English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, a new measurement system based on integration method ispresented,which can provide all-weather dependability and higher precision forthe measurement of FAST's feed support system. The measurement system consistsof three types of measuring equipments, and a processing software with the coredata fusion algorithm. The Strapdown Inertial Navigation System(SINS) canautonomously measure the position, speed and attitude of the carrier. Its ownshortcoming is the measurement data diverges rapidly over time. SINS mustcombine the Global Positioning System(GPS) and the Total Station(TS) to obtainhigh-precision measurement data. Kalman filtering algorithm is adopted for theintegration measurement system, which is an optimal algorithm to estimate themeasurement errors. To evaluate the performance, series of tests are carriedout. For the feed cabin, the maximum RMS of the position is 14.56mm, themaximum RMS of the attitude is 0.095{\deg}, these value are less than 15mm and0.1{\deg} as the precision for measuring the feed cabin. For the Stewartmanipulator, the maximum RMS of the position is 2.99mm, the maximum RMS of theat titude is 0.093{\deg}, these value are less than 3mm and 0.1{\deg} as theprecision for measuring the Stewart manipulator. As a result, the newmeasurement meets the requirement of measurement precision for FAST's feedsupport system.

Position and attitude determination by integrated GPS/SINS/TS for feed support system of FAST