Inferential cascade control of multi-effect falling-film evaporator

Karimi, Mahmood; Jahanmiri, A.; Azarmi, M.

doi:10.1016/j.foodcont.2006.06.009

Cited by 22 publications

(15 citation statements)

References 19 publications

(18 reference statements)

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“…This standard derivative g AD = dJ /dq e differs from the Fréchet derivative (12). Since the Fréchet derivative rather than the standard derivative is used in the CG algorithm, the derivative g AD needs to be scaled as follows.…”

Section: Implementation Detailsmentioning

confidence: 99%

“…Since the Fréchet derivative rather than the standard derivative is used in the CG algorithm, the derivative g AD needs to be scaled as follows. The ith entry of g AD is approximately equal to the Fréchet derivative (12) into the direction of the function ϕ i of the standard nodal basis of the finite-element space W , considering all discrete times and nodes on e . In formulae,…”

Section: Implementation Detailsmentioning

confidence: 99%

“…The analysis of heat and mass transfer in falling films is of high practical relevance in food and dairy industries where it is increasingly important to model, simulate and control the underlying processes in evaporators better; see [1,12,15,16] for recent publications in this area. Here, we are interested in a particular falling film simulation introduced in [9] where a wavy film travels along one side of a thin constantan foil that is heated electrically from the other side.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Discrete and continuous adjoint approaches to estimate boundary heat fluxes in falling films

Bücker

Willkomm

Groß

et al. 2011

Optimization Methods and Software

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A wavy falling film simulation is considered in which a liquid travels along one side of a thin metal foil that is heated electrically from the opposite side. The direct problem consists of a three-dimensional heat conduction equation on a cuboid domain representing the foil with suitable initial and boundary conditions. The inverse problem consists of determining the heat flux on the film side of the foil from a given distribution of the temperature on the heating side. Two different adjoint approaches for the solution of this inverse problem are compared. In the continuous adjoint approach, the adjoint problem is analytically derived from the direct problem and then discretized. In the discrete adjoint approach, the direct problem is discretized, from which an adjoint code is generated by means of the reverse mode of automatic differentiation. Numerical experiments are reported, demonstrating the advantages and disadvantages of the two approaches.

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Section: Implementation Detailsmentioning

confidence: 99%

Section: Implementation Detailsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Discrete and continuous adjoint approaches to estimate boundary heat fluxes in falling films

Bücker

Willkomm

Groß

et al. 2011

Optimization Methods and Software

View full text Add to dashboard Cite

show abstract

“…Inferential control was originally used to solve the problem caused by non-measurable main output and disturbance, and the basic method was later widely used in the process with measurable output and non-measurable disturbance; then the inferential control under the condition of measurable output is formed [1][2][3] . Under the condition that output is measurable and disturbance is immeasurable, the block diagram of inferential control system can be simplified as Fig.1.…”

Section: Inferential Controlmentioning

confidence: 99%

Feed-forward and inferential control and its application

Pan

Dong

Yuan

et al. 2007

2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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Inferential control system has many excellent performances such as disturbance resisting and set-point tracking, however, the application is restricted when strong load disturbance exists or stable control accuracy and response speed are highly required in the system. Feed-forward control system responds quickly to the system with measurable disturbance, but the control accuracy is easily affected by disturbance, so there will be a big error if the disturbance model is not accurate enough. Compound control algorithm which combines the feedforward and inferential control algorithm is proposed in this paper. Feed-forward control algorithm is used to cancel the loadtorque disturbance. Inferential control algorithm is used to cancel the error caused by soft sensing method. It is used to control the speed control of guide disc. The accuracy, robustness and fast response of the control system are proved by simulation.

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“…In order to solve this problem, inferential control is adopted. Inferential control was originally used to solve the problem caused by non-measurable main output and disturbance, the basic method was later widely used in the process with measurable output and nonmeasurable disturbance, then the inferential control under the condition of measurable output is formed [6]- [8]. Under the condition that output is measurable and disturbance is immeasurable, the block diagram of inferential control system can be simplified as figure 5.…”

Section: Design Of Guide Disc Speed Inferential Controllermentioning

confidence: 99%

Control of Guide Disk speed of Rotary piercer

Xiao¹,

Pan²,

Yuan³

et al. 2007

Proceedings on Intelligent Systems and Knowledge Engineering (ISKE2007)

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It has been a long harassment to seamless tubes production that its productivity will be largely affected by the pause caused in adjusting the craft parameters of piercer. A rebuilding method of guide disc is proposed. Load-torque is predicted by soft measure method in the model and its disturbance is canceled by the feed-forward control algorithm. As for the error caused by soft sensing method, inferential control algorithm is applied to avoid it. The compound control algorithm system works to realize the final speed control of guide disc, and its accuracy, robustness and fast response have been proved validated in simulation.

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Inferential cascade control of multi-effect falling-film evaporator

Cited by 22 publications

References 19 publications

Discrete and continuous adjoint approaches to estimate boundary heat fluxes in falling films

Discrete and continuous adjoint approaches to estimate boundary heat fluxes in falling films

Feed-forward and inferential control and its application

Control of Guide Disk speed of Rotary piercer

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