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A controller based on Optimal Type-2 Fuzzy Logic: systematic design, optimization and real-time implementation.

H M Fayek1, I Elamvazuthi1, N Perumal1

  • 1Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 31750 Tronoh, Perak, Malaysia.

ISA Transactions
|June 26, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient Optimal Type-2 Fuzzy Logic Controller (OT2FLC) for DC servomotor control. The OT2FLC demonstrates superior performance in handling system uncertainties and disturbances compared to other controllers.

Keywords:
Fuzzy Logic ControlIntelligent controlOptimizationRobotic armType-2 Fuzzy Logic

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Area of Science:

  • Robotics and Control Systems
  • Computational Intelligence
  • Fuzzy Logic Systems

Background:

  • DC servomotors are crucial components in robotic systems.
  • Controlling robotic arms requires precise and robust control strategies.
  • Fuzzy Logic Controllers (FLCs) offer advantages in handling nonlinearities and uncertainties.

Purpose of the Study:

  • To propose a computationally-efficient procedure for designing an Optimal Type-2 Fuzzy Logic Controller (OT2FLC).
  • To optimize the performance of an OT2FLC for real-time DC servomotor position control.
  • To evaluate the effectiveness of the OT2FLC in handling system uncertainties and disturbances.

Main Methods:

  • A hybrid optimization approach combining Particle Swarm Optimization (PSO) for controller gains and Genetic Algorithm (GA) for membership function parameters.
  • Real-time implementation of the proposed OT2FLC for DC servomotor position control.
  • Comparative performance analysis using Integral Absolute Error (IAE) and computational cost metrics.

Main Results:

  • The proposed OT2FLC achieved superior performance compared to an Optimal Type-1 Fuzzy Logic Controller (OT1FLC) and a PI controller.
  • The OT2FLC effectively handled uncertainties and imprecisions in the DC servomotor system.
  • Investigated various type-2 defuzzification methods for real-time application.

Conclusions:

  • The developed OT2FLC provides a computationally efficient and robust solution for robotic arm control.
  • The hybrid optimization strategy enhances the design of Type-2 Fuzzy Logic Controllers.
  • OT2FLC shows significant advantages in systems with inherent noise and disturbances.