Automatic flotation control- a review of 20 years of effort

McKee D.J. (1991) Automatic flotation control- a review of 20 years of effort. Minerals Engineering, 4 7-11: 653-666. doi:10.1016/0892-6875(91)90055-Z

Author McKee D.J.
Title Automatic flotation control- a review of 20 years of effort
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
Publication date 1991
Sub-type Article (original research)
DOI 10.1016/0892-6875(91)90055-Z
Volume 4
Issue 7-11
Start page 653
End page 666
Total pages 14
Subject 1900 Earth and Planetary Sciences
1906 Geochemistry and Petrology
1909 Geotechnical Engineering and Engineering Geology
Abstract Some twenty years ago, the first on-line devices for measuring the metal content of flotation slurries became available. As a result, the first studies in the automatic or computer control of industrial flotation circuits commenced. The development of robust and lasting automatic control systems for flotation circuits has proved difficult. Reasons for this include the inherent complexity and unpredictability of the response of most flotation circuits to upset consitions, unclear expectations of what a control system can achieve, unrealistic objectives for control systems and excessive complexity of the actual control strategies. However, the interest in developing control systems has persisted because the benefits to be gained in terms of improved metallurgical performance are substantial. A pattern of development has emerged for flotation control systems. Most of the early systems were concerned with some form of stabilizing control, although a few systems were aimed directly at optimization. It is now generally accepted that stabilizing control must precede optimization, and the focus has shifted to a range of increasingly sophisticated approaches to achieve stabilization by the use of various model based control strategies. A recent development is the application of expert systems as the crucial role and knowledge of operators are being appreciated.
Keyword expert systems
Flotation control
model based
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
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Citation counts: Scopus Citation Count Cited 27 times in Scopus Article | Citations
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Created: Tue, 26 Jul 2016, 03:52:15 EST by System User