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Robust Fault Detection and Isolation using Bond Graph for an Active-Passive Variable Serial Elastic Actuator
Po-Jen Cheng, Han-Pang Huang
Pages - 29 - 47     |    Revised - 30-06-2015     |    Published - 31-07-2015
Volume - 6   Issue - 2    |    Publication Date - July 2015  Table of Contents
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KEYWORDS
Serial Elastic Actuator, Bond Graph, Fault Detection and Isolation, Zero Gravity Control.
ABSTRACT
A robot is a complex machine, comprising mechanism, actuators, sensors, and electrical system. It is, therefore, hard to guarantee that all the components can always function normally. If one component fails, the robot might harm humans. In order to develop the active-passive variable serial elastic actuator (APVSEA) [1] that can detect the occurrence of any component fault, this paper uses bond graph to design a robust fault detection and isolation (RFDI) system. When the robot components malfunction, the RFDI system will execute suitable isolation strategies to guarantee human safety and use zero-gravity control (ZGC) to simultaneously compensate for the torque caused by gravity. Thus, the user can consistently interact with the robot easily and safely. From the experimental results, the RFDI system can filter out uncertain parameters and identify the failed component. In addition, the zero-gravity control can lessen potentially physical damage to humans.
CITED BY (1)  
1 Chen, P. J. (2016). The use of bond graph development between man and robot safety interaction system. Thesis, Institute of Mechanical Engineering, National Taiwan University, 1-155.
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A. Vick, D. Surdilovic, J. Kruger, “Safe Physical Human-Robot Interaction with Industrial Dual-Arm Robots,” Workshop on Robot Motion and Control (RoMoCo), Kuslin, pp. 264-269, July 3-5, 2013.
B. Pourbabaee, N. Meskin, K. Khorasani, “Sensor Fault Detection and Isolation using Multiple Robust Filters for Linear Systems with Time-Varying Parameter Uncertainty and Error Variance Constraints,” IEEE Conference on Control Applications (CCA), Juan Les Antibes, pp. 382-389, Oct. 8-10, 2014.
G. Golo, van der Schaft, Arjan, P.C. Breedveld, B.M. Maschke., “Hamiltonian Formulation of Bond Graphs,” Nonlinear and Hybrid Systems in Automotive Control, London, pp. 351-372, 2003.
G. Hirzinger, A. Albu-Schaffer, M. Hahnle, I. Schaefer, N. Sporer, “On a New Generation of Torque Controlled Light-Weight Robots,” IEEE International Conference on Robotics and Automation (ICRA), Seoul, Korea, Vol.4, pp. 3356-3363, 2001.
I. Hwang, S. Kim, C.E. Seah, “A Survey of Fault Detection, Isolation, and Reconfiguration Methods,” IEEE Transactions on Control Systems Technology, Vol. 18, No. 3, pp.636-653, 2010.
K. Emami, B. Nener. V. Sreeram, H. Trink, T. Fernando, “A Fault Detection Technique for Dynamical Systems,” IEEE Conference on Industrial and Information Systems (ICIIS), Sri Lanka, pp. 201-206, Aug. 18-20, 2013.
K. Medjaher, “ A bond graph model-based fault detection and isolation,” Maintenance Modelling and Applications, Chapter 6: Fault Diagnostics, pp. 503-512, 2011.
K.A. Samantaray, O.B. Belkacem, “Bond Graph Model-based Quantitative FDI,” Modelbased Process Supervision: A Bond Graph Approach, pp. 177-228, 2008.
M. Geravand, F. Flacco, A.D. Luca, “Human-Robot Physical Interaction and Collaboration using an Industrial Robot with a Closed Control Architecture,” IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, pp. 4000-4007, May 6-10, 2013.
M. Talebpur, M. Namvar, “Zero-Gravity Emulation of Satellites in present of Uncalibrated Sensors and Model Uncertainties,” IEEE Conference on Control Applications & Intelligent Control, Saint Petersburg, pp.1063-1068, July 8-10, 2009.
M.A. Djeziri, R. Merzouki B.O. Bunamama, D.T. Genevieve, “Robust Fault Diagnosis by Using Bond Graph Approach,” IEEE Transactions on Mechatronics, Vol.12, No. 6, pp.599611, 2007.
R. Loureiro, R. Merzouki, B.O. Bouamama, “Bond Graph Model Based on Structural Diagnosability and Recoverability Analysis: Application to Intelligent Autonomous Vehicles,” IEEE Transactions on Vehicular Technology, Vol. 61, No. 3, pp. 986-997, 2012.
R. Loureiro, S. Benmoussa, Y. Touati, R. Merzouki, B.O. Bouamama, “ Integration of Fault Diagnosis and Fault-Tolerant Control for Health Monitoring of a Class of MIMO Intelligent Autonomous Vehicles,” IEEE Transactions on Vehicular Technology, Vol. 63, No. 1, pp.3039, 2014.
R.J. Wang, H.P. Huang, “An Active-Passive Variable Stiffness Elastic Actuator for Safety Robot Systems,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, pp. 3664-3669, Oct. 18-22, 2010.
S. Benmoussa, B.O. Bouamama, R. Merzouki, “Bond Graph Approach for Plant Fault Detection and Isolation: Application to Intelligent Autonomous Vehicle,” IEEE Transactions on Automation Science and Engineering, Vol.11, No.2, pp.585-593, 2014.
V. Venkatasubramanian , R. Rengaswamy , K. Yin and S. N. Kavuri "A review of process fault detection and diagnosis part I: Quantitative model-based methods,” Computer and Chemical Engineering, Vol. 27, pp.293 -311, 2003.
V. Venkatasubramanian , R. Rengaswamy , K. Yin and S. N. Kavuri "A review of process fault detection and diagnosis part II: Qualitative models and search strategies,” Computer and Chemical Engineering, Vol. 27, pp.313 -326, 2003.
V. Venkatasubramanian , R. Rengaswamy , K. Yin and S. N. Kavuri "A review of process fault detection and diagnosis part III: Process history based methods,” Computer and Chemical Engineering, Vol. 27, pp.327 -346, 2003.
W. Bouallegue, S.B. Bouabdallah, M. Tagina, “A new adaptive fuzzy FDI method for bond graph uncertain parameters systems,” IEEE International Conference on Electronics, Circuits and Systems (ICECS), Beirut, pp.643-648, Dec. 11-14, 2011.
W. Bouallegue, S.B. Bouabdallah, M. Tagina, “Causal approaches and fuzzy logic in FDI of bond graph uncertain parameters systems,” International Conference on Communications, Computing and Control Applications (CCCA), Hammamet, pp.1-6, Mar. 3-5, 2011.
Y. Touati, R. Merzouki, B.O. Bouamama, “Robust Diagnosis to Measurement Uncertainties using Bond Graph Approach: Application to Intelligent Autonomous Vehicle,” Mechatronics, Vol.22, No.8, pp. 1148-1160, 2012.
Mr. Po-Jen Cheng
National Taiwan Univerisy - Taiwan
u9014028@gmail.com
Professor Han-Pang Huang
National Taiwan Univerisy - Taiwan


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