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Hands-on MPC tuning for industrial applications

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Języki publikacji
EN
Abstrakty
EN
This paper proposes a practical tuning of closed loops with model based predictive control. The data assumed to be known from the process is the result of the bump test commonly applied in industry and known in engineering as step response data. A simplified context is assumed such that no prior know-how is required from the plant operator. The relevance of this assumption is very realistic in the context of first time users, both for industrial operators and as educational competence of first hand student training. A first order plus dead time is approximated and the controller parameters immediately follow by heuristic rules. Analysis has been performed in simulation on representative dynamics with guidelines for the various types of processes. Three single-input-single-output experimental setups have been used with no expert users available in different locations – both educational and industrial – these setups are representative for practical cases: a variable time delay dominant system, a non-minimum phase system and an open loop unstable system. Furthermore, in a multivariable control context, a train of separation columns has been tested for control in simulation, followed by experimental tests on a laboratory system with similar dynamics, i.e. a sextuple coupled water tank system. The results indicate the proposed methodology is suitable for hands-on tuning of predictive control loops with some limitations on performance and multivariable process control.
Rocznik
Strony
925--945
Opis fizyczny
Bibliogr. 68 poz., rys.
Twórcy
autor
  • Ghent University, Department of Electrical energy, Metals, Mechanical Constructions and Systems, Research group on Dynamical Systems and Control, Tech Lane Science Park 125, Ghent B9052, Belgium
  • EEDT core lab on Decision and Control, member of Flanders Make consortium, Tech Lane Science Park 131, Ghent 9052, Belgium
  • Technical University of Cluj Napoca, Department of Automation, Memorandumului Street no 28, Cluj, Romania
autor
  • Ghent University, Department of Electrical energy, Metals, Mechanical Constructions and Systems, Research group on Dynamical Systems and Control, Tech Lane Science Park 125, Ghent B9052, Belgium
  • EEDT core lab on Decision and Control, member of Flanders Make consortium, Tech Lane Science Park 131, Ghent 9052, Belgium
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Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-a1b4bbb3-1f9d-401a-9123-f33d1a206cab
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