Strategy for adaptive process control for a column flotation unit
Researchers at the U.S. Bureau of Mines (USBM) have developed adaptive process control systems in which genetic algorithms (GAs) are used to augment fuzzy logic controllers (FLCs). Together, GAs and FLCs possess the capabilities necessary to produce powerful, efficient, and robust adaptive control systems. To perform efficiently, such control systems require a control element to manipulate the problem environment, an analysis element to recognize changes in the problem environment, and a learning element to adjust to the changes in the problem environment. In this paper, the details of an ongoing research effort to develop and implement an adaptive process control system for a column flotation unit are discussed. Column flotation units are used extensively in the mineral processing industry to recover valuable minerals from their ores.
- Research Organization:
- USDOE Pittsburgh Energy Technology Center (PETC), PA (United States); Oregon State Univ., Corvallis, OR (United States). Dept. of Computer Science; Naval Research Lab., Washington, DC (United States); Electric Power Research Inst. (EPRI), Palo Alto, CA (United States); Bureau of Mines, Washington, DC (United States)
- OSTI ID:
- 81600
- Report Number(s):
- CONF-9410335-; ON: DE95011702; TRN: 95:004731-0015
- Resource Relation:
- Conference: Adaptive control systems technology symposium, Pittsburgh, PA (United States), 24-25 Oct 1994; Other Information: PBD: [1994]; Related Information: Is Part Of High-tech controls for energy and environment. Proceedings; Biondo, S.J.; Drummond, C.J. [eds.] [USDOE Pittsburgh Energy Technology Center, PA (United States)]; PB: 287 p.
- Country of Publication:
- United States
- Language:
- English
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