Abstract
In the position and azimuth determination system (PADS), the bias and scale factor of a quartz flexible accelerometer exhibit a non-ignorable drift after a quick turn-on and before the thermal balance is reached inside the system at different temperatures. To solve this problem, this paper presents a system compensation scheme. The multi-point temperature sensing experiment was repeated based on the realization of the hardware platform, and a wavelet neural network was used for the temperature compensation. Studies indicated that the selection of the temperature sensing points is one of the keys to achieve an effective compensation. Results show that the compensation scheme and algorithm increase the efficiency and reduce the preparation time; meanwhile the attitude precision can be improved to 8 arcsec, which meets the specification of the system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
