Abstract
Decoupling control is a notable strategy for MIMO processes to dispose of the impacts of undesirable process interactions. It is a compelling instrument for MIMO process; outer disturbances actually have erase severe impacts on control execution of the closed loop structures. The extended 2-DOF control calculation for the MIMO measures in which the greater part of the controllers to decouple the frameworks first and afterward the controller is intended for the decoupled loops. This eventually builds the intricacy of the system design. This method requires the decoupled PID controller i.e., ‘n’ diagonal controllers for ‘n’ variable processes in addition to two off diagonal lead/lag filters for MIMO processes to achieve the desired performance. But the decoupler requires the exact mathematical model of the processes. If there is any errors occur in the modeling of physical processes, it may not give the satisfactory performance. To overcome these limitations of decoupled control system, a centralized PID controller is proposed. A centralized control system requires, ‘n2’ PID controllers for ‘n’ variable processes will give better response irrespective of model errors. Among these, main diagonal controllers improve the performance and off diagonal reduce the combinability effects of variables in the MIMO processes. The PID controller will be tuned by frequency response approaches to reduce the steady state errors like IAE. The proposed method with disturbance approach in the loop will give improved performance than existing approaches.
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References
Hao Y et al (2020) Decoupling controller with disturbance observer for LTI MIMO systems. Asian J Control 22(2): 831–840
Wood RK, Berry MW (1973) Terminal composition control of a binary distillation column. Chem Eng Sci 28(9):1707–1717
Zhang W (2011) Quantitative process control theory, vol 45. CRC Press, Boca Raton
Xiong Q, Cai W-J, He M-J (2005) A practical loop pairing criterion for multivariable processes. J Process Control 15:741–747
Wang Q-G, Huang B, Guo X (2000) Auto-tuning of TITO decoupling controllers from step tests. ISA Trans 39(4): 407–418
Vu TNL, Lee M (2009) Independent design of Multiloop PI/PID controllers for Multi-delay processes, World Academy Science, Engineering and Technology (60):703–708
Tavakoli S, Griffin I, Fleming PJ (2006) Tuning of decentralised PI (PID) controllers for TITO processes. Control Eng Pract 14(9):1069–1080
Seborg DE et al (2010) Process dynamics and control. Wiley
Hanuma NR, Ashok Kumar DV, Anjaneyulu KSR (2014) Control configuration selection and controller design for multivariable processes using normalized gain. World Acad Sci Eng Technol Int J Electr Comput Electron Commun Eng 8(10)
Shen Y, Sun Y, Li S (2012) Adjoint transfer matrix based decoupling control for multivariable processes. Ind Eng Chem Res 51(50):16419–16426
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Anitha, S., Kiranmayi, R., Nagabhushanam, K., Firdose Kowser Ahamadia, K. (2022). Improved Centralized PID Controller with Disturbance Rejection for LTI Multivariable Processes. In: Ibrahim, R., K. Porkumaran, Kannan, R., Mohd Nor, N., S. Prabakar (eds) International Conference on Artificial Intelligence for Smart Community. Lecture Notes in Electrical Engineering, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-16-2183-3_5
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DOI: https://doi.org/10.1007/978-981-16-2183-3_5
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