Konferenční příspěvek

Ettler P., Kárný M.

Preprints of the 13th IFAC Symposium on Automation in Mining, Mineral and Metal Processing (IFAC MMM 2010), 2010, Cape Town, South Africa

2010

63-68

Dr. Ing. Pavel Ettler (COMPUREG Plzeň, s. r. o.)

parameter estimation, process model, steel industry

Model-based predictors and controllers frequently depend on efficient recursive estimation of model parameters. Similarly often, there are known hard bounds on parameter values. Adaptive control applied for rolling mills represents a typical example of such case. While common estimation algorithms are elaborated enough to be utilized in industrial practice, it is difficult to find implementation of bounded estimation, which is both formally consistent and suitable for reliable applications. Solution offered in this paper is based on simultaneous run of two or more proven estimators different in applied process models. Both simulated and real data examples are provided.