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为提高风洞侧壁边界层控制系统性能,文中通过介绍NF-3大型低速翼型风洞多喷嘴级联吹气侧壁边界层控制系统的结构和原理,分析并优化侧壁边界层控制系统的控制算法,利用MATLAB软件实现了对优化前与优化后的控制算法的仿真,并对仿真结果进行了分析。仿真结果表明:神经网络自适应PSD控制算法可提高控制系统的稳定性、准确性和响应速度,在一定程度上能够减小阀门的时滞性和非线性对控制结果的影响。
In order to improve the performance of the control system on the side wall of the wind tunnel, the paper introduces the structure and principle of the NF-3 large-scale low-speed airfoil multi-nozzle cascade blowing side wall boundary layer control system, analyzes and optimizes the control system of the sidewall boundary layer The control algorithm is optimized with MATLAB software before and after optimization. The simulation results are also analyzed. The simulation results show that the neural network adaptive PSD control algorithm can improve the stability, accuracy and response speed of the control system, to a certain extent, reduce the valve delay and nonlinear effects on the control results.