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.
Issue title: Special Section: Intelligent tools and techniques for signals, machines and automation
Guest editors: Smriti Srivastava, Hasmat Malik and Rajneesh Sharma
Article type: Research Article
Authors: Kumar, Jitendra; * | Kumar, Vineet | Rana, K.P.S.
Affiliations: Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India
Correspondence: [*] Corresponding author. Jitendra Kumar, ICE Division, NSIT, Sector-3, Dwarka, New Delhi, University of Delhi, New Delhi 110078, India. Tel.: +91 11 25099022; Fax: +91 11 25000057; E-mail: singhjitendra86@gmail.com.
Abstract: In this paper, a robust fractional order fuzzy proportional derivative plus fractional order integrator (FOFPD+FOI) control structure is proposed to effectively control a nonlinear, coupled, multi-input multi-output, electrically driven three-link rigid robotic manipulator (EDRRM) system. The FOFPD+FOI controller is realized by using non-integer order differentiator and integrating operators in the integer order fuzzy proportional derivative plus integer order integrator (IOFPD+IOI) controller. A comparative study is carried out to assessed the performance of FOFPD+FOI controller with IOFPD+IOI controller, fractional order proportional, integral and derivative (FOPID) controller and integer order PID controller for reference trajectory tracking, noise suppression, disturbance rejection and model uncertainty. The gains of the controllers were tuned using a meta-heuristic optimization technique cuckoo search algorithm for objective function which is defined as the weighted sum of integral of absolute error and integral of absolute change in controller output. The simulation studies reveal that proposed FOFPD+FOI controller offers much superior performance over PID, FOPID and IOFPD+IOI controllers.
Keywords: PID controller, FOPID controller, IOFPD+IOI controller, FOFPD+FOI controller, cuckoo search algorithm, model uncertainty, noise suppression
DOI: 10.3233/JIFS-169812
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5287-5299, 2018
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