Open AccessPerformance Evaluation with Multivariable and Multiloop control for a class of square MIMO systems
Author(s) -
S Sudhahar,
C. Ganesh Babu,
D Sharmila
Publication year - 2021
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/1084/1/012090
Subject(s) - multivariable calculus , control theory (sociology) , mimo , context (archaeology) , computer science , controller (irrigation) , process (computing) , square (algebra) , decentralised system , control (management) , control engineering , mathematics , engineering , channel (broadcasting) , computer network , paleontology , agronomy , geometry , artificial intelligence , biology , operating system
Two approaches (centralized and decentralized) for designing a multi-input, multi-output (MIMO) tracing/regulating process are described within article. The vast popular of industrial process control applications are whist focused on multi loop controllers, ignoring the feedback control attainment with advantages of centralized multivariable controllers. Due to their single loop nature, the plant interactions that are merely in use keen on relation in the controller tuning process cannot be suppressed by decentralized controllers. In many situations, therefore it would be beneficial to delimit the detrimental consequences in pairing among inputs and outputs of the closed loop system under certain context. The centralized model predictive controllers (MPC) and decentralized/multi-loop PI controllers are designed. In terms of integral Absolute Error (IAE), Integral Square Error (ISE), and Integral Time-weighted Absolute Error (ITAE), the output of both controllers is then compared. The results of the simulation showed that the MIMO MPC is better than the other suggested control schemes. The projected central controllers minimize interactions superior than the multi loop controllers that have recently been published.