Model-free adaptive chaos control for the boost converter

Ning-zhou Li, Yi-xiang Jiang, Xiao-juan Wei
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Abstract

In order to solve the dynamic analysis and chaotic motion control problems of the current-mode-controlled Boost converter system, a state equation model in the continuous current mode is established. The evolutionary path of the periodic motion of the system through the doubling bifurcation to the chaotic motion is analyzed by the bifurcation diagram, Poincaré sections and phase portraits. Then, according to the fundamental principle of the resonant parametric perturbation (RPP) method, a controller is designed based on the model-free adaptive control (MFAC) method to output the perturbation amplitude, and the disturbance quantity is calculated according to the perturbation amplitude. By adding a small amplitude disturbance to the controllable parameter of the controlled system, the chaotic motion of the system is guided to expected periodic orbit. The advantage of this method is that no precise mathematical model (PMM) of the system is required. At the same time, the design of the controller is simple and easy to implement.
升压转换器的无模型自适应混沌控制
为了解决电流模式控制 Boost 变换器系统的动态分析和混沌运动控制问题,建立了连续电流模式下的状态方程模型。通过分岔图、Poincaré 截面和相位肖像分析了系统周期运动经过倍增分岔到混沌运动的演化路径。然后,根据共振参数扰动(RPP)方法的基本原理,设计了基于无模型自适应控制(MFAC)方法的控制器来输出扰动振幅,并根据扰动振幅计算扰动量。通过向受控系统的可控参数添加小振幅扰动,引导系统的混沌运动进入预期的周期轨道。这种方法的优点是不需要精确的系统数学模型(PMM)。同时,控制器的设计简单,易于实现。
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