挠性卫星姿态快速稳定智能控制

针对挠性卫星本身存在的参数不确定性和外部扰动的控制问题,设计了以径向基函数神经网络和小脑神经网络为基础的复合变结构智能控制器.该控制器利用变结构控制系统对被控对象的模型误差、参数变化及外扰等的不敏感性的优点,再结合神经网络能够迅速逼近未知函数、泛化能力强的特点,可以适应挠性卫星参数不确定性和抑制外加干扰,实现对挠性卫星的有效控制.仿真结果表明复合控制能够提高卫星姿态的稳态精度和快速性. 

Intelligent control for attitude rapid stabilization of flexible satellites

The attitude control of a flexible satellite with system parameter uncertain and disturbances was investigated. A variable structure intelligent controller based on the radial basis function (RBF) neural network and the cerebellar model articulation controller (CMAC) was designed. By using the merit of insensitivity to model error, parameter uncertain and disturbances of variable structure controller systems, in combination with the characteristics of quick approximation to unknown functions and good generalization ability of neural networks, the controller overcomes the influences of parameter uncertain and disturbances, and achieves the effective control of the flexible satellite. Simulation results show that the proposed control algorithm can improve the attitude accuracy and response speed of the flexible satellite.