Filter based non-invasive control of chaos in Buck converter

Stabilizing the Nonlinear Dynamic Behavior of LLC Resonance Full-Bridge DC-DC Converter Under Voltage Mode Control

“…Self-stable control method is also a feedback control method, which stabilizes the system by filtering the output voltage and being feedback it to the control system. Literatures [9] and [10] have achieved selfstable control for buck converter, and the control effect is relatively good. Therefore, to further investigate the dynamic behavior and its stabilized methods, in this paper, we firstly analyze the dynamic behaviors of LLC resonance full-bridge DC-DC converter under voltage mode control and propose a novel control method contained parametric resonance perturbation, delayed feedback control and self-stable control methods to stabilize its nonlinear phenomena.…”

Non‐invasive chaos control of DC–DC converter and its optimization

“…with the variation of their system parameters, which would result in a deterioration of the system working performance. Therefore, in the last decade, many chaos control methods have been applied to feedback-controlled DC-DC converter system to avoid unstable state [15][16][17][18][19][20][21][22]. According to the chaos-control effects, the existing chaos-control methods can be classified as non-invasive control and invasive control.…”

“…Furthermore, the delay time of the existing delay-line products usually does not match the switch period of DC-DC converter directly; hence, it would lead to a complicated realization of TDFC in engineering. A novel non-invasive chaos-control method that can be easily realized with filter-based analogue circuits was applied to the Buck converter in [22] where the harmonic balance method was applied to determining the control range of control parameters. However, little information about the realization thought of the non-invasive chaos control is mentioned and with the harmonic balance method we can investigate the steady-state control effect but cannot achieve the optimization of the control parameters.…”

Pragmatical adaptive synchronization of different orders chaotic systems with all uncertain parameters via nonlinear control

“…Chaos has also been extensively studied in many fields, such as chemical reactions, power converters, biological systems, information processing, secure communications, etc. [1][2][3][4][5][6][7][8][9].…”