New self-calibration schemes for accelerometers of platform
To guarantee success of precision navigation,it is necessary to carry out in-field calibration for the accelerometers of platform inertial navigation system(INS)before a mission is launched.Traditional continuous self-calibration methods are not fit for accelerometers fast calibration because the platform misalignments have to be estimated precisely and the nonlinear coupling terms will affect accuracy.Focusing on this field,the present paper proposes new fast self-calibration methods for the accelerometers of platform INS.Continuous calibration schemes are designed and optimized by the genetic algorithm(GA)to improve the observability of parameters.Simulations are conducted to analyze the performance and the sensitivity of the proposed methods.It is proved that the proposed methods can estimate the accelerometer parameter more precisely and more practical to deal with urgent situations than traditional methods.
accelerometers self-calibration platform INS the genetic algorithm
Li Chan Cao Yuan Ding Zhi-jian Cai Hong
College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073
国际会议
长沙
英文
1181-1185
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）