Application of Blow-off Wind Tunnel Control Based on Genetic Algorithm Optimized BP-Neural Network PID Neural Network

Li Ji; Xiao Fei Lian

doi:10.4028/www.scientific.net/AMM.310.557

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 310Application of Blow-off Wind Tunnel Control Based...

Application of Blow-off Wind Tunnel Control Based on Genetic Algorithm Optimized BP-Neural Network PID Neural Network

Abstract:

For a blow-off tunnel running, there is the large delay and lag issues. We build a mathematical model of the wind tunnel Mach number control by the test modeling method, then analyse the pros and cons of various control methods based on BP neural network control algorithm. Put forward genetic algorithm optimization neural network adaptive control method to solve the large inertia of the wind tunnel system, and large delay. A large number of simulation studies, run a variety of operating conditions for the wind tunnel simulation proved that the improved adaptive neural network PID control method is reasonable and effective.

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Periodical:

Applied Mechanics and Materials (Volume 310)

Pages:

557-559

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.310.557

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Online since:

February 2013

Authors:

Li Ji, Xiao Fei Lian

Keywords:

Genetic Algorithm (GA), Mach Number, Neural Network PID, Simulation Research, Wind Tunnel

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