Lexicographic optimization based MPC: simulation and experimental study

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dc.contributor.author Anilkumar, Markana
dc.contributor.author Padhiyar, Nitin
dc.contributor.author Moudgalya, Kannan
dc.date.accessioned 2016-02-12T12:33:57Z
dc.date.available 2016-02-12T12:33:57Z
dc.date.issued 2016-05
dc.identifier.citation Anilkumar, Markana; Padhiyar, Nitin and Moudgalya, Kannan, “Lexicographic optimization based MPC: simulation and experimental study”, Computers and Chemical Engineering, DOI: 10.1016/j.compchemeng.2016.02.002, Vol. 88, pp. 135–144, May. 2016. en_US
dc.identifier.issn 0098-1354
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/2093
dc.identifier.uri http://dx.doi.org/10.1016/j.compchemeng.2016.02.002
dc.description.abstract Multi-variable prioritized control study is carried out using model predictive control (MPC) algorithms. The conventional MPC algorithm implements multi-variable control through one augmented objective function and requires weights adjustment for required performance. In order to implement explicit prioritization in multiple control objectives, we have used lexicographic MPC. To achieve better tracking performance, we have used a new MPC algorithm, by modifying the lexicographic constraint, referred to as MLMPC, where tuning of weights is not required. The effectiveness of MLMPC algorithm is demonstrated on a PMMA reactor for controlling the number average molecular weight and the reactor temperature. We have also verified the benefits of proposed algorithm on an experimental single board heater system (SBHS) for controlling temperature of a thin metal plate. These simulation and experimental studies demonstrate the superiority of the proposed method over conventional MPC and lexicographic MPC. Finally, we have presented generalized mathematical solutions to the optimization problem in MLMPC
dc.description.statementofresponsibility by Nitin Padhiyar
dc.description.statementofresponsibility by Markana Anilkumar, Nitin Padhiyar and Kannan Moudgalyac
dc.format.extent Vol. 88, pp. 135–144
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Lexicographic optimization en_US
dc.subject Based MPC en_US
dc.subject Simulation and experimental study en_US
dc.title Lexicographic optimization based MPC: simulation and experimental study en_US
dc.type Article en_US
dc.relation.journal Computers and Chemical Engineering


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