The paper presents the analysis and control for an Interconnected multivariable system which simulates the behaviour of a subsystem of real chemical ammonia conversion process in SEHADCO. An ARHA model is constructed - using a discrete dynamic system - in a difference equation form able for testing stability. and in a matrix fan for applying control techniques. Since relative gains provide a useful measure of interaction indices, so relative gain matrix procedure is followed for modifying the interconnected static gains through introducing computing relays with adjustable gains in the open loop control system for ensuring composite system stability. Pole assignment technique is used for designing the sui table closed-loop strategy for composite system . Numerical results agree with the effectiveness of both of the suggested interconnected computing relays and the designed control strategy.
El-Konayaly, E., & Soliman, K. (2021). Stability and Control for Interconnected Multivariable Systems.. MEJ- Mansoura Engineering Journal, 19(2), 1-14. doi: 10.21608/bfemu.2021.163413
MLA
El-Sayed Hassan El-Konayaly; Kamel Mohamed Soliman. "Stability and Control for Interconnected Multivariable Systems.". MEJ- Mansoura Engineering Journal, 19, 2, 2021, 1-14. doi: 10.21608/bfemu.2021.163413
HARVARD
El-Konayaly, E., Soliman, K. (2021). 'Stability and Control for Interconnected Multivariable Systems.', MEJ- Mansoura Engineering Journal, 19(2), pp. 1-14. doi: 10.21608/bfemu.2021.163413
VANCOUVER
El-Konayaly, E., Soliman, K. Stability and Control for Interconnected Multivariable Systems.. MEJ- Mansoura Engineering Journal, 2021; 19(2): 1-14. doi: 10.21608/bfemu.2021.163413
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