The power semiconductor device is one of the most fragile components of the DC-DC power converters in industrial applications. In this paper, a Luenberger observer-based switch fault diagnosis method is proposed for the DC-DC interleaved boost converter (IBC) for fuel cell (FC) application. The diagnosis variable is the inductor current, which is within the main control system, without needing extra sensors. An adaptive threshold is used to avoid the effects of the converter modeling imperfection, and the wide converter operation range due to FC nonlinear volt-ampere characteristic. The proposed fast diagnosis method is robust to the converter parameter uncertainty and external disturbance. The simulation and experiment results validate the effectiveness and robustness of the proposed diagnosis method.

In this paper, a robust switch fault diagnosis method based on sliding mode observer is proposed and applied to the dc-dc multi-phase floating interleaved boost converter (FIBC). The proposed method requires only a crude converter model with nominal circuit parameters. It shows strong robustness to the circuit parameter uncertainties and disturbances. The diagnosis variables are already within the closed-loop control system, without needing extra sensors. The sampling requirement for fault diagnosis is the same level as that of the main controller. Therefore, the proposed diagnosis method can be added-on the available digital control system directly. The effectiveness and robustness of the proposed diagnosis method are validated by the simulation and experiment results. The switch open-circuit faults can be diagnosed in less than two switching periods.

To enhance the robustness and to deal with the switch fault uncertainty of floating interleaved dc-dc boost converter (FIBC), an adaptive active disturbance rejection control (ADRC) is proposed in this paper. In particular, the controller parameter b0 is adapted by obtaining approximately the system input control gain b in real time, based on the output duty cycles via digital filters. Compared with the conventional ADRC, the performance of the proposed controller is significantly improved, without the need of extra sensors. Moreover, the influences of the controller parameters on the system dynamical performance are analyzed theoretically, providing a practical guideline for controller tuning. The simulation and experiment results validate the effectiveness and the robustness of the proposed controller.

In this paper, to deal with the undesired high input current ripple of dc-dc floating interleaved boost converter caused by the switch open-circuit fault, an innovative fault remedy method by reconfiguring uneven new phase shift angles is developed. The derivation process of the reconfigured uneven new phase shift angle using selected harmonic elimination approach is presented. The performance evaluation results show that, compared with the conventional even phase shift reconfiguration, the proposed uneven phase shift reconfiguration can achieve significant improvement in reducing the converter input current ripple. The implementation method of the phase shifting based on the carrier wave in pulse width modulation (PWM) module is also given in detail. Finally, both simulation and experimental results validate the effectiveness of the proposed method.

In this article, a robust adaptive controller based on active disturbance rejection control algorithm is proposed for interleaved dc–dc Boost converter for fuel cell application. The unknown load power and parametric variations are regarded as part of the total disturbance, which is estimated by extended-state-observer (ESO), and then canceled in the control law. Within the proposed controller, the parameter ${b_0}$ is adapted in real-time to reduce the estimation burden of ESO. It is shown that compared with the conventional controller, the proposed controller can achieve significant improvement in terms of robustness, the strong antidisturbance performance can be maintained with the varied number of active phases. Finally, simulation and experimental results validate the effectiveness and superiority of the proposed controller.