Title :
Isotope Online Ore Pulp Concentration Gauge Using Fuzzy Logic
Author :
Yaogeng, Tang ; Song, Gao ; Huibin, Ouyang ; Lanjun, Li
Author_Institution :
Univ. of South China, Heng Yang
Abstract :
Measurement with isotope has been a primary method for measuring ore pulp concentration all alone, the derived concentration value is the result of a time-averaged measurement. In order to decrease statistical error, longer measuring time should be adopted by isotope ore pulp concentration gauge to performs measurement. However, the gauge cannot respond quickly and dynamic measurement error will be higher due to longer measuring time when input signal changes rapidly. Hence, fuzzy logic was employed to control the gauge operation and adjust the measuring time according to variations of the input signal. Simulation results show that the proposed method improves both the dynamic behavior and statistical accuracy of the gauge.
Keywords :
chemical variables measurement; fuzzy logic; isotopes; mineral processing industry; minerals; statistical analysis; fuzzy logic; isotope measurement; isotope online ore pulp concentration gauge; statistical error; Electric variables measurement; Error correction; Filters; Fuzzy logic; Isotopes; Measurement errors; Performance evaluation; Q measurement; Time measurement; Isotope; adaption; fuzzy logic; ore pulp concentration; time of measurement;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346843
