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Control of a grinding mill circuit using fractional order controllers
Affiliation:1. Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, GR15784 Athens, Greecen;2. Department of Informatics and Telematics, Harokopio University, Eleftheriou Venizelou 70, Kallithea, GR17671 Athens, Greecen;1. Departamento de Geología, FCFM, Universidad de Chile, Plaza Ercilla 803, Santiago, Chile;2. Centro de Excelencia en Geotermia de los Andes, Plaza Ercilla 803, Santiago, Chile;3. FCC Servicios Ciudadanos, Av. Vitacura 2771, Of. 403, Santiago, Chile;4. Codelco, Calama, Chile;5. Departamento de Geografía, Facultad de Cs. Sociales, Universidad Alberto Hurtado, Cienfuegos 41, Santiago, Chile;6. Miraflores 863, Puerto Natales, Chile;7. Instituto de Ecología y Biodiversidad (IEB), Santiago, Chile;8. Departamento de Ciencias Ecológicas, Universidad de Chile, Ñuñoa, Santiago, Chile
Abstract:This paper presents the design and application of fractional single-input–single-output (SISO) controllers to a grinding mill circuit, which is a multiple-input–multiple-output (MIMO) process. Two kinds of controllers are presented: fractional order proportional-integral (FOPI) controllers, and a combination of FOPI and fractional order model reference adaptive controllers (FOMRAC). The parameters of the controller are tuned using off-line particle swarm optimization. In the presence of disturbances and process noise, the SISO fractional controllers achieve similar or better performance compared to linear model predictive control (LMPC).
Keywords:Fractional order controllers  Model reference adaptive control  Grinding mill circuit  Particle swarm optimization  Process control  Comminution
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