Open AccessInverted decoupling MIMO internal model control using Mp tuning
Author(s) -
Zahrotul Azizah,
Juwari Juwari,
Renanto Handogo,
Riza Aris Hikmadiyar
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/736/2/022101
Subject(s) - decoupling (probability) , mimo , control theory (sociology) , multivariable calculus , internal model , computer science , control engineering , engineering , control (management) , telecommunications , channel (broadcasting) , artificial intelligence
Chemical industry requires a very high-security level and thus requires better process control. Each operating unit needs different operating conditions depending on where one unit with another unit often interact with each other. A very strong interaction process requires multivariable controller. Illustrative examples such as wood & berry and deisobutanizer dual condenser columns are given to show the performance of the proposed control scheme where both processes have time delay and interaction between variables. In this study, not only select the pairing but also add the strategy of inverted decoupling to reduce interactions between process variables. The controller used is MIMO IMC with maximum peak (Mp) stability criteria tuning method. Inverted decoupling MIMO IMC is able to obtain better performance than decoupling MIMO IMC and MIMO IMC without decoupling.