Design of Interval Type 2 Fuzzy Fault-Tolerant Controller for a Non-Minimum Phase System: Application to quadruple conical tank system
- DOI
- 10.2991/eusflat-19.2019.51How to use a DOI?
- Keywords
- Actuator fault Fault-tolerant control Quadruple Conical Tank System non-minimum phase system system component fault interval type 2 fuzzy control
- Abstract
Quadruple Conical Tank System (QCTS) is benchmark a laboratory setup for testing of various linear and nonlinear control algorithms for the multivariate control system. The multiple process conguration for multivariate input-output can be obtained from quadruple conical tank system. This article is concerned with designing a novel Fault- Tolerant Control (FTC) using Interval Type 2 Fuzzy Control (IT2FLC) subject to actuator and system component (Leak) faults. Additionally, the paper explores the pen loop response with given operating points of quadruple conical tank system linearized model for non-minimum phase conguration obtained from MATLAB. The proposed control design the method is simulated on the prototype model of quadruple conical tank process for non-minimum phase conguration. The performance of the proposed controller is studied through extensive simulations with regulatory and servo responses. Through comparative studies of the proposed controller with other model based H1, LQR, 2 DoF Decentralized PI Controller and model-free Type 1 Fuzzy Logic controller (T1FLC) responses in MATLAB simulation environment, the eect of interaction, coupling, time variations and change in the dynamic behavior of QCTS con- rmed.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Himanshukumar Patel AU - Vipul Shah PY - 2019/08 DA - 2019/08 TI - Design of Interval Type 2 Fuzzy Fault-Tolerant Controller for a Non-Minimum Phase System: Application to quadruple conical tank system BT - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) PB - Atlantis Press SP - 358 EP - 369 SN - 2589-6644 UR - https://doi.org/10.2991/eusflat-19.2019.51 DO - 10.2991/eusflat-19.2019.51 ID - Patel2019/08 ER -