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Reduced order modeling of nonlinear time periodic systems subjected to external periodic excitations

机译:受到外部周期激励的非线性时间周期系统的降阶建模

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摘要

In this work, new methodologies for order reduction of nonlinear systems with periodic coefficients subjected to external periodic excitations are presented. The periodicity of the linear terms is assumed to be non-commensurate with the periodicity of forcing vector. The dynamical equations of motion are transformed using the Lyapunov-Floquet (L-F) transformation such that the linear parts of the resulting equations become time-invariant while the forcing and nonlinearity takes the form of quasiperiodic functions. The techniques proposed here construct a reduced order equivalent system by expressing the non-dominant states as time-varying functions of the dominant (master) states. This reduced order model preserves stability properties and is easier to analyze, simulate and control since it consists of relatively small number of states in comparison with the large scale system. Specifically, two methods are discussed to obtain the reduced order model. First approach is a straightforward application of linear method similar to the 'Guyan reduction'. The second novel technique proposed here extends the concept of 'invariant manifolds' for the forced problem to construct the fundamental solution. Order reduction approach based on this extended invariant manifold technique yields unique 'reductibility conditions'. If these 'reduability conditions' are satisfied only then an accurate order reduction via extended invariant manifold approach is possible. This approach not only yields accurate reduced order models using the fundamental solution but also explains the consequences of various 'primary' and 'secondary resonances' present in the system. One can also recover 'resonance conditions' associated with the fundamental solution which could be obtained via perturbation techniques by assuming weak parametric excitation. This technique is capable of handling systems with strong parametric excitations subjected to periodic and quasi-periodic forcing. It is anticipated that these order reduction techniques will provide a useful tool in the analysis and control system design of large-scale parametrically excited nonlinear systems subjected to external periodic excitations.
机译:在这项工作中,提出了一种新的方法,用于减少周期性系数受到外部周期性激励的非线性系统的阶数。假设线性项的周期性与强迫向量的周期性不相称。使用Lyapunov-Floquet(L-F)变换对运动的动力学方程进行变换,以使所得方程的线性部分变为时不变的,而强迫和非线性则采用拟周期函数的形式。此处提出的技术通过将非主导状态表示为主导(主)状态的时变函数来构造降阶等效系统。该降阶模型保留了稳定性,并且与大型系统相比,由于状态数量相对较少,因此更易于分析,仿真和控制。具体来说,讨论了两种获得降阶模型的方法。第一种方法是线性方法的直接应用,类似于“ Guyan折减”。这里提出的第二种新技术扩展了强迫问题的“不变流形”的概念,以构造基本解。基于这种扩展不变流形技术的降阶方法产生了独特的“还原条件”。如果仅满足这些“可重复性条件”,则可以通过扩展的不变歧管方法进行准确的订单减少。这种方法不仅可以使用基本解决方案生成精确的降阶模型,而且可以解释系统中存在的各种“初级”和“次级共振”的后果。人们还可以通过假设微弱的参数激励,通过微扰技术获得与基本解相关的“共振条件”。该技术能够处理具有强参数激励的系统,该系统受到周期性和准周期性强迫。可以预期,这些降阶技术将在分析和控制遭受外部周期激励的大型参数化非线性系统的系统中提供有用的工具。

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