Abstract

Abstract

Abstract

Abstract
This paper presents an approach based on parity equations for the problem of fault diagnosis in Buck and Boost converters. The basic idea of this method consists of to formulate a set of residues that compare the difference between the signals measured from the power circuit with an equation model describing the nominal behavior of the power converter. The fault detection algorithm is based on checking the residuals of the inductor current and output voltage. The fault signatures matrix was obtained using a theoretical analysis of residuals in order to establish an appropriate and effective fault isolation algorithm for converters running in continuous mode. Simulation results demonstrate the effectiveness of the method to isolate the main faults in the Buck and Boost power converters. © 2020 IEEE.

Abstract
This work proposes a new control framework for power converters with a dual half bridge (DHB) configuration. The new framework exploits the multi-port structure of the DHB to simultaneously: i) regulate the current in the primary side of the DIM and ii) equalize the voltage in the two secondary ports of the DHB. To implement these functions, we combine input-output linearization methods with pragmatic voltage balance algorithms. We then apply this framework to a hybrid energy storage system composed of a battery pack and two supercapacitor modules. Numerical simulation results demonstrate the effectiveness of the proposed approach in regulating the power between the energy storage units and balancing the supercapacitors' voltages.

Abstract
Switched reluctance machines are simple, robust, fault-tolerant and do not use permanent magnets, which makes them a strung candidate fur vehicular propulsion. Despites the advantages they still stiffer from high torque pulsation and acoustic noise, which can be reduced by the controller. In this paper the concern is in having an advanced current control, so it is used the model predictive control (MPC). This requires an accurate model to estimate the future behavior of current and the back-electromotive force (emf) signal is essential. As this signal cannot be directly calculated or measured it is proposed a new algorithm to calculate its estimation in real time. The algorithm is easy to implement and the numerical results show the accuracy of the method, which permits a very low current estimation error in the MPC framework.