Application of Blow-off Wind Tunnel Control Based on Genetic Algorithm Optimized BP-Neural Network PID Neural Network
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.
genetic algorithm neural network PID wind tunnel mach number simulation research
Ji Li Lian Xiaofei
College of electromechanical engineering, Shenyang Aerospace University Shenyang, China ,110136 718th research institute of china shipbuilding industry corporation Handan, China ,056027
国际会议
石家庄
英文
557-559
2012-10-26（万方平台首次上网日期，不代表论文的发表时间）