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Huang, M Y and Chatwin, C R (1994) A knowledge-based adaptive control environment for an industrial laser cutting system. Optics and Lasers in Engineering, 21 (5). pp. 273-295. ISSN 0143-8166
Full text not available from this repository.Abstract
A hierarchically structured environment that integrates a knowledge- based expert system, adaptive process control and pattern recognition techniques for controlling a laser cutting process is described. Knowledge of the laser cutting process for different materials is organised and encoded into a rule-based system. An adaptive control algorithm based on on-line recursive parameter estimation and on-line control law synthesis was adopted for the highly non-linear cutting process control. Cutting speed was selected as the major control variable. Irradiance emitted from the cut front is used for the feedback signal to this adaptive controller. The irradiance signal feeds the recursive parameter estimator for system identification. Techniques of pattern recognition, which have been well developed in coherent optics, were applied to assess cut quality by characterising the exit spark cone images of the gas assisted laser cutting process. Images from the cutting processes were grabbed, edge enhanced and correlated with a synthetic discriminant function filter which was synthesised from reference images to give good cut quality. Results from digital simulations based on these pattern recognition algorithms are also presented. © 1994.
| Item Type: | Article |
|---|---|
| Additional Information: | cited By (since 1996)8 |
| Keywords: | Adaptive control systems; Algorithms; Computer simulation; Control theory; Expert systems; Feedback; Image enhancement; Optics; Parameter estimation; Pattern recognition; Process control, Coherent optics; Digital simulations; Industrial laser cutting systems; Irradiance emission; On-line control law synthesis; Recursive parameter estimator, Laser beam cutting |
| Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Depositing User: | Chris Chatwin |
| Date Deposited: | 23 May 2013 07:54 |
| Last Modified: | 23 May 2013 07:54 |
| URI: | http://srodev.sussex.ac.uk/id/eprint/45076 |