针对变后掠翼飞行器变形过程中的姿态控制问题,利用动态逆控制原理与时标分离原则,结合神经网络能够消除误差的特性,设计了针对变后掠翼飞行器的神经网络PID自适应动态逆控制器。基于Dat-com建立了变后掠翼飞行器形变量与气动的关系模型。在控制器设计中将飞行器姿态运动划分为快慢系统,并利用神经网络自适应调节PID参数以增强控制系统的控制能力。仿真结果表明,所提出的自适应控制方法相比传统的PID控制能更高效地稳定变后掠翼飞行器在变形过程中的姿态角。

For the attitude control problem of the variableswept wing aircraft during the deformation process, this paper uses the dynamic inversion theory and the timescale decomposition principle, combined with the characteristics of the neural network to eliminate errors, to design the neural network PID adaptive dynamic inversion controller for the variableswept wing aircraft. Based on Datcom sofware, the relationship model between deformation and aerodynamics of the deformed aircraft is established. In the controller design, the attitude movement of the aircraft is divided into fast and slow systems, and the neural network is used to adaptively adjust the PID parameters to enhance the control ability of the system. The simulation results show that the adaptive control method proposed in this paper can stabilize the attitude angle of the sweptwing aircraft during the deformation process more efficiently than the traditional PID control.