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Aircraft attitude estimation of MEMS sensor based on modified particle filter 被引量:3
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作者 MA Wen-gang WANG Xiao-peng +1 位作者 ZHANG Yong-fang CHENG Dong-liang 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第2期180-187,共8页
The non-linearity problem of aircraft system could not be overcome by using the MEMS sensor only.In order to improve the accuracy of aerial vehicle attitude,an aircraft attitude estimation of the MEMS sensor based on ... The non-linearity problem of aircraft system could not be overcome by using the MEMS sensor only.In order to improve the accuracy of aerial vehicle attitude,an aircraft attitude estimation of the MEMS sensor based on modified particle filter is proposed.The aircraft attitude is optimized by the conjugate gradient method,and the drift error of gyroscope is reduced.Moreover,the particle weight is updated by the observed value to obtain an optimized state estimate.Finally,the conjugate gradient method and the modified particle filter are weightily combined to determine the optimal weighting factor.The attitude estimation is carried out with STM32 and MEMS sensor as the core to design system.The experimental results show that the static and dynamic attitude estimation performances of the aircraft are improved.The performances are well,the attitude data is relatively stable,and the tracking characteristics are better.Moreover,it has better robustness and stability. 展开更多
关键词 aircraft attitude estimation modified particle filter MEMS sensor conjugate gradient method weighted fusion
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