of power series (Taylor, Maclaurin) is considered . The advantage of this method lies in the fact that while it implementation it is not necessary to a system of nonlinear equations. To determine the numerical values ​​of the coefficients of the power series corresponding system of linear algebraic equations are solved. Nonlinear operations are limited to the calculation of the numerical values ​​of currents, voltages and their derivatives with respect to the pole equations of nonlinear elements.


1984 ◽  
Vol 30 (12) ◽  
pp. 1985-1988 ◽  
Author(s):  
I Pardowitz ◽  
H G Zimmer ◽  
V Neuhoff

Abstract The coordinates of the center of measured spots are nonlinearly transformed to get an optimal match between the transformed coordinates and the given coordinates of a reference pattern. The parameters of the transformation are determined by the minimum of a function of squared distances between all spots of the sample and of the reference pattern. The algorithm requires a priori defined correspondences between some pivot points in the sample and the reference and treats their distances differently from the others. The parameters of the transformation are the solutions of a system of nonlinear equations; their numerical values are obtained by iteration.


2019 ◽  
Vol 7 (3) ◽  
pp. 55-61
Author(s):  
Elena Kitayceva

The article is devoted to mathematical modeling of flow distribution in hydraulic net-works. Calculations of hydraulic networks are carried out at the stage of their design and operation. The results of numerical simulation are used to control the operation of the hy-draulic network in real time. The mathematical model of the distribution of flows in the hydraulic network is a system of nonlinear equations. The nodal pressures method used to solve the system of equations numerically is the n-dimensional Newton method. To ensure stable and fast convergence of the iterative process, it is proposed to use the initial approx-imation taking into account the network topology and parameters of its objects, use the lower relaxation factor and optimize the structure of the Maxwell matrix. The algorithms presented in the paper allow one to significantly reduce the dimension of the system of nonlinear equations being solved.


2019 ◽  
Vol 10 (4) ◽  
pp. 877-886 ◽  
Author(s):  
Chhavi Mangla ◽  
Musheer Ahmad ◽  
Moin Uddin

Author(s):  
Chuan He ◽  
Gang Zhao ◽  
Aizeng Wang ◽  
Fei Hou ◽  
Zhanchuan Cai ◽  
...  

AbstractThis paper presents a novel algorithm for planar G1 interpolation using typical curves with monotonic curvature. The G1 interpolation problem is converted into a system of nonlinear equations and sufficient conditions are provided to check whether there is a solution. The proposed algorithm was applied to a curve completion task. The main advantages of the proposed method are its simple construction, compatibility with NURBS, and monotonic curvature.


SPIN ◽  
2021 ◽  
pp. 2140004
Author(s):  
Cheng Xue ◽  
Yuchun Wu ◽  
Guoping Guo

While quantum computing provides an exponential advantage in solving the system of linear equations, there is little work to solve the system of nonlinear equations with quantum computing. We propose quantum Newton’s method (QNM) for solving [Formula: see text]-dimensional system of nonlinear equations based on Newton’s method. In QNM, we solve the system of linear equations in each iteration of Newton’s method with quantum linear system solver. We use a specific quantum data structure and [Formula: see text] tomography with sample error [Formula: see text] to implement the classical-quantum data conversion process between the two iterations of QNM, thereby constructing the whole process of QNM. The complexity of QNM in each iteration is [Formula: see text]. Through numerical simulation, we find that when [Formula: see text], QNM is still effective, so the complexity of QNM is sublinear with [Formula: see text], which provides quantum advantage compared with the optimal classical algorithm.


Author(s):  
Scott A. Burns

Abstract A monomial-based method for solving systems of algebraic nonlinear equations is presented. The method uses the arithmetic-geometric mean inequality to construct a system of monomial equations that approximates the system of nonlinear equations. This “monomial method” is closely related to Newton’s method, yet exhibits many special properties not shared by Newton’s method that enhance performance. These special properties are discussed in relation to engineering design optimization.


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