A modern approach to industrial process control
β Scribed by D.A. Wismer; C.H. Wells
- Publisher
- Elsevier Science
- Year
- 1972
- Tongue
- English
- Weight
- 825 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
Modern estimation and control techniques can be used to replace extensive modeling and simulation often emphasized in industrial process control.
Summary--The history of industrial process computer control now spans over 10 years. During this time control theory has transgressed from the frequency domain to the time domain, and yet few applications of these modern methods to industrial processes can be found in the literature. This paper attempts to temper the current state of computer process control with some historical perspective and thengoes on to describe an application of modern control techniques to the basic oxygen steel-making process. This application of adaptive filtering and nonlinear state estimation is used to illustrate that modern methods can be used to compensate for a lack of process knowledge. The point of emphasis is that these modern methods can replace the extensive modeling and simulation phases which historically have retarded the success of many on-line computer control projects. The paper is intended to stimulate more applications of modern control methods to industrial processes.
π SIMILAR VOLUMES
Three differential geometry based nonlinear control strategies, including input-output linearization, generic model control and Su-HunbMeyer transformation were studied on a simulation of the evaporation stage of the liquor burning process associated with the Bayer process for the production of alum