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Bifurcation scenario and chaos detection under variation of PI controller and induction motor parameters

机译:PI控制器和感应电动机参数变化下的分叉情况和混沌检测

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The aim of this paper is to provide numerical analysis to better understand the dynamic behavior of an indirect field oriented control (IFOC) of a current-fed induction motor. Bifurcation analysis of some parameters of the electrical motor model is achived. More importantly, we investigate the change that affects the dynamics and stability under small variations of a Proportional Integral controller (PI) gains. In fact, the dynamical properties of this electrical machine exhibit a rich behaviour. Indeed equilibrium point and complex oscillatory phenomena such as limit cycle and chaos are observed. Since a perturbation of PI control gains led to the existence of regular behavior and region where chaotic phenomena may occur. Thus, a numerical and graphical simulations of both parametric and phase plane singularities are carried out. Using numerical continuation techniques, we compute both bifurcation diagrams for the equilibrium points and the 2-parametric bifurcation curves. The analysis of the obtained bifurcation simulations gives a procedure to adjust both the parameters of motor and the PI controller gains.
机译:本文的目的是提供数值分析,以更好地理解电流感应电动机的间接磁场定向控制(IFOC)的动态行为。对电动机模型的某些参数进行了分叉分析。更重要的是,我们研究了在比例积分控制器(PI)增益很小变化下影响动态和稳定性的变化。实际上,该电机的动力特性表现出丰富的性能。实际上,观察到平衡点和复杂的振荡现象,例如极限环和混沌。由于PI控制增益的扰动导致规则行为和可能出现混沌现象的区域的存在。因此,进行了参数和相平面奇异性的数值和图形模拟。使用数值连续技术,我们计算了平衡点的分叉图和2参数分叉曲线。对获得的分叉仿真的分析给出了调整电机参数和PI控制器增益的程序。

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