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TECHNICAL PAPERS: Porous Media, Particles, and Droplets

Adaptive Neurocontrol of Heat Exchangers

[+] Author and Article Information
Gerardo Dı́az, Mihir Sen, K. T. Yang, Rodney L. McClain

Hydronics Laboratory, Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556

J. Heat Transfer 123(3), 556-562 (Jan 08, 2001) (7 pages) doi:10.1115/1.1370512 History: Received March 20, 2000; Revised January 08, 2001
Copyright © 2001 by ASME
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References

Figures

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IMC with integral control
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Controllers: (a) non-adaptive, (b) adaptive
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Tracking of a dynamical system by an ANN; (a) adaptation for target error ≥5 percent; (b) adaptation for target error ≥1 percent; — numerical solution; –– ANN prediction
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Result of using a 2-4-1 ANN as an iterated map; i is the time index and yi+1 is the output
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Simultaneous optimization criteria; training curve is continuous line, path of dynamical system is shown with +
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x,y, and z versus discrete time index
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Schematic of test facility: (a) wind tunnel; (b) heat exchanger connections
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Response to change in the Touta set point
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Response to water-side disturbance
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Response to air-side disturbance; gradual reduction of the inlet air area
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Response to air-side disturbance; sudden reduction of the inlet air area
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Energy consumption surface E(va,ṁw)
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Application of energy minimization routine. ṁw is reduced to consume less energy and as a consequence, ṁa is also reduced.

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