A passive fault-tolerant control strategy for a non-linear system: An application to the two tank conical non-interacting level control system
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Dec 20, 2018
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In practical engineering systems, unknown actuator, sensor or system component faults frequently occur, which results from component and interconnection failures, degrade control performance, system stability, and profitability, and even arise hazardous situation. To avoid abnormal activity like faults and maintain system control performance subject to faults occurring into the system, the Fault-tolerant Control (FTC) is a realistic approach to address the unwanted situation. The two-tank conical system is widely used in chemical and food process industries because of its greater advantages. The non-interacting configuration of the two-tank conical system is highly nonlinear due to its shape and varying area of the tank thought the height of the tank, as a consequence level control of this system is extremely difficult. The paper attributes to design a Passive Fault-tolerant Control Strategy (PFTCS) for a Two-tank conical Non Interacting Level Control System (TTCNILCS) subject to the major system (leak), sensor, and actuator faults with external process disturbances. PFTC will increase system control performance and system stability acceptable level in the presence of sensor, system, and actuator faults. The simulation results demonstrate the proposed PFTC strategy has definite fault tolerant ability against the system and actuator faults also it has good disturbance rejection capability. To verify the efficacy of the proposed PFTC strategy Mean Square Error (MSE) and Root Mean Square Error (RMSE) Integral Absolute Error (IAE) indices are used.
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A passive fault-tolerant control strategy for a non-linear system: An application to the two tank conical non-interacting level control system. (2018). MASKAY, 9(1), 1-8. https://doi.org/10.24133/maskay.v9i1.1094
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Cómo citar
A passive fault-tolerant control strategy for a non-linear system: An application to the two tank conical non-interacting level control system. (2018). MASKAY, 9(1), 1-8. https://doi.org/10.24133/maskay.v9i1.1094
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[2] H. R. Patel and V. A. Shah, “Fault Detection and Diagnosis Methods in Power Generation Plants - The Indian Power Generation Sector Perspective: An Introductory Review,” PDPU Journal of Energy and Management, vol. 2, no. 2, pp. 31-49, 2018.
[3] Y. Zhang, and J. Jiang, “Bibliographical review on reconfigurable fault tolerant control systems,” Annual Review in Control, vol. 32, no. 2, pp. 229– 252, 2008.
[4] R. Patton, “Fault-tolerant control systems: The 1997 situation,” in Proc. IFAC, Safeprocess’97, Kingston Upon Hull, UK, 1997, vol. 3, pp. 1033–1054.
[5] Y. Xu, S.Tong, and Y. Li, “Adaptive fuzzy decentralised fault-tolerant control for nonlinear large-scale systems with actuator failures and unmodelled dynamics,” International Journal of Systems science, vol. 46, no. 12, pp. 2195–2209, 2015.
[6] S. Tong, T. Wang, and Y. Li, “Fuzzy adaptive actuator failure compensation control of uncertain stochastic nonlinear systems with unmodelled dynamics,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 3, pp. 563–574, 2014.
[7] S. Yin, H. Yang, H. Gao, J. Qiu, and O. Kaynak, “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.
[8] Adriana, Vargas-Martinez, and L. E. Garaza-Castañón, “Combining Artificial Intelligence and Advanced Techniques in Fault-Tolerant Control,” Journal of Applied Research and Technology, vol. 09, no. 2, pp. 202-226, 2011.
[9] M. Basin L. Li, M. Krueger, and S. Ding, “A finite-time-convergent fault-tolerant control and its experimental verification for DTS200 three-tank system,” in Proc. IEEE, International Workshop on Recent Advances in Sliding Modes (RASM), Istanbul, Turkey, 2015, pp. 1-6.
[10] M. Fuente, V. Mateo, G. I. Sainz, S. Saludes, “Adaptive Neural-based Fault Tolerant Control for Nonlinear Systems,” in Proc. IFAC, 17th IFAC World Congress, Seoul, Korea, 2008, vol. 41, no. 2, pp. 2595-2600.
[11] B. Huo, S. Tong, and Y. Li, “Observer-based adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults,” International Journal of Control Automation, vol. 10, no. 6, pp. 1119-1128, 2012.
[12] S. Tong, B. Huo, and Y. Li, “Observer-based adaptive decentralized fuzzy fault-tolerant control of nonlinear large-scale systems with actuator failures,” IEEE Transactions on Fuzzy Systems, vol. 21, no. 1, pp. 1–15, 2014.
[13] H. R. Patel and V. A. Shah, “Fault Tolerant Control Systems: A Passive Approaches for Single Tank Level Control System,” i-manager’s Journal on Instrumentation and Control Engineering, vol. 6, no. 01, pp. 11-18, 2018.
[14] P. Li, and G. Yang, “An adaptive fuzzy design for fault-tolerant control of MIMO nonlinear uncertain systems,” Journal of Control Theory and Applications, vol. 9, no. 2, pp. 244-250, 2011.
[15] P. Li, and G. Yang, “Backstepping adaptive fuzzy control of uncertain nonlinear systems against actuator faults,” Journal of Control Theory and Applications, vol. 7, no. 3, pp. 248-256, 2009.
[16] P. Li, and G. Yang, “Adaptive fuzzy control of unknown nonlinear systems with actuator failures for robust output tracking,” in Proc. IEEE, American Control Conference (ACC 2008), Seattle, WA, USA, 2008, pp. 4898-4903.
[17] D. Ye, and G. Yang, “Adaptive Fault-Tolerant Tracking Control against Actuator Faults with Application to Flight Control,” IEEE Transactions on Control Systems Technology, vol. 14, no. 6, pp.1088-1096, 2006.
[18] G. Yang and D. Ye, “Adaptive fault-tolerant H∞ control via state feedback for linear systems against actuator faults,” in Proc. IEEE, 45th IEEE Conference on Decision and Control, San Diego, CA, USA, 2006, pp. 3530-3535.
[19] L. Cao, and Y. Wang, “Fault-tolerant Control for Nonlinear Systems with Multipale Intermittent Faults and Time-varying Delays,” International Jouranl of Control, Automation and Systems, vol. 16, no. 2, pp. 609-621, 2018.
[20] J. D. Stefanovski, “Passive fault tolerant perfect tracking with additive faults,” Automatica, vol 87, pp. 432-436, 2018.
[21] X. Chun-Hua, and Y. Guang-Hong, “Decentralized adaptive fault-tolerant control for large-scale systems with external disturbances and actuator faults,” Automatica, vol. 85, pp. 83–90, 2017.
[22] H. R. Patel and V. A. Shah, “Fuzzy logic based passive fault tolerant control strategy for a single-tank system with system fault and process disturbances,” in Proc. IEEE, 5th International Conference on Electrical and Electronic Engineering (ICEEE), 3-5 May, Istanbul, Turkey,2018, pp. 257-262.
[23] N. Parikh, S. Rathore, R. Misra, and A. Markana, “A comparison between NMPC and LQG for the level control of three tank interacting system,” in Proc. IEEE, Indian Control Conference, ICC, Guwahati, India, pp. 200-205., 2017.
[24] L. Mendonca, J. M. Sousa, and J. M. Sa da Costa, “Fault accommodation of an experimental three tank system using fuzzy predictive control,” in Proc. IEEE, International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), Hong Kong, China, 2008, pp. 1619–1625.
[25] M. Capiluppi and A. Paoli, “Distributed fault tolerant control of the two tank system benchmark,” in Proc. IEEE, 44th IEEE Conference on Decision and Control, Seville, Spain, 2005, pp. 7674-7679.
[26] B. W. Bequette, “Process Control Modeling, Design and Simulation, 1st edition, Prentice Hall, USA, 2003.
[27] H. R. Patel and V. A. Shah, “A Framework for Fault-tolerant Control for an Interacting and Non-interacting Level Control System using AI,” in Proc. SCITEPRESS, 15th International Conference on Informatics in Control, Automation and Robotics-Volume-1,Porto, Portugal, SCITEPRESS, 2018, pp. 180-190.
[28] D. Jianqiu and H. Cui, “The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory,” Journal of Computers, vol. 6, no. 3, pp. 514-523, 2011.
[29] L. Mastacan, and C. Dosoftei, “Level Fuzzy Control of Three-Tank System,” International Conference on Control Systems and Computer Science (CSCS), pp 30-35, 2013.
[30] M. Sarailooa, Rahmanib. Z, B Rezaieb. “A novel model predictive control scheme based on Bees algorithm in a class of nonlinear systems: Application to a three tank system,” Neurocomputing, vol. 152, pp. 294-304, 2015.
[31] H. Sahu, and R. Ayyagari, “Interval Fuzzy Type-II Controller for the Level Control of a Three Tank System,” IFAC-PapersOnLine, vol. 49, no. 1, pp. 561-566, 2016.
[32] K. Srinivasan, J. Devassy, S. Dhanapal, “Level control of three-tank system using intelligent techniques,” International Journal of Image Mining, vol. 2, no. 3-4, pp. 318-328, 2017.
[33] Castillo, O., Cervantes, L., Melin, P. et al. “A new approach to control of multivariable systems through a hierarchical aggregation of fuzzy controllers,” Granular Computing, pp. 1-13, 2018.