研究初始姿态跟踪误差较大和模型参数不确定条件下空间态势感知卫星对典型轨道目标指向跟踪控制问题。在常规积分滑模的基础上,利用最速跟踪滤波理论和超螺旋算法,设计一种新型非线性积分滑模控制器。通过指令滤波,使闭环系统运动初始时刻即在滑模面上,克服了常规滑模控制器到达阶段不具有鲁棒性的缺点。在滑模函数中加入非线性积分项,将稳态误差控制在较小范围内。通过仿真表明这种新型的滑模控制器可完成指向跟踪任务。 The problem of tracking control of a typical orbital target by a space situational awareness satellite under the condition of large initial tracking error and uncertain model parameters is studied. Based on the conventional integral sliding mode, a new type of nonlinear integral sliding mode controller is designed by using the steepest tracking filtering theory and supercoil algorithm. Through the instruction filtering, the closed-loop system can overcome the shortcomings that the conventional sliding-mode controller is not robust at the initial moment when the closed-loop system moves. The nonlinear integral term is added into the sliding mode function to control the steady-state error in a small range. Simulation shows that this new type of sliding mode controller can be used to point and track tasks.