Performance assessment of PLA-LP based QFT control algorithms: an experimental study on industrial plant emulator system

Dipesh Makwana and P. S. V. Nataraj ()
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Dipesh Makwana: Indian Institute of Technology Bombay
P. S. V. Nataraj: Indian Institute of Technology Bombay

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 56, 1254-1265

Abstract: Abstract This paper experimentally assesses the performance of recent QFT robust control synthesis algorithms (Makwana and Nataraj in Proceedings of first IEEE international conference on industrial instrumentation and control (ICIC 2015), Pune, India, 2015), called PLA-LP algorithms, on electromechanical systems. An industrial plant emulator that is representative of modern electromechanical plants is used for the experimental studies. The industrial plant emulator offers many control challenges in the form of plant uncertainty, output disturbances, backlash nonlinearity, and friction. To perform in face of these challenges, a robust control system is designed using the PLA-LP algorithms. The performance assurance capability of the control system is then investigated via real-time experiments on the industrial plant emulator. The emulator is experimentally subjected to a variety of tests, such as plant uncertainty, setpoint changes, input and output disturbances, and their various combinations. The obtained experimental results show that the PLA-LP design algorithms indeed assure that the control system performs as per the given robust control specifications.

Keywords: Electro-mechanical systems; Linear programming; Quantitative feedback theory; Robust control (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-017-0596-6

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