多维振动系统的最优陀螺稳定器

A. Chekhonadskikh
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引用次数: 0

摘要

利用陀螺稳定器研究了多维振动系统的稳定问题。振动系统由对称矩阵系数二阶微分方程给出:正定的刚度矩阵和不定的阻尼矩阵;一般来说,这样的系统是不稳定的。我们需要找到一个最优的陀螺稳定器,它由一个速度项中的偏对称矩阵系数表示。这种控制类型的选择取决于避免滑动摩擦引起的额外振动的趋势。其特点是控制器的降阶,而不考虑系统的维数和可调参数的个数。我们的目标是阐明陀螺仪稳定剂品种的最重要性质。用多项式方程组来描述。一般情况下,通解变化的维数很容易求出,其中一些点可以用数值方法计算。我们从一个维度3的例子开始,它导致一个六阶常微分方程(ODE)的系统,然后是一个关于六个未知数的五个多项式方程的系统。它的通解是一个以表格形式表示的一维代数变量。第二个例子的维度是5;它对应于一个十阶微分方程系统和九个多项式方程,有十五个未知数。解流形的维数等于6;我们找到了一个一维子簇和一些奇异点。主要的困难是在一个封闭系统的多极附近数值计算的发散。其中一个重要的性质,在这两个例子中都表现出来,就是共轭复数极点的存在,偶尔也会是实极点的倍数;因此,几乎所有最优陀螺仪稳定器的解都是由相对快速衰减的振荡组成的。在这两个例子中,各种各样的解决方案主要由简单的极点组成,并允许人们选择不产生谐振效应的稳定器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimal gyroscopic stabilizer of a multidimensional vibration system
We study the stabilizing problem for a multidimensional vibration system using a gyroscopic stabilizer. A vibration system is given by a second order differential equation with symmetrical matrix coefficients: a positive definite stiffness matrix and an indefinite damping matrix; in general, such a system is unstable. We need find an optimal gyroscopic stabilizer for it represented by a skew-symmetric matrix coefficient in a speed term. The choice of this control type is dictated by the tendency to avoid additional vibrations caused by slip-slide friction. Its feature is a reduced order of the controller, regardless of the dimension of the system and the number of tunable parameter. Our goal is to elucidate the most important properties of the gyroscopic stabilizers variety. It is described by a polynomial equations system. The dimension of the general solution variety in the regular case is easily found and some of its points can be calculated numerically. We start with an example of dimension 3, which leads to a system of 6th order ordinary differential equations (ODE) and then a system of five polynomial equations with regard to six unknowns. Its general solution turns out to be a one-dimensional algebraic variety presented in a table form. The second example has dimension 5; it corresponds to a tenth-order system of differential equations and nine polynomial equations in fifteen unknowns. The dimension of the solution manifold is equal to six; we find a one-dimensional subvariety and some singular points. The main difficulty is the divergence of numerical calculations near the multiple poles of a closed system. One of the important properties, that manifested itself in both examples, was the presence of complex conjugate poles and occasionally multiples of real ones; thus, almost all solutions for an optimal gyroscopic stabilizer are made up of relatively rapidly decaying oscillations. In both examples, the variety of solutions consists mostly of simple poles and allows one to choose a stabilizer that does not create resonant effects.
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