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Periodic solutions of multi-degree-of-freedom strongly nonlinear coupled van der Pol oscillators by homotopy analysis method

机译:多自由度强非线性耦合范德波尔振荡器的周期解同伦分析方法

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摘要

The mathematical models of multi-degree-of-freedom (MDOF) strongly nonlinear dynamical systems are described by coupled second-order differential equations. In general, the exact solutions of MDOF strongly nonlinear dynamical systems are frequently unavailable. Therefore, efforts have been mainly concentrated on the approximate analytical solutions. The homotopy analysis method (HAM) is a useful analytic tool for solving strongly nonlinear dynamical systems, and it provides a simple way to ensure the convergence of solution series by means of a convergence-control parameter (h/2p){hbar}. Unlike the classical perturbation techniques, this method is independent of the presence of small parameters in the governing equations of motion. In this paper, the HAM is applied to formulate the analytical approximate periodic solutions of MDOF strongly nonlinear coupled van der Pol oscillators. Within this research framework, the frequency and the displacements of two-degree-of-freedom (2-DOF) strongly nonlinear systems can be explicitly obtained. For authentication, comparisons are carried out between the results obtained by the homotopy analysis and numerical integration methods. It is shown that the fourth-order or eighth-order solutions of the present method provide excellent accuracy. Illustrative examples of three-degree-of-freedom (3-DOF) strongly nonlinear coupled van der Pol oscillators are also presented and discussed. Finally, the optimal HAM approach is used to accelerate the convergence of the solutions.
机译:通过耦合二阶微分方程描述了多自由度(MDOF)强非线性动力学系统的数学模型。通常,通常无法获得MDOF强非线性动力学系统的精确解。因此,努力主要集中在近似分析解决方案上。同伦分析方法(HAM)是求解强非线性动力学系统的有用分析工具,它提供了一种通过收敛控制参数( h / 2p ){hbar}。与经典的摄动技术不同,此方法独立于运动控制方程中的小参数。在本文中,HAM被用于制定MDOF强非线性耦合范德波尔振荡器的解析近似周期解。在此研究框架内,可以明确获得两自由度(2-DOF)强非线性系统的频率和位移。为了进行验证,在通过同态分析和数值积分方法获得的结果之间进行比较。结果表明,本方法的四阶或八阶解提供了极好的精度。还介绍并讨论了三自由度(3-DOF)强非线性耦合范德波尔振荡器的示例。最后,使用最佳HAM方法来加速解决方案的收敛。

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