This paper proposes an integrated design approach addressing the state/fault estimation (SFE) and fault-tolerant control (FTC) issues for switched T-S fuzzy systems with sensor and actuator faults and external disturbances. A switched fuzzy observer is developed to simultaneously estimate the system states and the sensor and actuator faults from measurement outputs affected by sensor faults. Based on this observer,a switched fuzzy fault-tolerant controller is designed to stabilize the closed-loop system and compensate for the effects of different considered faults,taking into account the presence of external disturbances. The mutual coupling between the estimation unit (SFE) and the control unit (FTC) supports the integrated design of these two units instead of the separated one. However,the separated design is the most adopted in the literature because the integrated design leads to complex stability conditions in the form of bilinear matrix inequalities (BMI). This work focuses on the integrated design considering the different interactions between the observer and the controller and thus ensuring good performance in terms of estimation,control,robustness,and fault compensation. For this purpose,a two-step integrated design strategy (TSIDS) and a single-step integrated design strategy (SSIDS) are proposed to formalize the integrated SFE and FTC design as linear matrix inequalities instead of bilinear ones. These strategies are based on the mode-dependent average dwell time concept,the piecewise Lyapunov function technique,and the robust H approach. The applicability and efficiency of the developed results are illustrated by studying a numerical example and a single-link robotic manipulator.

Fault diagnosis has been considered as a crucial technique that the commercial fuel cell systems should be equipped with. Knowing that different faults or functioning modes can cause different distributions of current densities, monitoring the current density for fuel cells could be a possible solution to realize fault diagnosis. In the previous studies, a nonintrusive current density estimation method has been developed by measuring the magnetic fields around the fuel cells. However, a clear quantitative diagnosis strategy was not provided in these studies. This paper is dedicated to studying a quantitative datadriven diagnosis strategy based on the magnetic measurement. In the proposed strategy, fault diagnosis can be realized by a two-step procedure, i.e. feature extraction and classification. The high diagnosis performance on the detection and identification of several common faults highlights the effectiveness of the proposed strategy. In addition to the basic diagnosis function, an index is proposed to quantify the faulty level as a fault is diagnosed. The proposed strategy is also compared with the ones in the literature to show its pros and cons.

The high penetration of renewable energy systems with fluctuating power generation into the electric grids affects considerably the electric power quality and supply reliability. Therefore, energy storage resources are used to deal with the challenges imposed by power variability and demand-supply balance. The main focus of this paper is to investigate the appropriate storage technologies and the capacity needed for a successful tidal power integration. Therefore, a simplified sizing method, integrating an energy management strategy, is proposed. This method allows the selection of the adequate storage technologies and determines the required least-cost storage capacity by considering their technological limits associated with different power dynamics. The optimal solutions given by the multi-objective evolutionary algorithm are presented and analyzed.

This paper presents a complex study of the performance developed by an outer rotor induction motor with multipole stator winding. The novelty of the proposed structure consists in the replacement of the regular lap winding with a ring type one, which allows a higher flexibility in changing the number of pole pairs. The purpose is mainly to obtain a superior torque capability by changing the synchronous speed. This study is based on FEM, Simulink analyses, and experimental tests. A startup strategy for the reduction of starting time, current, and electric power consumption is developed as well.