Combined positioning method of agricultural machines navigation

Abstract

This invention discloses a sort of combination orientation method of farm-machinery guidance. This method adopts the pseudo-distance difference GPS sensor to progress measure and receives abecedarian orientation position figures of the farm-machinery. Then it uses the electron box-needle and the micromachining peg-top sensor to progress measure to course angle of the farm-machinery, it progress weighting amalgamation by the self-adapting, and it obtain the best course angle figures. It adopt the self-adapting Kallman filter to progress amalgamation again to the polygenetic information of the abecedarian orientation position figures and the course angle figures, accordingly it can obtain accurate estimate of the farm-machinery orientation and the course angle information. This invention provides more accurate and accurate reckon data of the course angle; the orientation can be controlled in the GARMIN extent, and can form the continuous and steady navigation data of farm-machinery.

Description

technical field [0001] The invention relates to navigation and positioning technology, in particular to a combined positioning method for agricultural machinery navigation. Background technique [0002] Precision agriculture includes positioning prescription farming and automatic collection of agricultural information. Positioning prescription farming requires that agricultural machinery can walk in the field according to a pre-planned path, accurately reach the destination and complete the established tasks. Precise navigation is one of the key technologies to realize autonomous walking of agricultural machinery, and its positioning accuracy directly affects the quality of automatic path tracking of agricultural machinery. Therefore, improving the accuracy of navigation and positioning is the primary issue to improve the quality of agricultural machinery path tracking. [0003] The main information of agricultural machinery navigation and positioning includes: position inf...

AI Technical Summary

Problems solved by technology

There are also some research results that use low-cost and low-precision GPS to integrate high-precision inertial sensors to achieve precise positioning of agricultural machinery through the K

Images