Title: Fuzzy-cuckoo controller for nonlinear system
Author: Praveen Kumar; Swapnil Nema; Prabin Kumar Padhy
Indian Institute of Technology, Roorkee- Haridwar Highway, Roorkee, Uttaranchal, 247667, India
Global Nature Care Sangathan's Group of Institutions, Raigwan, Global Square, Patan Bypass Jabalpur (M.P.), 482002, India
PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, 482005, MadhyaPradesh, India
Journal: Int. J. of Systems, Control and Communications, 2017 Vol.8, No.1, pp.41 - 56
Abstract: This paper presents the novel fuzzy-cuckoo controller for the nonlinear system. The scaling factor of the fuzzy logic controller (FLC) has determined by using nature inspired cuckoo search optimisation. Controller design using FLC is a model-free approach. Auto-tuning of the controller parameters have been done using cuckoo optimisation. In this design, Sugeno type's fuzzy inference system has used to design the controller for the improvement of system's performance, which takes less computational time. Sum of the integral square error (ISE) and maximum overshoot (Mp) have been taken as an objective function for optimisation purpose. Tracking problem of inverted pendulum and stability analysis of the Van der Pol oscillator (VDPO) have considered as an examples to validate the proposed design and real time experiment has also performed on single conical tank system.
Keywords: fuzzy logic control; FLC; cuckoo search; nonlinear systems; inverted pendulum; Van der Pol oscillator; VDPO; conical tanks; controller design; optimisation; fuzzy inference systems; integral square error; maximum overshoot; fuzzy control.
Available online 11 Jan 2017