Two-tier search space optimisation technique for tuning of explicit plant-model mismatch in model predictive controller for industrial cement kiln process

Valarmathi Ramasamy, Ramkumar Kannan, Guruprasath Muralidharan, Rakesh Kumar Sidharthan and Rengarajan Amirtharajan

Mathematics and Computers in Simulation (MATCOM), 2022, vol. 193, issue C, 385-408

Abstract: Optimal control of cement kiln is demanding to ensure cement quality and minimal energy usage in cement industries. Plant-model mismatch (PMM) in the prediction model predominantly determines the Model Predictive Controller (MPC) performance. The proposed work aims to determine the optimal PMM parameters that can improve the MPC performance under various scenarios of cement kiln operations. Many parameters in a MIMO transfer function model of cement kiln make it a higher-dimensional problem. Gain and time-constant of the individual First Order Plus Time Delay Model models are considered as tunable PMM parameters. A novel two-tier optimisation algorithm has been proposed to optimise the search space and reduce PMM tuning complexity. Tier-1 uses Ant Colony Optimisation (ACO) to identify the PMM parameters using combinatorial optimisation, and Tier-2 employs a Genetic algorithm (GA) to tune the identified PMM parameters. Five control scenarios encountered during cement kiln operations, including tracking and rejection of Pulse and Gaussian disturbances, have been considered in this study. Experimental results illustrate a reduction of 32.5% of PMM parameters with the use of Tier-1. GA-tuned PMM parameters improve MPC’s transient behaviour at a reduced energy loss across all the control scenarios.

Keywords: Search space optimisation; ACO; GA; MPC; Plant-model mismatch; Cement kiln (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475421003773
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:193:y:2022:i:c:p:385-408

DOI: 10.1016/j.matcom.2021.10.015

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().