Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Patel, Himanshukumar* | Shah, Vipul
Affiliations: Department of Instrumentation and Control Engineering, Dharmsinh Desai University, Nadiad, India
Correspondence: [*] Corresponding author: Himanshukumar Patel, Dharmsinh Desai University, Nadiad 387001, Gujarat, India. E-mail: himanshupatel.ic@ddu.ac.in.
Abstract: The paper present efficient Fault-tolerant Control approach using Interval Type-2 Takagi-Sugeno Fuzzy Controller (IT2TSFLC) with conventional Proportional Integral (PI) controller for MIMO hybrid nonlinear level process. The implementation of control algorithms for MIMO systems is challenging due to variations in dynamics because of changing in operating point and the characteristics of nonlinear dynamic interaction. Such difficulties often deteriorate the performance of industrial MIMO process. This work develops T-S modeling of MIMO hybrid level process thereafter designed FTC using combination of knowledge base IT2TSFLC controller and model base PI controller subject to actuator and system component faults. To verify the applicability of the proposed FTC, this work presents a Two Conical Tank Interacting Level System (TCTILS) to examine the control performance. Along with, simulation results of proposed scheme is compared with Type-1 Fuzzy Logic Controller (T1FLC) and PID controller. Simulation results show that the IT2TSFLC relies a good dynamic behaviour of the TCTILS, a perfect level tracking with no overshoot, lesser settling and rise time. Two different error indices Integral Absolute Error (IAE) and Integral Square Error (ISE) are used to validate the proposed FTC scheme among two other scheme.
Keywords: Actuator fault, interval type-2 T-S fuzzy logic control, nonlinear system, MIMO system, PID controller, system component fault, Two Conical Tank Interacting Level System
DOI: 10.3233/HIS-190267
Journal: International Journal of Hybrid Intelligent Systems, vol. 15, no. 3, pp. 143-153, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl