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Sliding Mode-Based Fuzzy Model Reference Adaptive Control Technique for an Unstable System

  • Anil Kumar YadavEmail author
  • Pawan Kumar Pathak
  • Sneha V. Sah
  • Prerna Gaur
Original Contribution
  • 7 Downloads

Abstract

A comparative performance analysis of two adaptive control techniques for an unstable and disturbed system is presented. The first technique is model reference adaptive control (MRAC) that is based on Lyapunov theory, and second strategy is a combination of sliding mode (SM) and fuzzy logic theories and is known as sliding mode fuzzy model reference adaptive control (SM-FMRAC). In these schemes, asymptotic tracking of three reference models with different settling times and the different damping conditions is achieved. The expected advantage of the proposed SM-FMRAC is to improve the performance specifications over the MRAC technique.

Keywords

Fuzzy logic Lyapunov stability theory MRAC Reference model SM-FMRAC 

Notes

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Copyright information

© The Institution of Engineers (India) 2019

Authors and Affiliations

  • Anil Kumar Yadav
    • 1
    Email author
  • Pawan Kumar Pathak
    • 2
  • Sneha V. Sah
    • 2
  • Prerna Gaur
    • 3
  1. 1.Department of Electrical EngineeringNIT HamirpurHamirpur (HP)India
  2. 2.School of AutomationBanasthali VidyapithBanasthaliIndia
  3. 3.Division of ICENSITDwarka, New DelhiIndia

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