Optimal control of a reverse osmosis desalination plant using multi-objective optimization

Gambier, Adrián; Wellenreuther, A.; Badreddin, Essameddin

doi:10.1109/cacsd-cca-isic.2006.4776841

Cited by 16 publications

(4 citation statements)

References 11 publications

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“…Furthermore, the presented approach can be used, independent of the controller structure, i.e. the cascaded structure was only an example, it is also applicable to other multiloop structures, see [10]. The game theory demonstrated to be a powerful theoretical tool to solve control problems and the work presented here is the first step of an ambitious plan.…”

Section: Discussionmentioning

confidence: 97%

Multi-loop controller design for a heat exchanger

Wellenreuther

Gambier

Badreddin

2006

2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006

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A new method to tune the parameters of two discrete controllers in a cascaded control structure is proposed and applied to the linear controller design of a heat exchanger system. Normally, this problem is solved either by decoupling the multiple loops and tuning the controllers independently or by keeping the structure but tuning the controllers consecutively from inwards to outwards. However, these methods are not always an appropriate solution. Therefore, this approach that is derivated from the game theory is applied in this paper for a heat exchanger system where discrete controllers of two cascaded loops act as players in a cooperative game. The players operate simultaneously and influence themselves. Each player has its own objective function, which also depends on parameters of the other players. Target of the game is to get values for the parameters, satisfying the objective functions of the players, which is done via multi-objective optimization.

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Section: Discussionmentioning

confidence: 97%

Multi-loop controller design for a heat exchanger

Wellenreuther

Gambier

Badreddin

2006

2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006

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“…In recent years, reverse osmosis desalination has widely expanded thanks to improved membrane technologies with high fluxes, low operating pressure, and the ability to withstand the harsh condition of feed water (Alatiqi et al, 1999). The reverse osmosis plants have lower energy consumption, investment cost, space requirements, and maintenance than other desalination processes (Gambier et al, 2006). Environmental impact comparisons between MSF and reverse osmosis systems shows that reverse osmosis has no thermal effect, whereas MSF causes significant thermal pollution (El‐Samanoudi et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…This control technique performed better compared to the PID‐based controller, and it also provided some robustness characteristics. Other reverse osmosis process controllers include fuzzy logic (Jafar and Zilouchian, 2002), optimal control (Gambier et al, 2006), fault‐tolerant control (), and neural network (Madaeni et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Advanced Control Synthesis for Reverse Osmosis Water Desalination Processes

Phuc¹,

You²,

Choi³

et al. 2017

Water Environment Research

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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.

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“…Bufu Huang [11] proposed MOEA to optimize parameters of power control strategy of series hybrid electric vehicle, which improved the economic and emission performance of the hybrid electric vehicle. A. Gambier [12] used an MOEA based multi-loop optimal control approach to a reverse osmosis desalination plant. The controller performs as good as the more complex ones, and with less implementation costs.…”

Section: Introductionmentioning

confidence: 99%

Design approach of weighting matrices for LQR based on multi-objective evolution algorithm

Liu

Wang

2008

2008 International Conference on Information and Automation

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Aiming at the difficulty of designing weighting matrices for linear quadratic regulator (LQR), a multi-objective evolution algorithm (MOEA) based approach is proposed. The LQR weighting matrices, state feedback control rate and optimal controller are obtained by means of establishing the multiobjective optimization model of LQR weighting matrices and applying MOEA to it, which makes control system meet multiple performance indexes simultaneously. Controller of double inverted pendulum system is designed using the proposed approach. Simulation results show that it has shorter adjusting time, smaller amplitude value deviating from steady-state than the pole assignment LQR weighting matrices design approach. So the validity of the proposed approach is confirmed.

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Optimal control of a reverse osmosis desalination plant using multi-objective optimization

Cited by 16 publications

References 11 publications

Multi-loop controller design for a heat exchanger

Multi-loop controller design for a heat exchanger

Advanced Control Synthesis for Reverse Osmosis Water Desalination Processes

Design approach of weighting matrices for LQR based on multi-objective evolution algorithm

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