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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, KPS
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, India. Tel.: +91 11 25099022; Fax: +91 11 25000057; E-mail: singhjitendra86@gmail.com.
Abstract: A two link planar rigid robotic manipulator is a highly nonlinear, coupled and multi-input multi-output system. For its effective control, an intelligent adaptive fractional order fuzzy sliding mode proportional integral and derivative controller (FOFSMCPID) has been presented in this work. Sliding mode controller (SMC) is designed by using exponential law and closed loop stability analysis is demonstrated by using Lyapunov theorem. The chattering in the SMC controller has been effectively reduced with the help of boundary layer along with the fuzzy logic. For tuning of the controller, a weighted sum of integral of absolute error and chatter has been considered as the objective function to be minimized using cuckoo search optimization algorithm. To demonstrate the efficacy of FOFSMCPID controller, the results have been compared with integer order fuzzy sliding mode proportional, integral and derivative controller (IOFSMCPID), integer order fuzzy sliding mode proportional and derivative controller (IOFSMCPD) and fractional order fuzzy sliding mode proportional and derivative (FOFSMCPD) controller for trajectory tracking, disturbance rejection, noise suppression and model uncertainties. The detailed presented investigations have demonstrated that FOFSMCPID controller exhibits much superior performance over IOFSMCPID, IOFSMCPD and FOFSMCPD controllers.
Keywords: Sliding mode control, fractional order operators, fuzzy logic, cuckoo search optimization algorithm, robotic manipulator
DOI: 10.3233/JIFS-169813
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5301-5315, 2018
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