ISSN:
1572-9052
Keywords:
Time series analysis
;
identification
;
control
;
cement plant process
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract Cement plant process is full of internal noise sources and feedback loops. Therefore, statistical approach is required to understand its dynamic characteristics. Time series analysis has been applied to some important subprocesses of a cement plant process. These are the vertical mill process, calcining process and clinker cooling process. Based on the AR models of these, a set of optimum controllers have been designed by modern control theory. Successful results of application are reported in this paper. A method of determining optimal production level is also discussed.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00053056
Permalink
