A Noble Fuzzy Self-Tuning Scheme for Conventional PI Controller

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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