从智能控制理论出发,针对拦截机动目标的燃料最优问题,提出将状态相关黎卡提方程法(SDRE)和滑模控制相结合的末制导律设计方法,即利用前者将非线性模型转化为基于状态系数的线性结构后设计次优制导律,利用后者实现对机动目标引起的不确定干扰项的补偿。仿真结果表明,与自适应滑模末制导律相比,该方法具有制导精度更高、更加节省燃料的优势。 Starting from the theory of intelligent control, aiming at the fuel optimization problem of intercepting maneuvering targets, a design method of the end-guidance law combining state-related Riccati equation method (SDRE) and sliding mode control is proposed, that is, the former is used to convert the nonlinear model into Based on the state coefficient, a linear substructure is designed to design the suboptimal guidance law. The latter is used to compensate for the uncertain disturbance caused by the maneuvering target. The simulation results show that compared with the adaptive sliding mode guidance law, this method has the advantages of higher guidance accuracy and more fuel saving.