Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system

Abstract

The increased cost of fuel and maintenance in aircraft system lead to the concept of more electric aircraft, moreover this concept increase the use of power electronic converters in aircraft power system. Since in this application, the reliability is a crucial feature. Therefore, the use of more efficient, reliable and robust power converter with health management capability will be a big challenge. Multicellular topology of power converters has the required performance in terms of efficiency and robustness. However, the increased complexity of control and more power components (power switches and capacitors) goes along with an increase in possibility of failure in multicellular topology. Therefore, the main contribution of this paper is the use of multicellular topology advantageous with fault diagnosis and fault tolerant control in order to increase the robustness reliability. The health management using a fault detection with Fuzzy Pattern Matching (FPM) algorithm when a failure in power switches or flying capacitors of multicellular converter and a Fault Tolerant Control (FTC) with sliding mode of second parallel three cells multicellular converters. Simulation results with Matlab show the increased efficiency and the continuity of work during failure mode in aircraft power system.

Camera-based PHM method in rotating machinery equipment micro-action scenarios

“…Among the fields of PHM, which includes fault diagnosis, health management, and other research activities, such as defect early warning, defect diagnosis, fault early warning and positioning, fault diagnosis, maintenance plan, autonomous operation, and maintenance [12], etc., since there is some manpower waste in several industries at present because of the high frequency of maintenance, the concept of intelligent operation and maintenance has been proposed. It is important to improve perception, prediction, fault prevention abilities, and to fully understand the mechanism and principle of faults and defects, collect terminal perception data for analysis, such as current data, acceleration data, displacement data, lidar data, etc.…”

“…The smaller the 𝐿 𝑟 , the better. The equation for updating the in-class center is 𝑐 𝑗 𝑡+1 = 𝑐 𝑗 𝑡 − 𝑙𝑟 * ∆𝑐 𝑗 , 𝑐 𝑖 is the in-class center, 𝑙𝑟 is the learning rate, and the solution equation of the class center is in equation (12).…”

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

“…Therefore, a multilevel converter topology is proposed in a PV water pumping system [9] that can operate with low-voltage stress across devices and a wide voltage range. Among multilevel topologies, a multicellular converter which has more advantages such as can operate under high DC voltage, lower rating power switches [10][11][12][13], increased switching frequency, reduced voltage stress, and adjustable output voltage [14][15]. In [16], a multicellular converter with a new Maximum Power Point Tracking (MPPT) algorithm was used in photovoltaic applications.…”

Self-adaptive fault-tolerant control strategy of shunt active power filter based on multicellular converter

“…Recently, the increasing use of nonlinear loads such as uninterruptible power supplies, adjustable speed drives, furnaces and so on in domestic and industrial appliances, leads to propagate current harmonics in the grid [1][2][3][4] and due to the sensitivity of modern industry to power quality problems, these current harmonics can increase the thermal stress, mechanical vibrations, noise in communication systems and electromagnetic interference [5][6][7][8]. Shunt Active Power Filters (SAPF) are proposed in many research works in order to solve all these problems, mitigate harmonics and improve power quality [9][10][11][12].…”