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Synthesis of nonlinear adaptive controller for a batch distillation.
ISA Trans 2007; 46(1):49-57IT

Abstract

A nonlinear adaptive control strategy is proposed for a binary batch distillation column. The hybrid control algorithm comprises a generic model controller (GMC) and a nonlinear adaptive state estimator (ASE). The adaptive observation scheme mainly estimates the imprecisely known parameters based on the available tray temperature measurements. The sensitivity of the proposed estimator is investigated with respect to the effect of initialization error, unmeasured disturbance and uncertainty. Then, a comparative study is carried out between the derived nonlinear GMC-ASE controller and a traditional proportional integral law in terms of set point tracking and disturbance rejection performance. The study also includes the effect of measurement noise and parametric uncertainty on the closed-loop performance. The proposed adaptive control algorithm is shown to be quite promising due to the exponential error convergence capability of the ASE estimator in addition to the high-quality control action provided by the GMC controller.

Authors+Show Affiliations

Department of Chemical Engineering, Birla Institute of Technology and Science-Pilani, Rajasthan-333 031, India. amiya_jana@yahoo.co.in

Pub Type(s)

Journal Article

Language

eng

PubMed ID

17241632

Citation

Jana, Amiya K.. "Synthesis of Nonlinear Adaptive Controller for a Batch Distillation." ISA Transactions, vol. 46, no. 1, 2007, pp. 49-57.
Jana AK. Synthesis of nonlinear adaptive controller for a batch distillation. ISA Trans. 2007;46(1):49-57.
Jana, A. K. (2007). Synthesis of nonlinear adaptive controller for a batch distillation. ISA Transactions, 46(1), pp. 49-57.
Jana AK. Synthesis of Nonlinear Adaptive Controller for a Batch Distillation. ISA Trans. 2007;46(1):49-57. PubMed PMID: 17241632.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Synthesis of nonlinear adaptive controller for a batch distillation. A1 - Jana,Amiya K, Y1 - 2007/01/22/ PY - 2005/11/06/received PY - 2006/05/22/accepted PY - 2007/1/24/pubmed PY - 2007/4/25/medline PY - 2007/1/24/entrez SP - 49 EP - 57 JF - ISA transactions JO - ISA Trans VL - 46 IS - 1 N2 - A nonlinear adaptive control strategy is proposed for a binary batch distillation column. The hybrid control algorithm comprises a generic model controller (GMC) and a nonlinear adaptive state estimator (ASE). The adaptive observation scheme mainly estimates the imprecisely known parameters based on the available tray temperature measurements. The sensitivity of the proposed estimator is investigated with respect to the effect of initialization error, unmeasured disturbance and uncertainty. Then, a comparative study is carried out between the derived nonlinear GMC-ASE controller and a traditional proportional integral law in terms of set point tracking and disturbance rejection performance. The study also includes the effect of measurement noise and parametric uncertainty on the closed-loop performance. The proposed adaptive control algorithm is shown to be quite promising due to the exponential error convergence capability of the ASE estimator in addition to the high-quality control action provided by the GMC controller. SN - 0019-0578 UR - https://www.unboundmedicine.com/medline/citation/17241632/Synthesis_of_nonlinear_adaptive_controller_for_a_batch_distillation_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0019-0578(06)00010-3 DB - PRIME DP - Unbound Medicine ER -