KoREMA - Croatian Society for Communications, Computing, Electronics, Measurement and Control
Abstract
The paper focuses on identification issues of the advanced controller ASPECT* that is implemented on a simple PLC platform with an extra mathematical coprocessor and is intended for the advanced control of complex plants. The model of the controlled plant is obtained by means of experimental modelling using an online learning procedure that combines model identification with pre- and post-identification steps that provide reliable operation. It is shown that acceptable performance of the system is obtained despite difficult conditions that may arise during operation.Ovaj se rad usredotočuje na problematiku identifikacije na osnovi naprednog regulatora ASPECT* implementiranog na jednostavnoj PLC platformi s dodatnim matematičkim koprocesorom, koji se želi koristiti za naprednu regulaciju složenih postrojenja. Model reguliranog postrojenja dobiva se eksperimentalnim modeliranjem, pri čemu se koristi on-line procedura učenja s pred- i post-identifikacijskim koracima koji osiguravaju pouzdan rad. Pokazano je da se prihvatljive performance sustava dobivaju unatoč teškim uvjetima koji se mogu pojaviti tijekom rada
