Nonlinear Active Disturbance Rejection Control for Buck and Boost DC/DC Converters

IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 13, pp. 6161–6177

Abstract

DC power systems facilitate the efficient integration of converter-interfaced distributed energy resources (DER). This paper presents a voltage controller for the buck and boost DC/DC converters. A non-linear active disturbance rejection control (NL-ADRC) model is proposed, consisting of an augmented sliding-mode observer for the state and disturbance estimation, an adaptive reference trajectory generator and a Lyapunov feedback controller. The NL-ADRC model follows the generalised ADRC formulation, making the voltage controller applicable to converters of the non-minimum phase (NMP) class and suitable for matched and mismatched disturbances, opposite to the original ADRC formulation, applied mostly in converters. The formulation of the reference trajectory of the NL-ADRC model according to the estimated disturbance provides a smooth state reference to the state feedback controller and enhances the robustness of the voltage controller against disturbances. The employment of advanced estimation and feedback control methods provides more degrees-of-freedom in the control design than the common L-ADRC model with a Luenberger extended state observer and a proportional error feedback controller. In addition, it offers good dynamic performance, stemming from the inherent properties of the employed methods. The NL-ADRC model is designed based on both frequency and time domain analyses, contrary to the design approaches of ADRC converter controllers in literature, revealing design trade-offs in small and large-signal disturbances. The performance is analysed in simulations against both a PID controller and a L-ADRC model, and it is validated in hardware implementation in a lab set-up.

Authors 4

1. Asimenia Korompili Aachen Institute for Automation of Complex Power Systems E.ON Energy Research Center

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany

2. Ömer Ekin

   Karlsruhe Institute of Technology

   Affiliation as printed

   Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany

3. Veit Hagenmeyer

   Karlsruhe Institute of Technology

   Affiliation as printed

   Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany

4. Antonello Monti Aachen Institute for Automation of Complex Power Systems E.ON Energy Research Center

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany