A Survey on Adaptive Fault Tolerant and Control Strategy Techniques for Power Electronic Traction Transformer
| International Journal of Electrical and Electronics Engineering |
| © 2025 by SSRG - IJEEE Journal |
| Volume 12 Issue 10 |
| Year of Publication : 2025 |
| Authors : G. Roopa, Suresh H L |
How to Cite?
G. Roopa, Suresh H L, "A Survey on Adaptive Fault Tolerant and Control Strategy Techniques for Power Electronic Traction Transformer," SSRG International Journal of Electrical and Electronics Engineering, vol. 12, no. 10, pp. 136-156, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I10P111
Abstract:
Among such disruptive technologies is the Power Electronic Traction Transformer (PETT) that not only challenges the traditional transformers but also offers many additional practical benefits, such as high efficiency, modularity, miniaturization, etc. These advantages position PETT as a transformative solution for modern electrical systems, enabling enhanced performance in various applications, including renewable energy integration and innovative grid implementations. As the demand for efficient power management continues to rise, the adoption of this technology is likely to accelerate, fostering innovations across the energy sector. However, fault tolerance and control, both important for reliability and operational stability, are fundamental challenges to the broad use of this technique. This survey covers the large body of adaptive fault-tolerant practices and control systems tailored to the PETT to address its special challenges. According to the paper, PETT is introduced and discussed with a focus on its architecture, internal working principles, and applications to a broad range of scenarios, including renewable energy integration, smart grids, and others. A DRILL-down of frequent fault classes in PETT is established, including thermal faults, open-circuit faults, and short-circuit faults. Furthermore, this taxonomy exposes the trust identifier faults and challenges concerning detection and resolution. The survey reports adaptive fault-tolerant methods (self-healing systems), out-of-the-box real-time Fault Detection and Isolation (FDI), recent state-of-the-art methods, and their adaptive reconfiguration. On the other hand, the paper surveys control methods based on voltage control, current control, and frequency control, and the new methods by way of model predictive control, neural network-based control, and adaptive sliding mode control. The survey combines these approaches to emphasize the complementarities between fault tolerance and control schemes and their combined effect on PETT reliability and performance. Recently, however, the potential applications of artificial intelligence and machine learning techniques on PETT domains are also described, indicating transformative capability to address issues related to fault management and control schemes. The article concludes with a summary of research limitations and recommendations on research investigations aimed at promoting the amenability and robustness of PETT. In general, this survey is helpful for researchers and industry players to innovate and design robust solutions that are sensitive to the technology of power electronic transformers.
Keywords:
Power Electronic Traction Transformer (PETT), Adaptive Fault Tolerance, Control Strategies, Fault Detection and Isolation (FDI), Artificial Intelligence in Power Systems.
References:
[1] R.F. Stengel, “Intelligent Failure-Tolerant Control,” IEEE Control Systems Magazine, vol. 11, no. 4, pp. 14-23, 1991.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Ron J. Patton, “Fault-Tolerant Control: The 1997 Situation,” IFAC Proceedings Volumes, vol. 30, no. 18, pp. 1029-1051, 1997.
[CrossRef] [Google Scholar] [Publisher Link]
[3] J. Lunze, and J.H. Richter, “Reconfigurable Fault-Tolerant Control: A Tutorial Introduction,” European Journal of Control, vol. 14, no. 5, pp. 359-386, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Halim Alwi, Christopher Edwards, and Chee Pin Tan, Fault Tolerant Control and Fault Detection and Isolation, 1st ed., Fault Detection and Fault-Tolerant Control Using Sliding Modes, London, pp. 7-27, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Youmin Zhang, and Jin Jiang, “Bibliographical Review on Reconfigurable Fault-Tolerant Control Systems,” Annual Reviews in Control, vol. 32, no. 2, pp. 229-252, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Jin Jiang, and Xiang Yu, “Fault-Tolerant Control Systems: A Comparative Study between Active and Passive Approaches,” Annual Reviews in Control, vol. 36, no. 1, pp. 60-72, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Xiang Yu, and Jin Jiang, “A Survey of Fault-Tolerant Controllers Based on Safety-Related Issues,” Annual Reviews in Control, vol. 39, pp. 46-57, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Thomas Moor, “A Discussion of Fault-Tolerant Supervisory Control in Terms of Formal Languages,” Annual Reviews in Control, vol. 41, pp. 159-169, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Afef Fekih, “Fault Diagnosis and Fault Tolerant Control Design for Aerospace Systems: A Bibliographical Review,” 2014 American Control Conference, Portland, USA, pp. 1286-1291, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Shen Yin et al., “A Review on Recent Development of Spacecraft Attitude Fault Tolerant Control System,” IEEE Transactions on Industrial Electronics, vol. 63, no. 5, pp. 3311-3320, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Xin Qi et al., “A Review on Fault Diagnosis and Fault Tolerant Control Methods for Single-Rotor Aerial Vehicles,” Journal of Intelligent and Robotic Systems, vol. 73, pp. 535-555, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Campos-Delgado, Espinoza-Trejo, and E. Palacios, “Fault-Tolerant Control in Variable Speed Drives: A Survey,” IET Electric Power Applications, vol. 2, no. 2, pp. 121-134, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[13] M. Bourogaoui, H. Ben Attia Sethom, and I. Slama Belkhodja, “Speed/Position Sensor Fault Tolerant Control in Adjustable Speed Drives-A Review,” ISA Transactions, vol. 64, pp. 269-284, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Dhanup S. Pillai, and N. Rajasekar, “A Comprehensive Review on Protection Challenges and Fault Diagnosis in PV Systems,” Renewable and Sustainable Energy Reviews, vol. 91, pp. 18-40, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Yantao Song, and Bingsen Wang, “Survey on Reliability of Power Electronic Systems,” IEEE Transactions on Power Electronics, vol. 28, no. 1, pp. 591-604, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Behrooz Mirafzal, “Survey of Fault-Tolerance Techniques for Three-Phase Voltage Source Inverters,” IEEE Transactions on Industrial Electronics, vol. 61, no. 10, pp. 5192-5202, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Zhiwei Gao, Carlo Cecati, and Steven X. Ding, “A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part I: Fault Diagnosis with Model-Based and Signal-Based Approaches,” IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 3757-3767, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Zhiwei Gao, Carlo Cecati, and Steven X. Ding. “A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches,” IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 3768-3774, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Arman Sargolzaei, Kang K. Yen, and Mohamed N. Abdelghani, “Preventing Time-Delay Switch Attack on Load Frequency Control in Distributed Power Systems,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 1176-1185, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Guillaume Ducard, and Hans P. Geering, “Efficient Nonlinear Actuator Fault Detection and Isolation System for Unmanned Aerial Vehicles,” Journal of Guidance Control and Dynamics, vol. 31, no. 1, pp. 225-237, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Alireza Abbaspour et al., “Detection of Fault Data Injection Attack on UAV Using Adaptive Neural Network,” Procedia Computer Science, vol. 95, pp. 193-200, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Wei Ao, Yongdong Song, and Changyun Wen, “Adaptive Cyber-Physical System Attack Detection and Reconstruction with Application to Power Systems,” IET Control Theory and Application, vol. 10, no. 12, pp. 1458-1468, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Ruilong Deng, Gaoxi Xiao, and Rongxing Lu, “Defending Against False Data Injection Attacks on Power System State Estimation,” IEEE Transactions on Industrial Informatics, vol. 13, no. 1, pp. 198-207, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Meysam Ghanavati, Animesh Chakravarthy, and Prathyush P. Menon, “Analysis of Automotive Cyber-Attacks on Highways using Partial Differential Equation Models,” IEEE Transactions on Control of Network Systems, vol. 5, no. 4, pp. 1775-1786, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Arman Sargolzaei et al., “Generalized Attack Model for Networked Control Systems, Evaluation of Control Methods,” Intelligent Control and Automation, vol. 8, no. 3, pp. 164-174, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Alireza Abbaspour, Arman Sargolzaei, and Kang Yen, “Detection of False Data Injection Attack on Load Frequency Control in Distributed Power Systems,” 2017 North American Power Symposium (NAPS), Morgantown, WV, USA, pp. 1-6, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Arman Sargolzaei et al., “Detection and Mitigation of False Data Injection Attacks in Networked Control Systems,” IEEE Transactions on Industrial Informatics, vol. 16, no. 6, pp. 4281-4292, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Fisher, James Robert, “Aircraft Control Using Nonlinear Dynamic Inversion in Conjunction with Adaptive Robust Control,” Ph.D. Thesis, Texas A&M University, Uvalde, TX, USA, 2005.
[Google Scholar] [Publisher Link]
[29] Frank W. Burcham et al., Using Engine Thrust for Emergency Flight Control: MD-11 and B-747 Results, 1998. [Online]. Available: https://ntrs.nasa.gov/citations/19980148010
[30] Frank W. Burcham et al., Manual Manipulation of Engine Throttles for Emergency Flight Control, 2004. [Online]. Available: https://ntrs.nasa.gov/citations/20040021348
[31] Behrooz Safarinejadian, and Elham Kowsari, “Fault Detection in Non-Linear Systems based on GP-EKF and GP-UKF Algorithms,” Systems Science and Control Engineering, vol. 2, no. 1, pp. 610-620, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Bekheïra Tabbache et al., “A Control Reconfiguration Strategy for Post-Sensor FTC in Induction Motor-Based Evs,” IEEE Transactions on Vehicular Technology, vol. 62, no. 3, pp. 965-971, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Guoguang Zhang et al., “Active Fault-Tolerant Control for Electric Vehicles with Independently Driven Rear In-Wheel Motors Against Certain Actuator Faults,” IEEE Transactions on Control Systems Technology, vol. 24, no. 5, pp. 1557-1572, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Andrea Cristofaro, and Tor Arne Johansen, “Fault Tolerant Control Allocation using Unknown Input Observers,” Automatica, vol. 50, no. 7, pp. 1891-1897, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Mou Chen, Peng Shi, and Cheng-Chew Lim, “Adaptive Neural Fault-Tolerant Control of A 3-DOF Model Helicopter System,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 2, pp. 260-270, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Xiao-Jian Li, and Guang-Hong Yang, “Neural-Network-Based Adaptive Decentralized Fault-Tolerant Control for a Class of Interconnected Nonlinear Systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 1, pp. 144-155, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Alireza Abbaspour, Arman Sargolzaei, and Kang K. Yen, “A Neural Network Based Resilient Control Design for Distributed Power Systems Under Faults and Attacks,” 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I and CPS Europe), Palermo, Italy, pp. 1-6, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Hui Gao, Yongduan Song, and Changyun Wen, “Backstepping Design of Adaptive Neural Fault-Tolerant Control for MIMO Nonlinear Systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 11, pp. 2605-2613, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Shen Yin et al., “An Adaptive NN-Based Approach for Fault-Tolerant Control of Nonlinear Time-Varying Delay Systems with Unmodeled Dynamics,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 8, pp. 1902-1913, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[40] Afef Fekih, “Fault Tolerant Control Design for Complex Systems: Current Advances and Open Research Problems,” 2015 IEEE International Conference on Industrial Technology (ICIT), Seville, Spain, pp. 1007-1012, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[41] H. Alwi et al., “Fault Tolerant Sliding Mode Control Design with Piloted Simulator Evaluation,” Journal of Guidance, Control, and Dynamics, vol. 31, no. 5, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[42] Qinglei HU et al., “Adaptive Integral-Type Sliding Mode Control for Spacecraft Attitude Maneuvering Under Actuator Stuck Failures,” Chinese Journal of Aeronautics, vol. 24, no. 1, pp. 32-45, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Rongrong Wang, and Junmin Wang, “Passive Actuator Fault-Tolerant Control for a Class of Overactuated Nonlinear Systems and Applications to Electric Vehicles,” IEEE Transactions on Vehicular Technology, vol. 62, no. 3, pp. 972-985, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Z. Yang, M. Blanke, and M. Verhaegen, “Robust Control Mixer Method for Reconfigurable Control Design using Model Matching,” IET Control Theory and Application, vol. 1, no. 1, pp. 349-357, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[45] Marcel Staroswiecki, Hao Yang, and Bin Jiang, “Progressive Accommodation of Parametric Faults in Linear Quadratic Control,” Automatica, vol. 43, no. 12, pp. 2070-2076, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Huai-Ning Wu, “Reliable LQ Fuzzy Control for Continuous-Time Nonlinear Systems with Actuator Faults,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 34, no. 4, pp. 1743-1752, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[47] Samir Zeghlache, Kamel Kara, and Djamel Saigaa, “Fault Tolerant Control based on Interval Type-2 Fuzzy Sliding Mode Controller for Coaxial Trirotor Aircraft,” ISA Transactions, vol. 59, pp. 215-231, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[48] M. Benosman, and K.Y. Lum., “Passive Actuators’ Fault-Tolerant Control for Affine Nonlinear Systems,” IEEE Transactions on Control Systems Technology, vol. 18, no. 1, pp. 152-163, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[49] Tor A. Johansen, and Thor I. Fossen, “Control Allocation-A Survey,” Automatica, vol. 49, no. 5, pp. 1087-1103, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Zhanshan Wang et al., “Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 5, pp. 611-622, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[51] Alireza Abbaspour et al., “Resilient Control Design for Load Frequency Control System under False Data Injection Attacks,” IEEE Transactions on Industrial Electronics, vol. 67, no. 9, pp. 7951-7962, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[52] Patrizio Colaneri, “Dwell Time Analysis of Deterministic and Stochastic Switched Systems,” European Journal of Control, vol. 15, pp. 228-248, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[53] L.I. Allerhand, and U. Shaked, “Robust Switching-Based Fault-Tolerant Control,” IEEE Transactions on Automatic Control, vol. 60, no. 8, pp. 2272-2276, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[54] Hao Yang, Bin Jiang, and Marcel Staroswiecki, “Supervisory Fault-Tolerant Control for a Class of Uncertain Nonlinear Systems,” Automatica, vol. 45, no. 10, pp. 2319-2324, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[55] Xiaodong Zhang, Marios M. Polycarpou, and Thomas Parisini, “Adaptive Fault Diagnosis and Fault-Tolerant Control of MIMO Nonlinear Uncertain Systems,” International Journal of Control, vol. 83, no. 5, pp. 1054-1080, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[56] S. Perk et al., “An Adaptive Fault-Tolerant Control Framework with Agent-based Systems,” International Journal of Robust and Nonlinear Control, vol. 22, no. 1, pp. 43-67, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[57] Hojjat A. Izadi, Brandon W. Gordon, and Youmin Zhang, “Hierarchical Decentralized Receding Horizon Control of Multiple Vehicles with Communication Failures,” IEEE Transactions on Aerospace and Electronic Systems, vol. 49, no. 2, pp. 744-759, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[58] Hamed Habibi, Ian Howard, and Silvio Simani, “Reliability Improvement of Wind Turbine Power Generation using Model-Based Fault Detection and Fault-Tolerant Control: A Review,” Renewable Energy, vol. 135, pp. 877-896, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[59] Kebina Manandhar et al., “Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid using Kalman Filter,” IEEE Transactions on Control of Network Systems, vol. 1, no. 4, pp. 370-379, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[60] Jianqiang Liu, and Nan Zhao, “Improved Fault-Tolerant Method and Control Strategy based on Reverse Charging for the Power Electronic Traction Transformer,” IEEE Transactions on Industrial Electronics, vol. 65, no. 3, pp. 2672-2682, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[61] J. Aditya Khatokar et al., “A Study on Improved Methods in Micro-Electromechanical Systems Technology,” Materials Today: Proceedings, vol. 43, pp. 3784-3790, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[62] Ajay Sudhir Bale et al., “Nanosciences Fostering Cross Domain Engineering Applications,” Materials Today: Proceedings, vol. 43, pp. 3428-3431, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[63] Ajay Sudhir Bale et al., “Improving the 8T SRAM Cell Design for Fault Tolerance and Power Efficiency,” 2024 Asian Conference on Intelligent Technologies (ACOIT), Kolar, India, pp. 1-6, 2024.
[CrossRef] [Google Scholar ] [Publisher Link]

10.14445/23488379/IJEEE-V12I10P111