A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Advanced Control Synthesis for Reverse Osmosis Water Desalination Processes
In this study, robust control synthesis has been applied to a reverse osmosis desalination plant whose product water flow and salinity are chosen as two controlled variables. The reverse osmosis process has been selected to study since it typically uses less energy than thermal distillation. The aim of the robust design is to overcome the limitation of classical controllers in dealing with large parametric uncertainties, external disturbances, sensor noises, and unmodeled process dynamics. The analyzed desalination process is modeled as a multi‐input multi‐output (MIMO) system with varying parameters. The control system is decoupled using a feed forward decoupling method to reduce the interactions between control channels. Both nominal and perturbed reverse osmosis systems have been analyzed using structured singular values for their stabilities and performances. Simulation results show that the system responses meet all the control requirements against various uncertainties. Finally the reduced order controller provides excellent robust performance, with achieving decoupling, disturbance attenuation, and noise rejection. It can help to reduce the membrane cleanings, increase the robustness against uncertainties, and lower the energy consumption for process monitoring.
Advanced Control Synthesis for Reverse Osmosis Water Desalination Processes
In this study, robust control synthesis has been applied to a reverse osmosis desalination plant whose product water flow and salinity are chosen as two controlled variables. The reverse osmosis process has been selected to study since it typically uses less energy than thermal distillation. The aim of the robust design is to overcome the limitation of classical controllers in dealing with large parametric uncertainties, external disturbances, sensor noises, and unmodeled process dynamics. The analyzed desalination process is modeled as a multi‐input multi‐output (MIMO) system with varying parameters. The control system is decoupled using a feed forward decoupling method to reduce the interactions between control channels. Both nominal and perturbed reverse osmosis systems have been analyzed using structured singular values for their stabilities and performances. Simulation results show that the system responses meet all the control requirements against various uncertainties. Finally the reduced order controller provides excellent robust performance, with achieving decoupling, disturbance attenuation, and noise rejection. It can help to reduce the membrane cleanings, increase the robustness against uncertainties, and lower the energy consumption for process monitoring.
Advanced Control Synthesis for Reverse Osmosis Water Desalination Processes
Phuc, Bui Duc Hong (author) / You, Sam‐Sang (author) / Choi, Hyeung‐Six (author) / Jeong, Seok‐Kwon (author)
Water Environment Research ; 89 ; 1932-1941
2017-11-01
10 pages
Article (Journal)
Electronic Resource
English
WAVE-POWERED REVERSE-OSMOSIS DESALINATION
| British Library Online Contents | 2001
Desalination: From Reverse to Forward Osmosis
| British Library Conference Proceedings | 2013
Behavior of Trihalomethane in reverse osmosis desalination processes for seawater
| Online Contents | 1995
Behavior of Trihalomethane in reverse osmosis desalination processes for seawater
| British Library Conference Proceedings | 1995