Abstract
The application of fuzzy logic controllers (FLCs) to the control of nonlinear processes, typically controlled by a human operator, is a topic of much study. In this paper, the design and application of a FLC is discussed to control the plenum chamber temperature for a blowdown supersonic wind tunnel (BSWT) with the aim of achieving the accurate and desired results. In this regard, first, a nonlinear mathematical model of special BSWT is developed in Matlab/Simulink software environment. Next, an artificially intelligent controller is designed using fuzzy logic approach. For this purpose, a proportional-derivative FLC (PD-FLC) system is developed in the Simulink toolbox to control the plenum stagnation temperature using a heater upstream of the plenum chamber. Finally, the system simulation results inside of the temperature and pressure controllers in comparison with the experimental run are presented. The results for Mach 2.5 blowdown run show the great performance of the Wind Tunnel Simulator Model and its temperature controller system.
Highlights
Blowdown supersonic wind tunnels (BSWTs) deliver flow at constant stagnation temperature and pressure
The stagnation temperature is generally regarded to be equal to the plenum temperature which is controlled by heater upstream of the plenum chamber
BSWTs are generally operated with a constant stagnation pressure in the plenum chamber, with control usually provided by one or more pressure control valves
Summary
Blowdown supersonic wind tunnels (BSWTs) deliver flow at constant stagnation temperature and pressure. The storage tank temperature and pressure that supplies plenum chamber flow decrease continuously. To maintain a constant stagnation temperature in the plenum chamber, a heater must operate continuously during a supersonic run [1,2,3]. The design and application of a FLC for the control of plenum chamber temperature in several wind tunnels at NASA’s Langley Research Center (LaRC) in Hampton, VA, is described [8]. The intelligent controlling approaches like fuzzy logic (FL) will provide the required scope for wind tunnels to be more efficient, safe, and economic. A PD-FLC system is developed in the Simulink toolbox to control the plenum stagnation temperature. The simulation results for a Mach 2.5 blowdown run in comparison with the experimental results are presented along
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
