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- W1604520932 abstract "In a fuzzy controller, the control strategy is expressed as a rule base, a set of linguistic rules that express the interrelations between controlled and manipulated variables. When the rule base is based on heuristics, and when the process to be controlled is complex, a certain degree of freedom exists, allowing the formulation of several rule bases with different control strategies. In this paper, the performance of five different fuzzy control strategies developed to control a flotation column are compared. The controller, working in real time, is based on fuzzy logic inference with Mamdani-type rules. It's aim is stabilization (regulation) of the air holdup in the collection zone, and the command and stabilization of pulp height and bias water-flow rate by manipulation of the underflow, washing water and air-flow rates. The strategies formulated were all developed heuristically and were: a rule base expressing the equivalent in fuzzy control of the column flotation classical-control strategy (three independent SISO loops), one rule base with only 11 rules, two more complex rule bases, and another, which considers dynamic compensation. The exprimental work was performed on a fully monitored laboratory scale column 9 cm in diameter and 4 m in height. A two-phase system (air and water) was tested. The main conclusion of this study is that it is possible to adequately control a flotation column using a fuzzy controller with a heuristically developed rule base. The controlled-system performance, using a simple rule base with 11 rules, is comparable to the performance achieved with more complex rule bases. In fact, operators can drive the process based on only a few simple rules." @default.
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- W1604520932 date "2000-01-01" @default.
- W1604520932 modified "2023-09-25" @default.
- W1604520932 title "Strategies for fuzzy control of a water/air column" @default.
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- W1604520932 doi "https://doi.org/10.1016/s0167-4528(00)80011-3" @default.
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