Experimental Investigation of Adaptive Feedback Control on a Dual-Swirl-Stabilized Gas Turbine Model Combustor

Paredes, Juan Augusto; Ramesh, Rahul; Obidov, Sanjar; Gamba, Mirko; Bernstein, Dennis S.

doi:10.2514/6.2022-2058

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…The traditional and most often used controllers in the engine sector are the proportional integral derivative (PID) and its modified schemes [4], [5]. Linear quadratic gaussian (LQG) [6], [7] is an optimal control method. The precise linear state-space models required for a real engine combustor are absent, though.…”

Section: Introductionmentioning

confidence: 99%

A Bee Colony Neuro-Fuzzy Controller to Improve Well Premixed Combustion

Debbah

Kelaiaia

Kerboua

2023

Strojnícky Časopis - Journal of Mechanical Engineering

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In order to actively control combustion reaction, this study proposes an adaptive neuro-fuzzy (ANFIS) control scheme of interaction between premixed combustion reaction and acoustic flame perturbation where the flame pressure movement will be considered as model perturbation. Using the Cantera database, it is possible to investigate the mechanisms by which the combustion process interacts with acoustic, vorticity, and entropy waves. A well-stirred reactor (WSR) has been extensively used to model combustion processes in three different reaction zone regimes. We designed the control architecture to achieve an intelligent representation of the system for various operating scenarios, which was motivated by the complexity of the mathematical model that was being used. This goal is accomplished by an artificial bee colony (ABC), which uses simulated data from a mathematical model to optimize a neuro-fuzzy with less computational expense. The optimized neuro-fuzzy identifier is converted to an adaptive neural-based (ANFIS) controller optimized to control the outputs of the system. In keeping with the combustion temperature set point, the results demonstrate a remarkable attenuation of flame perturbation and acceptable combustion reaction quality (NOx emission).

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