这篇报告讨论战术导弹适应式自动驾驶仪的设计。所论的自动驾驶仪直接地识别未知的时变参数,并相应地按照极点配置技术调整自动驾驶仪返馈增益。采用的识别方法是广义的卡尔曼滤波器。讨论了传感器测量噪声电平、模型的不确定性、自动驾驶仪输入信号特性和测量值采样时间间隔长度等的影响。用计算机模拟验证了识别准确度。 This report discusses the design of tactical missile adaptive autopilots. The autopilot in question directly recognizes unknown time-varying parameters and accordingly adjusts the autopilot return gain in accordance with the pole placement technique. The identification method used is a generalized Kalman filter. The effects of sensor measurement noise level, model uncertainty, autopilot input signal characteristics, and measured sample interval length are discussed. Computer simulation verified the recognition accuracy.