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第三十九届中国控制会议

作者： Feng Yu Cheng Yan Jianhua Qin Ziqi Tang Xin Huang School of Information Science and Engineering Northeastern University China Aerodynamics Research and Development Center

Aiming at the PID algorithm adopted in the wind tunnel static pressure control cannot meet the precision requirement at present, DMC algorithm is adopted in this paper to control the static pressure of the wind tunnel system. DMC algorithm is adopted to design the controller of the choke finger system to achieve high precision static pressure control. Aiming at the condition that the control precision is reduced due to the inaccurate attack angle step response model in the high attack angle experiment process, the method of off-line correction of the attack angle step response model according to the experiment result of one time is adopted in this paper, and the control precision is improved when the experiment is carried out again. The simulation result verifies the effectiveness of the DMC algorithm and the model correction.

关键词： wind tunnel system static pressure choke finger dynamic matrix control model correction

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NARX-GA-Elman Method for Mach Number Prediction of wind tunnel Flow Field

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Instrumentation 2023年第4期10卷 50-63页

作者： SHAO Yawen ZHAO Luping College of Information Scienceand Engineering Northeastern UniversityShenyang 110819China

Mach number is a key metric in the evaluation of wind tunnel flow field *** complex process of wind tunnel test mainly has the problems of nonlinearity and time *** order to overcome the problems and control the Mach number stability,this paper proposes a new method of Mach number prediction based on a nonlinear autoregressive exogenous-genetic algorithm-Elman(NARX-GA-Elman)model,which adopts NARX as the basic framework,determines the order of the input variables by using the false nearest neighbor(FNN),and uses the dynamic nonlinear network Elman to fit the model,and finally uses the global optimization algorithm GA to optimize the weight thresholds in the model to establish the Mach number prediction model with optimal performance under single working *** comparing with the traditional algorithm,the prediction accuracy of the model is improved by 61.5%,and the control accuracy is improved by 55.7%,which demonstrates that the model has very high prediction accuracy and good stability performance.

关键词： wind tunnel system Predictive Control Mach Number Prediction NARX-GA-Elman

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