Nature Inspired Algorithm Based Optimal Type-2 Fuzzy Controller With Real-Time Validation on Servo System

Rani De, Ritu; K. Mudi, Rajani; Dey, Chanchal

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Nature Inspired Algorithm Based Optimal Type-2 Fuzzy Controller With Real-Time Validation on Servo System

International Journal of Electrical Engineering & Technology, 11(2), pp. 44-53, 2020

10 Pages Posted: 30 May 2020

See all articles by Ritu Rani De

Ritu Rani De

Department of Instrumentation and Electronics Engineering, Jadavpur University, Kolkata, India

Chanchal Dey

Instrumentation Engineering, Department of Applied Physics, University of Calcutta, Kolkata, India

Date Written: 2020

Abstract

Performance of three well-known nature inspired algorithms like genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution algorithm (DE) towards selection for optimal input and output scaling factors of an interval type-2 fuzzy PID controller (IT2-FLC) is evaluated for servo position control system. Optimal values of the input and output scaling factors for IT2-FLC are obtained through minimization of the objective function designed involving controller performance indices – percentage overshoot, settling time and integral time absolute error. Simulation study along with real-time experimental validation reveal the superiority of differential evolution algorithm (DE) based optimal IT2-FLC in terms of robustness and lesser noise sensitivity compared to other optimal IT2-FLCs.

Keywords: Genetic Algorithm, Particle Swarm Optimization, Differential Evolution Algorithm, Interval Type-2 Fuzzy Logic Controller, Servo System

Suggested Citation: Suggested Citation

Rani De, Ritu and K. Mudi, Rajani and Dey, Chanchal, Nature Inspired Algorithm Based Optimal Type-2 Fuzzy Controller With Real-Time Validation on Servo System (2020). International Journal of Electrical Engineering & Technology, 11(2), pp. 44-53, 2020, Available at SSRN: https://ssrn.com/abstract=3591092