School of Mechanical Engineering, VIT Vellore, Vellore, 632 014, Tamil Nadu, India School of Electrical Engineering, VIT Vellore, Vellore, 632 014, Tamil Nadu, India Chemical Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, 211 004, Uttar Pradesh, India. E-mail: dipesh-patle@mnnit.ac.in Manuscript received online 24 July 2020, revised and accepted 23 August 2020 The control of a non-linear jacketed Continuous Stirred Tank Reactor (CSTR) with steady-state multiplicity is challenging due to its unstable nature. Generally, CSTR is operated near/at unstable equilibrium nodes, which decides the optimal productivity of the process. In this paper, a neural-estimator based non-linear control structure is developed for a CSTR possessing multiplicity. A Neuro-estimator based on feed-forward neural network has been designed to estimate the reactor concentration, which is often an imprecisely known parameter of the CSTR. We integrate the Neuro-estimator with a generic model controller (GMC) to develop a Neuro-GMC structure which utilizes the concentration estimated by the Neuro-estimator. Both servo and regulatory studiesare performed to assess the effectiveness of the Neuro-GMC in controlling the reactor. Two additional control schemes, namely an extended Internal Model Control (IMC) and a standard PI controller, are designedto compare performance of the designed Neuro-GMC. Simulation results highlight that even in the presence of process-model mismatch,the Neuro-GMC yields better tracking and disturbance rejection characteristics.


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    Title :

    Neuro-estimator based Generic Model Control of a Non-linear CSTR having Multiplicity


    Contributors:

    Publication date :

    2020-10-01


    Remarks:

    oai:zenodo.org:5957233
    Journal of Indian Chemical Society Vol. 97, No. 10a(Oct 2020) 1737-1745



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




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