On the limits of chaotic simulations by classic software - application to the step motor

F. Alin, B. Robert, C. Goeldel
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引用次数: 9

Abstract

The well known butterfly effect which induces the divergence of two initially infinitely near trajectories in a bounded space hardly damage chaotic dynamic systems simulation quality. The integration step truncation which stands in numbers representation produced when not precisely controlled ghost solutions like split in two cycles first observed under long time simulations. This is not simply a question of precision decrease but rather a qualitative change in the simulated solution nature. This paper shows that a sharp analysis of the numerical integrator manages to justify rewriting the algorithm. The dynamic system under study is a hybrid two-phased step motor. After briefly describing the motor model, this paper compares classic simulation using Matlab and experimental results in order to point out strange and meaningless behaviours appearing during long time simulations. In the third part we will analyse the numerical reasons of this divergence. At last the fourth part explains how to remedy those drawbacks and presents the improved results.
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经典软件混沌仿真的局限性——在步进电机中的应用
众所周知的蝴蝶效应在有界空间中引起两个初始无限接近轨迹的发散,这几乎不会损害混沌动力系统的仿真质量。在长时间模拟中首次观察到,当不精确控制幽灵解(如分裂为两个周期)时,积分步骤截断以数字表示产生。这不仅仅是精度降低的问题,而是模拟解性质的质变问题。本文表明,对数值积分器的尖锐分析可以证明重写算法是正确的。所研究的动力系统为混合式两相步进电机。在简要描述电机模型的基础上,将Matlab经典仿真与实验结果进行对比,指出长时间仿真中出现的奇怪和无意义的行为。在第三部分,我们将分析这种分歧的数字原因。最后,第四部分阐述了如何弥补这些不足,并给出了改进的结果。
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