Fuzzy Fractional Order PID Based Parallel Cascade Control System

  • Rangaswamy Karthikeyan
  • Sreekanth Pasam
  • Sandu Sudheer
  • Vallabhaneni Teja
  • Shikha Tripathi
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 235)

Abstract

Parallel cascade controllers are used in process and control industries to improve the dynamic performance of a control system in the presence of disturbances. In the present work, fuzzy set point weighted Fractional Order Proportional Integral Derivative (FOPID) controller is designed for the primary loop of the parallel cascade control system. The secondary controller is designed using the internal model control (IMC) method. Also, a smith predictor based dead time compensator is designed to compensate large time delay in the process. Several case studies are considered to show the advantage of the proposed method when compared to other recently reported methods. The proposed method provides robust control performance which significantly improves the closed loop response with less settling time when compared to conventional PID controller based parallel cascade control system.

Keywords

Fractional Order Proportional Integral Derivative (FOPID) control Fuzzy Set-point Weighting(FSW) Parallel Cascade Control Smith Predictor Internal Model Control (IMC) PID 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rangaswamy Karthikeyan
    • 1
  • Sreekanth Pasam
    • 1
  • Sandu Sudheer
    • 1
  • Vallabhaneni Teja
    • 1
  • Shikha Tripathi
    • 1
  1. 1.Department of Electronics and Communication EngineeringAmrita Vishwa Vidyapeetham, Amrita School of EngineeringBangaloreIndia

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