Fault-Tolerant Control Study and Classification: Case Study of a Hydraulic-Press Model Simulated in Real-Time
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Fault-Tolerant Control Study and Classification: Case Study of a Hydraulic-Press Model Simulated in Real-Time

Authors: Jorge Rodriguez-Guerra, Carlos Calleja, Aron Pujana, Iker Elorza, Ana Maria Macarulla


Society demands more reliable manufacturing processes capable of producing high quality products in shorter production cycles. New control algorithms have been studied to satisfy this paradigm, in which Fault-Tolerant Control (FTC) plays a significant role. It is suitable to detect, isolate and adapt a system when a harmful or faulty situation appears. In this paper, a general overview about FTC characteristics are exposed; highlighting the properties a system must ensure to be considered faultless. In addition, a research to identify which are the main FTC techniques and a classification based on their characteristics is presented in two main groups: Active Fault-Tolerant Controllers (AFTCs) and Passive Fault-Tolerant Controllers (PFTCs). AFTC encompasses the techniques capable of re-configuring the process control algorithm after the fault has been detected, while PFTC comprehends the algorithms robust enough to bypass the fault without further modifications. The mentioned re-configuration requires two stages, one focused on detection, isolation and identification of the fault source and the other one in charge of re-designing the control algorithm by two approaches: fault accommodation and control re-design. From the algorithms studied, one has been selected and applied to a case study based on an industrial hydraulic-press. The developed model has been embedded under a real-time validation platform, which allows testing the FTC algorithms and analyse how the system will respond when a fault arises in similar conditions as a machine will have on factory. One AFTC approach has been picked up as the methodology the system will follow in the fault recovery process. In a first instance, the fault will be detected, isolated and identified by means of a neural network. In a second instance, the control algorithm will be re-configured to overcome the fault and continue working without human interaction.

Keywords: Fault-tolerant control, electro-hydraulic actuator, fault detection and isolation, control re-design, real-time.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2580952

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[1] A. Vargas Martinez and L. E. Garza Castaon, Artificial Intelligence Methods in Fault tolerant Control. 2014.
[2] M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki, Diagnosis and fault-tolerant control, third edition. 2016.
[3] M. Karpenko and N. Sepehri, Hardware-in-the-loop simulator for research on fault tolerant control of electrohydraulic actuators in a flight control application, Mechatronics, vol. 19, no. 7, pp. 10671077, 2009.
[4] M. J. Morshed and A. Fekih, A Fault-Tolerant Control Paradigm for Microgrid-Connected Wind Energy Systems, IEEE Systems Journal, vol. 12, no. 1, pp. 360372, 2018.
[5] J. I. Leon, S. Kouro, L. G. Franquelo, J. Rodriguez, and B. Wu, The Essential Role and the Continuous Evolution of Modulation Techniques for Voltage-Source Inverters in the Past, Present, and Future Power Electronics, IEEE Transactions on Industrial Electronics, vol. 63, no. 5, pp. 26882701, 2016.
[6] J. Lunze and J. Richter, Control Reconfiguration: Survey of Methods and Open Problems, Research report of Institute of Automation and Computer Control Ruhr-Universit/at Bochum, Germany, 2006
[7] S. X. Ding, Model-based fault diagnosis techniques: Design schemes, algorithms, and tools. 2008.
[8] E. Tuci, M. H. M. Alkilabi, and O. Akanyeti, Cooperative object transport in multi-robot systems: A review of the state-of-the-art, Frontiers Robotics AI, vol. 5, no. MAY, 2018.
[9] Wangguang, Z. Wang, D. Wang, Y. Li, and M. Li, A review on fault-tolerant control of PMSM, presented at the Proceedings - 2017 Chinese Automation Congress, CAC 2017, vol. 2017-January, pp. 38543859, 2017.
[10] J.-X. Zhang and G.-H. Yang, Prescribed performance fault-tolerant control of uncertain nonlinear systems with unknown control directions, IEEE Transactions on Automatic Control, vol. 62, no. 12, pp. 65296535, 2017.
[11] M. Van, S. S. Ge, and H. Ren, Finite Time Fault Tolerant Control for Robot Manipulators Using Time Delay Estimation and Continuous Nonsingular Fast Terminal Sliding Mode Control, IEEE Transactions on Cybernetics, vol. 47, no. 7, pp. 16811693, 2017.
[12] F. Xiao, W. Liu, Z. Li, L. Chen, and R. Wang, Noise-Tolerant Wireless Sensor Networks Localization via Multinorms Regularized Matrix Completion, IEEE Transactions on Vehicular Technology, vol. 67, no. 3, pp. 24092419, 2018.
[13] O. Goloubeva, M. Rebaudengo, M. Sonza Reorda, and M. Violante, Improved software-based processor control-flow errors detection technique, presented at the Proceedings - Annual Reliability and Maintainability Symposium, pp. 583589, 2005.
[14] D. Zhang, Z. Wang, and S. Hu, Robust satisfactory fault-tolerant control of uncertain linear discrete-time systems: An LMI approach, International Journal of Systems Science, vol. 38, no. 2, pp. 151165, 2007.
[15] D. Rotondo, F. Nejjari, and V. Puig, Passive and active FTC comparison for polytopic LPV systems, presented at the 2013 European Control Conference, ECC 2013, pp. 29512956, 2013.
[16] M. Staroswiecki and D. Berdjag, Passive/active fault tolerant control for LTI systems with actuator outages, presented at the 2009 European Control Conference, ECC 2009, pp. 25062511, 2014.
[17] A.-R. Merheb, F. Bateman, and H. Noura, Passive and active fault tolerant control of octorotor UAV using Second Order Sliding Mode control, presented at the 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings, pp. 19071912, 2015.
[18] S. Simani, S. Alvisi, and M. Venturini, Fault tolerant model predictive control applied to a simulated hydroelectric system, presented at the Conference on Control and Fault-Tolerant Systems, SysTol, vol. 2016-November, pp. 251256, 2016.
[19] M. Khatibi and M. Haeri, A unified framework for passiveactive fault-tolerant control systems considering actuator saturation and L disturbances, 2017.
[20] K. Ding, A. Morozov, and K. Janschek, Classification of hierarchical fault-tolerant design patterns, presented at the Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017, vol. 2018-January, pp. 612619, 2018.
[21] A. D. D. Corcuera, A. Pujana-Arrese, J. M. Ezquerra, E. Segurola, and J. Landaluze, Wind turbine load mitigation based on multivariable robust control and blade root sensors, presented at the Journal of Physics: Conference Series, vol. 555, 2014.
[22] A. D. D. Corcuera, A. Pujana-Arrese, J. M. Ezquerra, E. Segurola, and J. Landaluze, H based control for load mitigation in wind turbines, Energies, vol. 5, no. 4, pp. 938967, 2012.
[23] I. M. Jaimoukha, Z. Li, and V. Papakos, A matrix factorization solution to the H- / H fault detection problem, Automatica, vol. 42, no. 11, pp. 19071912, 2006.
[24] S. Dey, P. Pisu, and B. Ayalew, A Comparative Study of Three Fault Diagnosis Schemes for Wind Turbines, IEEE Transactions on Control Systems Technology, vol. 23, no. 5, pp. 18531868, 2015.
[25] A. Mirzaee and K. Salahshoor, Fault diagnosis and accommodation of nonlinear systems based on multiple-model adaptive unscented Kalman filter and switched MPC and H-infinity loop-shaping controller, Journal of Process Control, vol. 22, no. 3, pp. 626634, 2012.
[26] A. D. D. Corcuera, A. Pujana-Arrese, J. M. Ezquerra, A. Milo, and J. Landaluze, Linear models-based LPV modelling and control for wind turbines, Wind Energy, vol. 18, no. 7, pp. 11511168, 2015.
[27] A. D. D. Corcuera, A. Pujana-Arrese, J. M. Ezquerra, E. Segurola, and J. Landaluze, Linear models based LPV (Linear Parameter Varying) controls for wind turbines, presented at the European Wind Energy Conference and Exhibition, EWEC 2013, vol. 1, pp. 311317, 2013.
[28] D. Zhang, Z. Wang, and S. Hu, Robust satisfactory fault-tolerant control of uncertain linear discrete-time systems: An LMI approach, International Journal of Systems Science, vol. 38, no. 2, pp. 151165, 2007.
[29] R. Sakthivel, M. Joby, C. Wang, and B. Kaviarasan, Finite-time fault-tolerant control of neutral systems against actuator saturation and nonlinear actuator faults, Applied Mathematics and Computation, vol. 332, pp. 425436, 2018.
[30] R. Sakthivel, C. K. Ahn, and M. Joby, Fault-Tolerant Resilient Control For Fuzzy Fractional Order Systems, 2018.
[31] J. Stoustrup and V. D. Blondel, A simultaneous stabilization approach to (Passive) fault tolerant control, presented at the Proceedings of the American Control Conference, vol. 2, pp. 18171822, 2004.
[32] J. Stoustrup and V. D. Blondel, Fault Tolerant Control: A Simultaneous Stabilization Result, IEEE Transactions on Automatic Control, vol. 49, no. 2, pp. 305310, 2004.
[33] H. Niemann, A model-based approach for fault-tolerant control, presented at the Conference on Control and Fault-Tolerant Systems, SysTol10 - Final Program and Book of Abstracts, pp. 481492, 2010.
[34] H. Niemann and N. K. Poulsen, Control switching in high performance and fault tolerant control, presented at the Proceedings of the 2010 American Control Conference, ACC 2010, pp. 62056209, 2010.
[35] H. Niemann and N. K. Poulsen, Fault tolerant control - A residual based set-up, presented at the Proceedings of the IEEE Conference on Decision and Control, pp. 84708475, 2009.
[36] C. J. Lopez-Toribio, R. J. Patton, and S. Daley, Supervisory fault tolerant system using fuzzy multiple inference modelling, presented at the European Control Conference, ECC 1999 - Conference Proceedings, pp. 43814386, 2015.
[37] S. Kabir, M. Walker, and Y. Papadopoulos, Quantitative evaluation of Pandora temporal fault trees via Petri Nets, IFAC-PapersOnLine, vol. 28, no. 21, pp. 458463, 2015.
[38] S. K. Ghoshal and A. K. Samantaray, Multiple fault disambiguations through parameter estimation: a bond graph model-based approach, International Journal of Intelligent Systems Technologies and Applications, vol. 5, no. 12, pp. 166184, 2008.
[39] M. Schulte, Model-based integration of reusable component-based avionics systems - A case study, presented at the Proceedings - Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, ISORC 2005, vol. 2005, pp. 6271, 2005.
[40] D. Zumoffen and M. Basualdo, From large chemical plant data to fault diagnosis integrated to decentralized fault-tolerant control: Pulp mill process application, Industrial and Engineering Chemistry Research, vol. 47, no. 4, pp. 12011220, 2008.
[41] D. Zumoffen and D. Feroldi, Analyzing plant-wide control structures for industrial processes, in Process Control: Theory, Applications and Challenges, pp. 2768, 2014.
[42] N. Hadroug, A. Hafaifa, N. Batel, A. Kouzou, and A. Chaibet, Active fault tolerant control based on a neuro fuzzy inference system applied to a two shafts gas turbine, 2018.
[43] H. Ma, Q. Zhou, L. Bai, and H. Liang, Observer-Based Adaptive Fuzzy Fault-Tolerant Control for Stochastic Nonstrict-Feedback Nonlinear Systems With Input Quantization, 2018.
[44] W. Ren, H. Yang, B. Jiang, and M. Staroswiecki, Fault recoverability analysis of switched nonlinear systems, International Journal of Systems Science, vol. 48, no. 3, pp. 471484, 2017.
[45] H. Yang, H. Li, B. Jiang, and V. Cocquempot, Fault Tolerant Control of Switched Systems: A Generalized Separation Principle, 2018.
[46] Y. Liu, H. Ma, and H. Ma, Adaptive Fuzzy Fault-Tolerant Control for Uncertain Nonlinear Switched Stochastic Systems with Time-Varying Output Constraints, 2018.
[47] D. Zhai, C. Xi, J. Dong, and Q. Zhang, Adaptive Fuzzy Fault-Tolerant Tracking Control of Uncertain Nonlinear Time-Varying Delay Systems, 2018.
[48] R. Khan, P. Williams, P. Riseborough, A. Rao, and R. Hill, Fault detection and identificationA filter investigation, International Journal of Robust and Nonlinear Control, vol. 28, no. 5, pp. 18521870, 2018.
[49] L. Ferranti, Y. Wan, and T. Keviczky, Fault-tolerant reference generation for model predictive control with active diagnosis of elevator jamming faults, 2018.
[50] J. Lunze and J. H. Richter, Reconfigurable fault-tolerant control: A tutorial introduction, European Journal of Control, vol. 14, no. 5, pp. 359386, 2008.
[51] M. Staroswiecki and A. Moradi, Fault tolerance of distributed systems by information pattern reconfiguration in the publisher/subscriber communication scheme, presented at the 2014 European Control Conference, ECC 2014, pp. 19751980, 2014.
[52] Y. Salwa, B. Saida, and A. Kamel, Estimation and compensation of sensor fault for perturbed PWA systems, presented at the 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings, pp. 214216, 2017.
[53] M. Nazzal and H. Ozkaramanli, Directionally-structured dictionary learning and sparse representation based on subspace projections, presented at the 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, pp. 16061610, 2015.
[54] M. Kaddour, M. E. E. Najjar, Z. Naja, N. A. Tmazirte, and N. Moubayed, Fault detection and exclusion for GNSS measurements using observations projection on information space, presented at the 2015 5th International Conference on Digital Information and Communication Technology and Its Applications, DICTAP 2015, pp. 198203, 2015.
[55] J. Qi, Z. Wang, and Y. Shen, Fault-tolerant control and optimal fault hiding for discrete-time linear systems, presented at the 2015 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015, pp. 13681373, 2015.
[56] J. Niguez, S. Amari, and J.-M. Faure, Fault-Tolerant Control of Discrete Event Systems: Comparison of two approaches on the same case study, presented at the IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2015-October, 2015.
[57] J. H. Richter and J. Lunze, Reconfigurable control of Hammerstein systems after actuator failures: Stability, tracking, and performance, International Journal of Control, vol. 83, no. 8, pp. 16121630, 2010.
[58] J. Richter and J. Lunze, Reconfigurable control of Hammerstein systems after actuator faults, presented at the IFAC Proceedings Volumes (IFAC-PapersOnline), vol. 17, 2008.
[59] J. Shin, S. Kim, and A. Tsourdos, Neural-networks-based Adaptive Control for an Uncertain Nonlinear System with Asymptotic Stability, 2018.
[60] M. Salimifard and H. A. Talebi, Robust output feedback fault-tolerant control of non-linear multi-agent systems based on wavelet neural networks, IET Control Theory and Applications, vol. 11, no. 17, pp. 30043015, 2017.
[61] Y. Liu, H. Ma, and H. Ma, Adaptive Fuzzy Fault-Tolerant Control for Uncertain Nonlinear Switched Stochastic Systems with Time-Varying Output Constraints, 2018.
[62] K. Sun, S. Sui, and S. Tong, Optimal adaptive fuzzy FTC design for strict-feedback nonlinear uncertain systems with actuator faults, Fuzzy Sets and Systems, vol. 316, pp. 2034, 2017.
[63] R. Abdul and R. Soundara, Adaptive dynamic genetic algorithm based node scheduling for time-triggered systems, Advances in Intelligent Systems and Computing, vol. 556, pp. 705714, 2017.
[64] J. dos Reis, C. Oliveira Costa, and J. S da Costa, Strain gauges debonding fault detection for structural health monitoring, Structural Control and Health Monitoring, vol. 25, no. 12, 2018.
[65] W. Zhang, Q. Zhao, H. Zhao, G. Zhou, and W. Feng, Diagnosing a strong-fault model by conflict and consistency, Sensors (Switzerland), vol. 18, no. 4, 2018.
[66] J. Tang, D. Wang, Y. Polyanskiy, and G. Wornell, Defect tolerance: fundamental limits and examples, 2017.
[67] M. T. Hamayun, C. Edwards, and H. Alwi, An output integral sliding mode FTC scheme using control allocation, Studies in Systems, Decision and Control, vol. 61, pp. 81101, 2016.
[68] J. Rodr/guez, C. Calleja, A. Pujana, I. Elorza, and I. Azurmendi, Real-time HiL for hydraulic press control validation, presented at the SIMULTECH 2017 - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, pp. 126133, 2017.