Adaptive fuzzy controller and adaptive self-tuning controller: comparative analysis for the excitation control of a synchronous generator

  • Authors:

  • Ioan Filip;Octavian Prostean;Iosif Szeidert;Valentina Balas;Gabriela Prostean

  • Affiliations:

  • Department of Automation and Applied Informatics, University "Politehnica" from Timisoara, Timisoara, Romania;Department of Automation and Applied Informatics, University "Politehnica" from Timisoara, Timisoara, Romania;Department of Automation and Applied Informatics, University "Politehnica" from Timisoara, Timisoara, Romania;Department of Automatics, Aurel Vlaicu University of Arad, Arad, Romania;Department of Management, University "Politehnica" from Timisoara, Timisoara, Romania

  • Venue:
  • ICAI'06 Proceedings of the 7th WSEAS International Conference on Automation & Information
  • Year:
  • 2006

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Abstract

This paper presents a comparative study between an adaptive fuzzy controller and an adaptive self-tuning controller with application to excitation control of a synchronous generator. The adaptive self-tuning controller is based on a dual action, obviously on control input, and also on reference signal. The proposed adaptive fuzzy controller includes a mechanism to adapt one of the tuning parameters. Some comparative studies are performed regarding the performance of a conventional fuzzy PI controller and the designed adaptive fuzzy PI controller (all with application to excitation control of a synchronous generator functioning in active power load regime). Also, to design the adaptive self-tuning controller two situations were considered concern the used parameters estimator: in the first case using a recursive least square error parameters estimator and, in the second, using a parameters estimator based on Givens orthogonal transformation.