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Optimized Type-2 Fuzzy Logic PSS Combined with H∞ Tracking Control for the Multi-machine Power System

  • Khaddouj Ben MezianeEmail author
  • Ismail Boumhidi
Conference paper
  • 109 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1076)

Abstract

In this paper, an optimized type-2 fuzzy logic based on power system stabilizer combined with the optimal H∞ tracking control has been developed to design intelligent controllers for improving and enhancing the performance of stability for the multi-machine power system. The type-2 fuzzy logic based on interval value sets is capable for modeling the uncertainty and to overcome the drawbacks of the conventional power system stabilizer. The scaling factors of the type-2 fuzzy logic are optimized with the particle swarm optimization algorithm to obtain a robust controller. The optimal H∞ tracking control guarantees the convergence of the errors to the neighborhood of zero. The simulation results show the damping of the oscillations of the angle and angular speed with reduced overshoots and quick settling time.

Keywords

Multi-machine power system Interval type-2 fuzzy logic Particle swarm optimization Power system stabilizer H∞ tracking control 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of EngineeringHigher Institute of Engineering and Business (ISGA)FezMorocco
  2. 2.Department of Physics, LESSI Laboratory, Faculty of SciencesUniversity Sidi Mohamed Ben AbdellahFezMorocco

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