Learning control of an autogenous grinding circuit

Autor:	Michel Bourassa, Juan Valenzuela, René del Villar, Kaddour Najim
Rok vydání:	1993
Předmět:	Engineering Automatic control Learning automata business.industry Control engineering Geotechnical Engineering and Engineering Geology Grinding Geochemistry and Petrology Robustness (computer science) Control theory Probability distribution Process control Hierarchical control system business
Zdroj:	International Journal of Mineral Processing. 40:45-56
ISSN:	0301-7516
DOI:	10.1016/0301-7516(93)90039-d
Popis:	This paper presents the results of the application of a new process control technique, the Learning Control, to a mineral processing operation. A hierarchical system of learning automata is used as a model of the controller. An empirical simulator capable of reproducing the dynamic of the autogenous grinding process is considered as the random environment in which the hierarchical system of automata operates. A probability distribution is associated to the manipulated variable. This distribution is continuously adjusted by the learning system using a reinforcement scheme. Numerical results have demonstrated its control properties, transparent tuning and robustness, while requiring minimal computational load.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d898ca7cdb91881d0313093d187d7829 https://doi.org/10.1016/0301-7516(93)90039-d Zobrazit plný text záznamu