Flame Image Analysis and Vision-guided Control of Gas Burners

Name: Nirudh Jirasuwankul

keyword: Flame image analysis

Abstract: The aim of this study is to investigate the feasibility of vision-guided control of nonpremixed swirl flames using a suitable flame image analysis technique. Three image analysis algorithms, namely, computed tomography (CT), Invariant analysis, and multispectral analysis have been developed and their performances compared. The multispectral analysis data of flame images captured by a CCD camera was chosen as the feedback signal for real-time closed-loop control of a Cl-la/air swirl flame. A softwarebased simulation model of the control system has been developed and lab-scale experiments carried out. The results show that despite some superior features of Invariant transform technique, its complexity and the computational time required prohibits the technique from being used for on-line analysis and control with existing computing capabilities. The multi-spectral analysis, on the other hand, provides a simpler with a much faster processing speed of about 67 millisecond per image, as compared to over I second and 718 millisecond for CT and Invariant transform respectively. The calculated matrixnorms of multi-spectral analysis data of Cl-la/air flame images were found to be wellcorrelated to the global equivalence ratio. A software-based PID type digital controller was designed using the flame model constructed by the multi-spectral analysis results, and operating point control strategy (OPC) implemented by simulation. Experiments conducted on a lab-scale swirl burner using the designed controller showed that stable control could be achieved and that the results were in good agreement with simulation. This suggests the potential of on-line combustion monitoring and control based on the optical data of flame Images.

King Mongkut's University of Technology Thonburi. KMUTT Library.

Address: BANGKOK

Email: info.lib@mail.kmutt.ac.th

Name: Bundit Fungtammasan

Role: Advisor

Created: 2553-01-31

Modified: 2553-01-31

Issued: 2553-01-31

วิทยานิพนธ์/Thesis

application/pdf

CallNumber: JGSEE140

tha

DegreeName: Doctor of Philosophy

Level: Doctoral Degree

Descipline: Environmental Technology

Grantor: King Mongkut's University of Technology Thonburi

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