Abstract: A theoretical analysis of on-line autonomous intelligent adaptive controller based on emotional learning model in mammalians brain for the rate damping control of small satellite during initial separation from launch vehicle is presented.The algorithm of the Brain Emotional Learning Based Intelligent Controller（BELBIC） is provided with some sensory inputs and emotional cues.Subsequently it seeks the proper control signal to be executed by actuators autonomously.BELBIC based on PID control and PWPF modulation is adopted for the satellite rate damping plant.Performance comparison between BELBIC and PID controller shows that the algorithm is very robust and fast in adaptation with inertia change in the plant，due to its on-line learning ability.

Key words: satellite rate damping, intelligent control, emotion based learning model

摘要： 针对卫星入轨后的初始速率阻尼问题，提出一种基于人脑中情绪学习模型的在线自主自适应控制器。该控制器模拟人脑对感官输入和情绪刺激的处理过程，自主选择适当的控制信号，完成控制任务。设计了基于PID控制和PWPF调制的人脑情绪学习模型智能控制器用以完成卫星初始速率阻尼控制。仿真结果表明，该智能控制器对于卫星转动惯量的不确定性具有较强的鲁棒性，在线学习能力使得智能控制器的性能明显优于PID控制器。

关键词: 卫星速率阻尼, 智能控制, 情绪学习模型