Estimation of the bifurcation point of a modulated-hysteresis current-controlled DC–DC boost converter: stability analysis and experimental verification

• Published in: IET power electronics Vol. 8; no. 11; pp. 2195 - 2203
• Main Authors: Gavagsaz-Ghoachani, Roghayeh, Phattanasak, Matheepot, Zandi, Majid, Martin, Jean-Philippe, Pierfederici, Serge, Nahid-Mobarakeh, Babak, Davat, Bernard
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.11.2015
• Subjects: bifurcation; bifurcation point; Bifurcations; continuous conduction mode; continuous‐time averaging model; Control systems; Controllers; Converters; DC to DC; DC‐DC power convertors; Electric converters; electric current control; Electric power; Electronic circuits; Engineering Sciences; fixed‐switching frequency; modulated‐hysteresis current controller; modulated‐hysteresis current‐controlled DC–DC boost converter; nonlinear phenomena; power electronics; Robustness; stability analysis; system parameter variations; zero static error; modulated-hysteresis current-controlled DC–DC boost converter; bifurcation point; continuous-time averaging model; stability analysis; zero static error; system parameter variations; DC-DC power convertors; electric current control; power electronics; continuous conduction mode; bifurcation; modulated-hysteresis current controller; fixed-switching frequency; nonlinear phenomena
• ISSN: 1755-4535; 1755-4543; 1755-4543; 1755-4535
• DOI: 10.1049/iet-pel.2015.0078

It is known that power electronic circuits such as DC–DC converters are rich in non-linear phenomena. It is often necessary to determine when the system becomes unstable. The authors investigate a continuous-time averaging model for a modulated-hysteresis current controller. This model is applied to a boost converter working in continuous conduction mode to estimate the bifurcation point and to study the stability of the controlled system. This controller ensures a fixed-switching frequency, a zero static error and high robustness properties of the system parameter variations. Simulation and experimental results are presented to validate the proposed approach.