Robust multi-objective control design for underground coal gasification energy conversion process

Afraz Mehmood Chaudhry, Ali Arshad Uppal, Yazan M. Alsmadi*, Aamer Iqbal Bhatti, Vadim I. Utkin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The efficiency of an underground coal gasification (UCG) energy conversion process can be increased by maintaining a desired heating value of the product gases. In literature this task has been accomplished by adopting nonlinear model-based control strategies. To exploit the flexibility of the linear control design techniques, a linear model of the UCG process has been developed, which retains the dynamics of the nonlinear model around the operating point of interest. To account for external disturbance and modelling inaccuracies, an output-based robust multi-objective H2/H control law integrated with pole placement has been proposed. The problem is solved by formulating linear matrix inequality (LMI) constraints for performance and robustness. The simulation results show that the designed controller gives adequate performance in the presence of modelling inaccuracies and external disturbance. Moreover, it has been shown that performance of the designed controller is better as compared to the standard PI controller.

Original languageEnglish
Pages (from-to)328-335
Number of pages8
JournalInternational Journal of Control
Volume93
Issue number2
DOIs
StatePublished - 1 Feb 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Energy conversion systems
  • linear matrix inequalities (LMIs)
  • multi-objective and robust pole placement control
  • underground coal gasification (UCG) control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

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