Optimal Decentralized Control for MIMO Systems
Abdulhamed, A., El-Gaafary, A. (2019). Optimal Decentralized Control for MIMO Systems. EKB Journal Management System, 1(1), 1-8. doi: 10.21608/ijaes.2019.169955
Ashraf M. Abdulhamed; Ahmed A. M. El-Gaafary. "Optimal Decentralized Control for MIMO Systems". EKB Journal Management System, 1, 1, 2019, 1-8. doi: 10.21608/ijaes.2019.169955
Abdulhamed, A., El-Gaafary, A. (2019). 'Optimal Decentralized Control for MIMO Systems', EKB Journal Management System, 1(1), pp. 1-8. doi: 10.21608/ijaes.2019.169955
Abdulhamed, A., El-Gaafary, A. Optimal Decentralized Control for MIMO Systems. EKB Journal Management System, 2019; 1(1): 1-8. doi: 10.21608/ijaes.2019.169955

Optimal Decentralized Control for MIMO Systems

International Journal of Applied Energy Systems
Article 1, Volume 1, Issue 1, January 2019, Page 1-8  XML PDF (1.78 MB)
Document Type: Original papers
DOI: 10.21608/ijaes.2019.169955
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Authors
Ashraf M. Abdulhamed email 1; Ahmed A. M. El-Gaafary2
1Electrical Engineering Dept. Faculty of Engineering Minia University El-Minia Egypt
2Electrical Engineering Dept., Faculty of Engineering Minia University El-Minia Egypt
Abstract
In this paper, an input decentralized control strategy is used to decompose MIMO system into many SISO subsystems. Placing the desired pole locations at a predetermined value by ITAE for each subsystem may lead to slow overall system eigenvalues because of the interactions among each interconnected subsystem and others. Linear quadratic optimal technique is applied over subsystem level in order to shift the slowest obtained pole locations into much more stable places, which in turn shift the slowest overall system eigenvalues and guarantee a higher stability degree. This procedure is repeated many times until all the desired poles are achieved.
Keywords
Decentralized input control; Linear quadratic optimal technique (LQR); MIMO system; Pole placement
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