【摘要】 针对反作用飞轮带有死区非线性输入特性的三轴稳定挠性航天器姿态机动控制问题,提出一种由变结构与神经网络自适应控制技术相结合的智能控制方法。首先,基于航天器非线性和低阶模态动力学模型设计了变结构输出反馈控制律,给出了滑模存在条件,保证闭环系统渐近稳定;其次,采用神经网络自适应控制技术对系统的不确定性因素进行补偿控制,并利用Lyapunov方法分析了系统的渐近稳定性。智能控制的引入使得控制器具有很强的自学习能力和自适应能力,可有效降低不确定因素对系统产生的影响。最后,将本文提出的控制策略应用于三轴稳定挠性航天器的姿态机动控制,仿真结果表明本文方法是行之有效的。更多还原

【Abstract】 An intelligent control algorithm combining variable structure control and neural network for attitude maneuvering of a three-axis stabilized flexible spacecraft with dead zone nonlinear input induced by flywheel reaction was proposed.First,a variable structure output feedback control law was designed on the basis of nonlinear and lower order mode of the spacecraft dynamic model.Then an existing slide condition and closed-loop asymptotical stability condition were given.Furthermore, network adaptive control technique was used to compensate system uncertainties and the stability analysis was conducted by using Lyapunov function.The introduction of intelligent control ensures the controller a good ability of self-learning and adaptation so that the influence of the uncertainty to the system was effectively reduced.Finally,the numerical simulations to the spacecraft were performed to demonstrate the effectiveness of the proposed method.更多还原