翼型激波抖振的无模型自适应控制

任凯; 高传强; 张伟伟

doi:10.7638/kqdlxxb-2021.0297

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翼型激波抖振的无模型自适应控制

翼型研究新进展 | 更新时间：2026-05-28

- 翼型激波抖振的无模型自适应控制
- Model-free adaptive control of shock buffet flow over an airfoil
- 空气动力学学报 2021年39卷第6期页码：149-155
- 作者机构：
  
  1. 西北工业大学航空学院,西安,710072
  2. 流体力学智能化国际联合研究所,西安,710072
- 作者简介：
  
  任凯（1997-），男，博士生，研究方向：流动控制和气动弹性控制. E-mail：renkai@mail.nwpu.edu.cn
  高传强*（1988-），男，教授，研究方向：流体力学/气动弹性力学. E-mail：gaocq@nwpu.edu.cn
- 基金信息：
  
  国家自然科学基金（11902269）;航空基金（2019ZH053003）
- DOI：10.7638/kqdlxxb-2021.0297
  中图分类号： O354;V211.41
- 纸质出版：2021
- 稿件说明：
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任凯, 高传强, 张伟伟. 翼型激波抖振的无模型自适应控制[J]. 空气动力学学报, 2021, 39(6): 149−155.

REN Kai, GAO Chuanqiang, ZHANG Weiwei. Model-free adaptive control of shock buffet flow over an airfoil[J]. 2021, 39(6): 149-155.
任凯, 高传强, 张伟伟. 翼型激波抖振的无模型自适应控制[J]. 空气动力学学报, 2021, 39(6): 149−155. DOI： 10.7638/kqdlxxb-2021.0297

REN Kai, GAO Chuanqiang, ZHANG Weiwei. Model-free adaptive control of shock buffet flow over an airfoil[J]. 2021, 39(6): 149-155. DOI： 10.7638/kqdlxxb-2021.0297.

摘要

由于受到流动环境中的不确定因素影响，针对流动系统设计的闭环控制律需要考虑这些不确定因素，自动适应随机扰动和突发扰动。基于流动模型所设计的闭环最优控制，虽然可以以较小的控制量获得满足目标函数的最优控制效果，但随着流动模型的引入，随之而来的建模精度、未建模动态等问题也会出现，固定的流动模型也会限制控制系统的自适应能力。针对翼型在跨声速流动中遇到的激波抖振问题，为了消除不同来流状态的激波抖振带来的脉动载荷，开展了基于数据驱动方法的无模型自适应控制。流场数值仿真采用URANS方法，作动机构采用尾缘舵面，以升力系数作为反馈信号。当流动状态变化时，无模型自适应控制利用输入输出数据在线将流动系统等价转化为动态线性化数据模型，最小化性能指标得到控制律，使系统自动地工作于最优或接近最优的状态。时域仿真结果显示，无模型自适应控制效果优于开环控制和比例控制，并且当来流状态随时间发生变化时，无模型自适应控制也能够完全消除抖振脉动载荷。

Abstract

Due to the existence of various disturbances and uncertainties in complex flow environments

the design of flow control systems needs to consider these uncertainties and to adjust the control law automatically to adapt to random and abrupt disturbances. The closed-loop optimal control based on low-order linear models

which is widely used at present

can obtain the predetermined control effect with a small amount of control input

but the modelling accuracy and the unmodeled dynamics of the reduced-order models can greatly limit the adaptive ability of such control strategies. In this study

aiming at the shock buffet problem of airfoils in transonic flow

a model-free adaptive control (MFAC) based on the data-driven method was carried out to eliminate the fluctuating load caused by the shock buffet in different freestream states. The control uses the unsteady Reynolds Average Navier-Stokes (URANS) method for the flow field simulation

the trailing-edge flap as the actuator

and the lift coefficient as the feedback signal. When the flow state changes

the data-driven MFAC uses the input and output data to convert the flow system into a dynamic linearized data model online and minimizes the performance index to obtain the control law

to make the system automatically work in the optimal or close to the optimal state. The simulation results show that MFAC is better than existing open-loop control and proportional control strategies

and can completely suppress the buffet load even if the freestream state changes.

关键词

Keywords

references

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