USE OF DISTRIBUTED PARAMETER SIMULATION IN TEMPERATURE CONTROL OF A BOTTLE PRODUCTION FOREHEARTH

1983 ◽  
pp. 275-279 ◽  
Author(s):  
R. Engelen ◽  
J.A. Peperstraete
Keyword(s):  
Temperature Control ◽  
Distributed Parameter ◽  
Bottle Production

scholarly journals Open-loop temperature control for a distributed parameter model of a pipe

2020 ◽  
Vol 53 (2) ◽  
pp. 7765-7770
Author(s):  
Simon Bachler ◽  
Jens Wurm ◽  
Frank Woittennek
Keyword(s):  
Temperature Control ◽  
Open Loop ◽  
Distributed Parameter ◽  
Distributed Parameter Model

Research of Intelligent Control Methods for Hot Strip’s Coiling Temperature

2010 ◽  
Vol 439-440 ◽  
pp. 236-240
Author(s):  
Wei Zhao ◽  
Yu Liang Chen ◽  
Wen Juan Huang
Keyword(s):  
Temperature Control ◽  
Intelligent Control ◽  
Control Method ◽  
Distributed Parameter ◽  
Matlab Simulation ◽  
Laminar Cooling ◽  
Coiling Temperature ◽  
Paper Briefly ◽  
Coiling Temperature Control ◽  
Strip Production

This paper briefly describes the importance of coiling temperature control in the strip production process, and analysis which shows that the current existence of coiling temperature control is difficult, for the laminar cooling process is one with a strong non-linear, distributed parameter, time-varying. Intelligent control method is presented and carried out with the Matlab simulation. The simulation result shows that this method will enable the ultimate precision of coiling temperature control within 5 °C.

Application Study on Distributed Predictive Control of Beer Fermentation Temperature

2014 ◽  
Vol 513-517 ◽  
pp. 4525-4528
Author(s):  
Shang Ji Liang ◽  
Wang Chan Chan
Keyword(s):  
Time Delay ◽  
Predictive Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Large Time ◽  
Control Model ◽  
Distributed Parameter ◽  
Application Study ◽  
Beer Fermentation ◽  
Fermentation Temperature

As the temperature process of beer fermentation has a large time delay, strong coupling and distributed parameter, the process requirements are difficult to satisfy for conventional control. The beer fermentation temperature control model was developed and the Smith compensation and distributed predictive control algorithm were proposed. The simulation shows that the algorithm can satisfy the technological requirements very well.

Active Thermal Control of Distributed Parameter Systems With Application to Testing of Packaged IC Devices

2003 ◽  
Vol 125 (1) ◽  
pp. 164-174 ◽  
Author(s):  
Matthew Sweetland ◽  
John H. Lienhard
Keyword(s):  
Temperature Control ◽  
Thermal Load ◽  
Thermal Control ◽  
Test Sequence ◽  
Distributed Parameter ◽  
Fundamental Limits ◽  
Package Design ◽  
Control Power ◽  
Thermal Capacitance ◽  
Accurate Performance

Active control of the die-level temperature is desirable during production testing of high power microprocessors, so as to ensure accurate performance classification. Such control requires that the controlling thermal load time-lead the dissipated thermal load and that it be modulated to account for the distributed thermal capacitance and resistance of the device packaging. The analysis in this paper demonstrates fundamental limits of temperature control for typical devices under test conditions. These limits are identified for specified control power to die power ratios. The effects of test sequence design and device package design on the temperature control limits are also examined. The theory developed can be applied to any thermal control problem where a conductive medium separates the control source from the location where control is desired.

A High Angle, Double Tilting Cold Stage for the AEI EM7

1974 ◽  
Vol 32 ◽  
pp. 450-451
Author(s):  
P.R. Swann ◽  
A.E. Lloyd
Keyword(s):  
Habit Plane ◽  
Temperature Control ◽  
Tilt Angle ◽  
Cooling System ◽  
Thermal Drift ◽  
High Angle ◽  
Cold Stage ◽  
High Degree ◽  
Better Than

Figure 1 shows the design of a specimen stage used for the in situ observation of phase transformations in the temperature range between ambient and −160°C. The design has the following features a high degree of specimen stability during tilting linear tilt actuation about two orthogonal axes for accurate control of tilt angle read-out high angle tilt range for stereo work and habit plane determination simple, robust construction temperature control of better than ±0.5°C minimum thermal drift and transmission of vibration from the cooling system.

Behavioral Temperature Control

1981 ◽  
Vol 26 (8) ◽  
pp. 636-637
Author(s):  
James M. Lipton
Keyword(s):  
Temperature Control
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