Mach Number Predictive Control for Multi-condition Wind Tunnel System

In the process of wind tunnel experiment, the speed and accuracy of Mach number prediction directly affect the quality of wind tunnel, which needs to be accurately predicted and controlled. Due to the complex process flow in the wind tunnel test, the system has the characteristics of nonlinear, time-delay and multi-operating conditions. The traditional control strategy is difficult to ensure the stability of the Mach number. To solve the above problems, the NARX-BP Mach number prediction model is established for the flow field Mach number in the wind tunnel under single working conditions, and the IOSBC-GA method is proposed for model migration between different working conditions. Therefore, predictive control of the Mach number can be accomplished for the multi-condition wind tunnel system.