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Design and implementation of an optimal, reliable and robust control system for an industrial plant emulator

Author

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  • P.S.V. Nataraj
  • Manoj M. Deshpande
  • Vishwesh Vyawahare

Abstract

In this paper, we present the design of an optimal, reliable and robust control system for an industrial plant emulator that is representative of many 'real-life' electromechanical systems found in industry. The design approach is based on Quantitative Feedback Theory (QFT). The QFT controller synthesis problem is posed as an Interval Constraint Satisfaction Problem (ICSP) and the solution methodology uses interval box-consistency techniques. The control system designed is then experimentally implemented (real-time) on the industrial plant emulator system in a non-collocated configuration. Experimental tests are conducted to check the reliability and robustness of the designed control system, by subjecting it to disturbances, uncertainties, backlash and their various combinations. The experimental test results show the control system design to be reliable and robust.

Suggested Citation

  • P.S.V. Nataraj & Manoj M. Deshpande & Vishwesh Vyawahare, 2009. "Design and implementation of an optimal, reliable and robust control system for an industrial plant emulator," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 3(1/2/3), pages 131-152.
    • Handle: RePEc:ids:ijrsaf:v:3:y:2009:i:1/2/3:p:131-152
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    Cited by:

    1. Dipesh Makwana & P. S. V. Nataraj, 2017. "Performance assessment of PLA-LP based QFT control algorithms: an experimental study on industrial plant emulator system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1254-1265, November.

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