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针对在轨挠性卫星姿态跟踪时存在参数不确定、外部干扰以及控制输入受限等问题,提出了一种自适应L2增益控制方法.首先利用神经网络来逼近系统中的未知非线性动态特性,设计自适应控制律来处理系统中的不确定参数;其次设计了一鲁棒控制器使得干扰力矩对系统性能输出具有L2增益,从而实现对干扰的抑制控制.最后通过引入附加的输入误差系统,设计自适应L2增益控制器,使得当控制输入一旦超出幅值限制时能够立刻恢复到限制范围内,实现对输入受限问题的解决.仿真结果表明,该控制方法能够实现高精度的姿态跟踪控制,具有一定的可行性和有效性.
In order to solve the problems of uncertain parameters, external disturbance and limited control input, this paper presents an adaptive L2 gain control method for on-orbit flexible satellite attitude tracking.First, neural network is used to approximate the unknown nonlinear dynamic characteristics of the system, The adaptive control law is designed to deal with the uncertain parameters in the system.Secondly, a robust controller is designed to make the disturbance torque have L2 gain on the system performance output, so as to achieve the suppression of the interference.At last, by introducing an additional input error system, The adaptive L2 gain controller is designed so that the limit input can be recovered immediately after the control input exceeds the limit, which can solve the problem of limited input. The simulation results show that this control method can achieve high-precision attitude tracking control , With a certain degree of feasibility and effectiveness.