The papermaking process can be viewed as a time-varying stochastic system. The purpose of the control is to minimize the variance of moisture and basis weight of the manufactured paper. In the framework of stochastic theory and recently published papers on adaptive control an algorithm has been deve
Simulations of adaptive controllers for a paper machine headbox
β Scribed by F.M. D'Hulster; R.M.C. De Keyser; A.R. Van Cauwenberghe
- Publisher
- Elsevier Science
- Year
- 1983
- Tongue
- English
- Weight
- 589 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
β¦ Synopsis
A~tract--The paper headbox is a crucial part of a paper machine, largely influencing the paper quality. Since this can be improved by better control, the evaluation of advanced control methods is certainly justified from an economical point of view. Not only do disturbances have to be rejected, but smooth startups and fast setpoint changes must also be possible. To design a good controller, some parameters need to be known, the determination of which can be cumbersome. However, this can be considerably alleviated by adding an on-line parameter estimator to the controller. This allows the controller to adapt itself to slowly changing process characteristics. In this paper different adaptive control methods are used on the simulated process and compared to the classical PI-controls. Particularly, a singleoutput self-tuning controller with feedforward action and a multivariable adaptive deadbeat controller are promising. The last one provides simultaneous offset-free control of both process outputs.
π SIMILAR VOLUMES
## Abstract A good simulation model for paper machines can be used to identify deficiencies in the design, bottlenecks during operation, and regions of poor control. It also allows users to test their hypotheses and innovations without potentially causing major upsets and reducing throughput. In th
Application a of Modern Control Concepts Kraft Paper Machine\* MAGNE FJELI)t on Least Square Quadratic Optimal Control theory applied to control a pressurized headbox and thick stock consistency on a Kraft paper machine yields an excellent economical payoff improved quality and production follow-up.