基于BP神经网络的振动筒压力传感器的温度补偿.pdfVIP

第 20 卷 　第 10 期 传 感 技 术 学 报 Vol . 20 　N o . 10 2007 年 10 月 CHIN ES E J OU RNAL OF S ENSORS AND AC TUA TORS OC T . 2007 A Method to Improve Static State Output Characteristic of VibrationType Sensor Based on BP Neural Net work 1 1 1 2 Z H A N G Peng , C H E N M i ng , QI N B o , H E Pengj u 1. S chool of A utom at ion , N ort hw es tern Poly technical Uni vers ity , X i ’an 7 10072 , Chi na; 2 . J i ng X i Uni vers ity of S cience an d Technology , Gan Z hou 34 1000 , Chi na Abstract :A s vibratio nt yp e sen sor s are widely u sed in navigation in st rument s , ba sed on t he t heory of vibra tiont yp e sen sor . The inp ut/ outp ut of vibrationt yp e sen sor s i s deep ly st u died . Thro ugh analy si s of t he ex p eriment al dat a ,t he t emp erat ure charact eri stic curve i s o bt ained . A n d a new met ho d ba sed on B P neural net wor k ’s nonlinear f unction app roach to imp rove t he st atic st at e outp ut charact eri stic of vibrationt yp e sen sor i s p re sent ed . The simulation re sult demo n st rat e s t hat t he vibrationt yp e sen sor ’s st atic st at e outp ut charact eri stic ha s imp roved eff ectively . Be side s t hat ,simp le har dware ,f a st er sp eed ,high accuracy an d bet t er robu st ne ss are offered . Key words :B P neural net wor k ;vibrationt yp e sen sor ;air dat a sy st em (AD S) ; st atic st at e outp ut charact eri s tic ;rebu st ne ss EEACC :7230 ;7320 V 基于 B P 神经网络的振动筒压力传感器的温度补偿 1