Design of Robust Controller for an Uncertain System described by Unstructured Uncertainty Model using Small Gain Theorem

Shreesha C, Supanna S. Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A simple and easy technique is used to design a robust Proportional Integral Derivative (PID)/ Proportional Integral (PI) controller for an uncertain system described by unstructured uncertainty model. The controller design is based on Small Gain theorem and it guarantees closed loop stability for input variations across its full working range. The uncertain plant under different working ranges is described by a family of corresponding transfer functions. In this paper design of a robust controller has been demonstrated for a warm air-drying chamber. Closed loop step response and frequency response plots are shown to prove that the proposed controller provides robust operation of the chosen uncertain plant. Comparison of the results with those obtained from other design methods shows that the proposed controller design methodology proves to be a better option.

Original languageEnglish
Title of host publication2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages459-463
Number of pages5
ISBN (Electronic)9781538680100
DOIs
Publication statusPublished - 01-04-2019
Event2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019 - London, United Kingdom
Duration: 24-04-201926-04-2019

Publication series

Name2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019

Conference

Conference2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
Country/TerritoryUnited Kingdom
CityLondon
Period24-04-1926-04-19

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Artificial Intelligence
  • Management of Technology and Innovation
  • Computer Science Applications
  • Information Systems and Management
  • Control and Optimization
  • Instrumentation

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