Title :
Multi-agent based fault detection and isolation in more electric aircraft
Author :
Nahid-Mobarakeh, B. ; Simoes, Marcelo Godoy
Author_Institution :
GREEN, Univ. of Lorraine, Vandoeuvre-les-Nancy, France
Abstract :
In this paper, a multi-agent system is developed to detect mechanical faults occurring in the flight control system in a more electric aircraft. The studied system is composed of electrical actuators controlling ailerons. In such an interconnected system, a distributed fault detection and isolation (FDI) is required to improve the reliability of the fault detection. Here, a multi-agent system is employed for this purpose. Each agent includes an FDI filter providing residual signals for its own actuator and its neighbors. A fault is detected and isolated when a majority of agents vote for it. Simulation results show the validity of this approach. Experimental tests are in progress to confirm the effectiveness of the proposed approach.
Keywords :
aerospace computing; aerospace control; aircraft power systems; electric actuators; fault diagnosis; multi-agent systems; power engineering computing; power system interconnection; power system reliability; FDI filter; distributed fault detection and isolation; electrical actuators controlling ailerons; flight control system; interconnected system; mechanical fault detection; more electric aircraft; multiagent based fault detection and isolation; reliability; Radio frequency; Voltage control; Electromechanical actuator (EMA); Fault detection and isolation (FDI); More electric aircraft (MEA); Multi-agent system (MAS);
Conference_Titel :
Industry Applications Society Annual Meeting, 2013 IEEE
Conference_Location :
Lake Buena Vista, FL
DOI :
10.1109/IAS.2013.6682530