Abstract
A novel Fault Tolerant Control (FTC) strategy is proposed based on interval type-2 Takagi-Sugeno controller and conventional PID controller, in this paper it has been presented for a nonlinear system. The main advantage of this strategy is, it can handle the faults, uncertainties in describing the nonlinear systems and give rigorous fuzzy rules. This study assesses the design of the robust controller which can tolerate the system component and actuator faults into the system and maintain the performance of the system at an acceptable level. To validate the proposed FTC strategy three-tank interacting level control system is considered. Finally, the simulation of the three-tank interacting level process model demonstrates the superiority of the proposed strategy using two integral error performance index Integral Absolute Error (IAE) and Integral Square Error (ISE).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Boskovic, J.D., Mehra, R.K.: Failure detection, identification and reconfiguration in flight control. In: Fault Diagnosis and Fault Tolerance for Mechatronic Systems. Springer, New York (2002)
Castillo, O., Melin, P.: A review on the design and optimization of interval type-2 fuzzy controllers. Appl. Soft Comput. 12, 1267–1278 (2012)
Castillo, O., Melin, P.: Type-2 Fuzzy Logic: Theory and Applications. Springer, Heidelberg (2008)
Guerra, P., Puig, V., Witczak, M.: Robust fault detection with unknown input set-membership state estimators and interval models using zonotopes. In: Proceedings of the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006, Beijing, China, pp. 1303–1308 (2006)
Patel, H.R., Shah, V.A.: Fault tolerant control systems: a passive approaches for single tank level control system. i-manager’s J. Instrum. Control Eng. 6(1), 11–18 (2018a)
Patel, H.R., Shah, V.A.: Fault detection and diagnosis methods in power generation plants-the Indian power generation sector perspective: an introductory review. J. Energy Manag. 02(02), 31–49 (2018b)
Patel, H.R., Shah, V.A.: Fuzzy logic based passive fault tolerant control strategy for a single-tank system with system fault and process disturbances. In: IEEE 5th International Conference on Electrical and Electronic Engineering (ICEEE 2018c), Istanbul, Turkey, pp. 257–262 (2018c). https://doi.org/10.1109/iceee2.2018.8391342
Patel, H.R., Shah, V.A.: A framework for fault-tolerant control for an interacting and non-interacting level control system using AI. In: Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics, ICINCO, vol. 1, pp. 180–190 (2018d). ISBN 978-989-758-321-6. https://doi.org/10.5220/0006862001800190
Patel, H.R., Shah, V.A.: A fault-tolerant control strategy for non-linear system: an application to the two tank canonical non-interacting level control system. In: Proceedings of 2nd International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER 2018), Mangalore, India, 13–14 August (2018e)
Ouyang, H., Lin, Y.: Adaptive fault-tolerant control for actuator failures: a switching strategy. Automatica 81, 87–95 (2017)
Yang, H., Jiang, B., Staroswiecki, M., Zhang, Y.: Fault recoverability and fault tolerant control for a class of interconnected nonlinear systems. Automatica 54, 49–55 (2015)
Yang, H., Staroswiecki, M., Jiang, B., Liu, J.: Fault tolerant cooperative control for a class of nonlinear multi-agent systems. Syst. Control Lett. 60(4), 271–277 (2011)
Castro, J.R., Castillo, O., Melin, P., Rodríguez-Díaz, A.: A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks. Inf. Sci. 179, 2175–2193 (2009)
Korbicz, J., Kościelny, J., Kowalczuk, Z., Choleva, W.: Fault Diagnosis: Models, Artificial Intelligence, Applications, p. 920. Springer, Berlin (2004)
Karnik, N., Mendel, J.: Introduction to type-2 fuzzy logic systems. In: Fuzzy Systems Proceedings IEEE World Congress on Computational Intelligence, vol. 2, pp. 915–920 (1998)
Liang, Q., Mendel, J.: Interval type-2 fuzzy logic systems: theory and design. IEEE Trans. Fuzzy Syst. 8(5), 535–550 (2000)
Mendel, J.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall, Upper Saddle River (2011)
Martínez, R., Castillo, O., Aguilar, L.: Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms. Inf. Sci. 179(13), 2158–2174 (2009)
Noura, H., Theilliol, D., Ponsart, J., Chamssedine, A.: Fault-tolerant control systems: design and practical applications. In: Advances in Industrial Control. Springer, London (2009)
Nandola, N., Bhartiya, S.: A multiple model approach for the predictive control of nonlinear hybrid system. J. Process Control 18, 131–148 (2008)
Puig, V.: Fault diagnosis and fault tolerant control using set-membership approaches: application to real case studies. Int. J. Appl. Math. Comput. Sci. 20(4), 619–635 (2010). https://doi.org/10.2478/v10006-010-0046-y
Patton, R.: Fault-tolerant control systems: the 1997 situation. In: Proceedings of the IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Kingston Upon Hull, UK, pp. 1033–1054 (1997)
Sudha, K.R., Santhi, R.V.: Robust decentralized load frequency control of interconnected power system with generation rate constraint using type-2 fuzzy approach. Int. J. Electr. Power Energy Syst. 33, 699–707 (2011)
Lam, H.K., Seneviratne, L.D.: Stability analysis of interval type- 2 fuzzy-model-based control systems. IEEE Trans. Syst. Man Cybern.-Part B: Cybern. 389(3), 617–628 (2008)
Wang, P.: Interval type-2 fuzzy T-S modeling for a heat exchange process on CE117 process trainer. In: Proceedings of 2011 International Conference on Modelling, Identification and Control, pp. 457–462 (2011)
Wu, D., Tan, W.: A simplified type-2 fuzzy logic controller for real-time control. ISA Trans. 45, 503–510 (2006)
Zhang, Y., Jiang, J.: Bibliographical review on reconfigurable fault-tolerant control systems. Annu. Rev. Control 32(2), 229–252 (2008)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning-1. Inf. Sci. 8, 199–249 (1975)
Yang, Y., Du, J., Liu, H., Guo, C., Abraham, A.: A trajectory tracking robust controller of surface vessels with disturbance uncertainties. IEEE Trans. Control Syst. Technol. 22(4), 1511–1518 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Patel, H., Shah, V. (2020). Fault Tolerant Control Using Interval Type-2 Takagi-Sugeno Fuzzy Controller for Nonlinear System. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-16660-1_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16659-5
Online ISBN: 978-3-030-16660-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)