scholarly journals Preliminary Simulations of Ullage Dynamics in Microgravity during Jet Mixing Portion of the Tank Pressure Control Experiments

2015 ◽  
Author(s):  
Jeffrey Moder ◽  
Kevin Breisacher
Keyword(s):  
Pressure Control ◽  
Jet Mixing ◽  
Tank Pressure

scholarly journals LH2 tank pressure control by thermodynamic vent system (TVS) at zero gravity

2017 ◽  
Vol 171 ◽  
pp. 012046
Author(s):  
B. Wang ◽  
Y. H. Huang ◽  
Z. C. Chen ◽  
J. Y. Wu ◽  
P. Li ◽  
...  
Keyword(s):  
Pressure Control ◽  
Zero Gravity ◽  
Tank Pressure

Tank Pressure Control Experiment - Results of three space flights

1997 ◽  
Author(s):  
Michael Bentz ◽  
Jihad Albayyari ◽  
Richard Knoll ◽  
Mohammmad Hasan ◽  
Chin Lin ◽  
...  
Keyword(s):  
Control Experiment ◽  
Pressure Control ◽  
Space Flights ◽  
Tank Pressure ◽  
Three Space

Experimental Studies on Pressure Control Using Intelligent PI Fuzzy Supervisory Approach

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Palani Sivashanmugam ◽  
N. Kanagaraj ◽  
R. Kumar
Keyword(s):  
Control Method ◽  
Fuzzy Controller ◽  
Experimental Studies ◽  
Pressure Control ◽  
Operating Conditions ◽  
Real Time Control ◽  
Time Control ◽  
Executable File ◽  
Pressure Control System ◽  
Tank Pressure

Fuzzy supervisory control scheme for regulating the tank pressure in a pilot pressure control system has been presented. The controller structure has been designed in such a way as to adjust on-line the parameters of a classical PI controller that will reduce the human involvement in tuning the controller parameters at different operating conditions. The control algorithm for the proposed scheme has been developed using KEIL software and then converted into an executable file before downloading it to an ARM7 (AT91M55800A) based embedded target board. The pipeline execution and RISC architecture of ARM7 target board enhances the computation speed in real time control applications. Experimental study has been carried out to test the performance of the proposed supervisory fuzzy controller and the results were compared with classical control method. Better control performance using supervisory fuzzy controller has been obtained.

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