This paper presents a non-isolated DC–DC converter for fuel-cell electric vehicle applications. An H-infinity control, based on mixed sensitivity, applied to a three-phase interleaved boost converter, is proposed. This controller is intended for an outer voltage loop and an inner current loop, to ensure a high stability, especially of the dynamic responses, under any operating conditions. The proposed H-infinity controller for the fuel cell system is implemented in a digital signal processor, thus ensuring both excellent reference tracking and disturbance rejection properties.

This study presents an innovative control method for a specific type of DC/DC power converter, known as a three-leg interleaved non-isolated converter (IBC), which is particularly useful for proton exchange membrane fuel cell (PEMFC) electric vehicles (EVs). The control strategy introduced is a dual-loop system, utilizing a fractional-order proportional-integral (FOPI) technique. This includes two components: an external loop for DC bus voltage regulation and an internal one for current control(control of the FC through their IBC). This approach aims to swiftly adjust to changes in load and disturbances while maintaining high-quality dynamic performance, even in open circuit faults (OCF) scenarios. The FOPI based-controller’s optimal parameters are meticulously determined through the Equilibrium Optimizer (EO) algorithm, enhancing overall system performance and responsiveness. Evaluation and comparison of the proposed controller’s efficiency and superior performance are conducted against formal FOPI and other optimization algorithms using Matlab-Simulink simulation software. Practical validation involves the implementation of the proposed controller on a laboratory prototype—a 1.2KW three-phase interleaved boost converter—controlled by a dSPACE 1104 accusation card. The method exhibits outstanding practical results across diverse tests, including load variations, steady and transient states, and OCF modes. This comprehensive study contributes valuable insights into the realm of DC/DC power converter control.

This paper is concerned with the stability and stabilization problem of a Takagi-Sugeno fuzzy (TSF) system. Using a non-quadratic function (well-known integral Lyapunov fuzzy candidate (ILF)) and some lemmas, new sufficient conditions are established as linear matrix inequalities (LMIs), which are solved with a stochastic fractal search (SFS). The main advantage of the technique used is its small conservatives. Motivated by the mean value theorem, a state feedback controller based on a non-quadratic Lyapunov function is designed. Unlike other approaches based on poly-quadratic Lyapunov candidates, stability conditions of the closed loop are obtained in LMI regions. It is important to highlight that the time derivatives of membership functions do not appear in the used line integral Lyapunov function, which is the well-known problem of poly-quadratic Lyapunov functions. A numerical example is given to show the advantages and the utility of the integral Lyapunov fuzzy candidate, which provides a wider feasibility region than other Lyapunov functions.