摘要
微机电系统(MEMS)自动驾驶仪是飞行器自动飞行控制的关键设备,解算出正确的机体信息是实现飞行器自动飞行控制的前提。该文详细分析了MEMS自动驾驶仪解算飞行器信息时存在的主要误差源,通过实验数据说明了对各种误差源进行补偿的必要性;针对不同的误差源,研究了相应的误差补偿方法,包括MEMS传感器本身误差的直接补偿和多MEMS传感器的数据融合补偿,并归纳为计算公式。对比实验结果表明:该方法是可行的,可提高飞行器机体信息解算的精度。
Micro electro-mechanical system （MEMS） autopilots, which play a key role in automatic aircraft flight control; must determine the right flight information about the aircraft where sensors have some errors. The main error sources in a MEMS autopilot, determined from actual test data, showed the need for error compensation. A direct compensation method was developed to correct for the MEMS sensor errors with data fusion used to combine multisensor data. Test results show that these methods significantly improve the precision of the aircraft information to give improved flight control
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2008年第5期804-807,共4页
Journal of Tsinghua University(Science and Technology)
