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Robustness Analysis of decoupled PID controller for Paper Machine Headbox

  • Parvesh Saini*
  • , Rajesh Kumar
  • , Pradeep Kumar Juneja
  • , Deepak Parashar
  • *Corresponding author for this work

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

Abstract

A Particle Swarm Optimisation (PSO) based PID controller has been proposed in this paper for a paper machine headbox. The considered headbox model has been perturbed and the proposed controller has been implemented on the perturbed model to assess the robustness of the system. The robustness of the proposed controller has been evaluated on the basis of sensitivity and complementary sensitivity functions. Sensitivity and complementary sensitivity functions provide significant insight into the system's behavior for disturbance, uncertainties, and noise (due to sensors/actuators). Hence, the controller to be designed for a given system should be concerned about these functions. Apart from these functions, worst-case sensitivity analysis has also been carried out for the perturbed headbox. The responses obtained from the proposed controller have been compared with some conventional PID tuning techniques and it is observed that the proposed controller yields better robustness.

Original languageEnglish
Title of host publication2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages503-507
Number of pages5
ISBN (Electronic)9781728165752
DOIs
Publication statusPublished - 02-2020
Event2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020 - Mathura, Uttar Pradesh, India
Duration: 28-02-202029-02-2020

Publication series

Name2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020

Conference

Conference2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020
Country/TerritoryIndia
CityMathura, Uttar Pradesh
Period28-02-2029-02-20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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