V. K. Kaliappan, Hanmaro Yong, A. Budiyono, D. Min
{"title":"Fault tolerant controller design for component faults of a small scale unmanned aerial vehicle","authors":"V. K. Kaliappan, Hanmaro Yong, A. Budiyono, D. Min","doi":"10.1109/URAI.2011.6145937","DOIUrl":null,"url":null,"abstract":"In this paper additive fault detection and isolation method coupled with fault tolerant control architecture are developed in order to deal with component faults for a rotorcraft based unmanned aerial vehicle (RUAV). The failure considered is malfunction with internal components of the helicopter which occurs during the maneuvers: rotor angular rate variations, etc. These faults lead from trivial to catastrophic damage of the system. The proposed fault detection and reconfiguration control is based on a parameter estimation approach which drives a reconfigurable control system (RCS) build with the Pseudo-inverse method. The complete setup is implemented under Hardware-in-the-loop-simulation (HILS). The PC104 board with QNX RTOS platform is used for simulation. Simulation results illustrate the efficiency and effectiveness of the proposed approach.","PeriodicalId":385925,"journal":{"name":"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2011.6145937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this paper additive fault detection and isolation method coupled with fault tolerant control architecture are developed in order to deal with component faults for a rotorcraft based unmanned aerial vehicle (RUAV). The failure considered is malfunction with internal components of the helicopter which occurs during the maneuvers: rotor angular rate variations, etc. These faults lead from trivial to catastrophic damage of the system. The proposed fault detection and reconfiguration control is based on a parameter estimation approach which drives a reconfigurable control system (RCS) build with the Pseudo-inverse method. The complete setup is implemented under Hardware-in-the-loop-simulation (HILS). The PC104 board with QNX RTOS platform is used for simulation. Simulation results illustrate the efficiency and effectiveness of the proposed approach.