【摘要】 针对脉冲等离子体推进器作为执行机构的微纳卫星姿态控制系统(attitude control system,ACS)仿真的需要,采用脉冲信号控制双旋翼实验平台对微纳卫星姿态控制系统进行半实物仿真。使用Elman神经网络PID的控制策略,在线调整PID参数,适应动态系统。通过半实物仿真平台的对比试验,验证了Elman神经网络PID控制系统自适应能力强、超调量小等优点,同时也验证了双旋翼实验平台对于脉冲等离子推进器半实物仿真的有效性。更多还原

【Abstract】 Aiming at the need for simulation of attitude control system(ACS) of micro-nano satellite with pulsed plasma thruster as actuator, a semi-physical simulation of attitude control system of micro-nano satellite was carried out on a dual-rotor experimental platform controlled by pulsed signal. The control strategy of Elman neural network PID is used to adjust the parameters of PID on-line and adapt to the dynamic system. Through the comparative experiment of semi-physical simulation platform, the advantages of Elman neural network PID control system, such as strong adaptive ability and small overshoot, are verified. At the same time, the validity of dual-rotor experimental platform for semi-physical simulation of pulsed plasma thruster is verified.更多还原