Holistic indices for productivity control assessment, applied to the comparative analysis of PID and fuzzy controllers within an Isasmelt furnace
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Document typeArticle
Defense date2014-02-01
Rights accessRestricted access - publisher's policy
Abstract
This research aims to contribute to the analysis of control performance assessment in extractive metallurgy. Productivity-based indices are proposed in addition to current measuring techniques. Such criteria are employed to compare conventional PID and fuzzy-based controllers in copper smelting. This process is mathematically modeled in order to be simulated. The comparison confirms a better performance of the fuzzy controller in dealing with the molten bath temperature within an Isasmelt furnace. In normal operating conditions (online tests), the proposed controller achieves a consistent mean square relative error reduction of 72% between measured values and the temperature setpoint and standard deviation of approximately 60% (from 27.8 degrees C to 11.1 degrees C). The productivity criteria establish a lower consumption of raw materials (13%) and energy supply (29%).
CitationOjeda, J.; Fuertes, J.M.; Griful, E. Holistic indices for productivity control assessment, applied to the comparative analysis of PID and fuzzy controllers within an Isasmelt furnace. "IEEE transactions on industrial informatics", 01 Febrer 2014, vol. 10, núm. 1, p. 92-98.
ISSN1551-3203
Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6575199
Collections
- L'AIRE - Laboratori Aeronàutic i Industrial de Recerca i Estudis - Articles de revista [44]
- GR-DCS - Sistemes Distribuïts de Control - Articles de revista [11]
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [997]
- Departament d'Estadística i Investigació Operativa - Articles de revista [465]
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