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A Noble Fuzzy Self-Tuning Scheme for Conventional PI Controller

  • Rajani K. Mudi
  • Ritu Rani De Maity
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 199)

Abstract

In this study, we propose an improved auto-tuning PI controller. The widely practiced Ziegler-Nichols tuned PI controller (ZNPIC) exhibits poor performance for nonlinear and high-order systems. In order to have an overall improved transient response, the proportional constant of the proposed PI controller is parameterized by a real-time nonlinear updating factor ( depending on the process trend. The value of ( is determined through a fuzzy inference engine with 49 if-then rules defined on the process error and change of error. Performance of the proposed fuzzy self-tuning ZNPIC, termed as FST-ZNPIC, is tested for second-order linear and nonlinear dead time processes including a marginally stable system under both set point change and load disturbance. Simulation results reveal our FST-ZNPIC provides significantly improved transient responses compared to other conventional and fuzzy self-tuning controllers. Robustness of FST-ZNPIC is observed with a considerable change in process dead time.

Keywords

Ziegler-Nichols tuning Auto-tuning Fuzzy self-tuning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Dept of I.E.E.Jadavpur UniversityKolkataIndia
  2. 2.Dept of E.I.EDr. B.C. Roy Engg CollegeDurgapurIndia

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