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Automatic Navigation Of Intelligent Agricultural Research

Posted on:2016-10-02Degree:MasterType:Thesis
Country:ChinaCandidate:K ChenFull Text:PDF
GTID:2283330461997721Subject:Mechanical Manufacturing and Automation
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In agriculture, precision agriculture is the new trend and development trend of future development. Precision agriculture is the use of global navigation satellite systems and a variety of advanced information technology, sensors, intelligent, automated and less pollution of modern agriculture. Smart farm is the core of precision agriculture, it is the future direction and research priorities. Intelligent agricultural farm operator makes freed from the complex busy work, farm work increased mechanical efficiency, reduce human error that occurs when working. Previous non-smart agricultural machinery at work, relying on the operator’s driving experience, go straight and ensure the accuracy of the bond line is very difficult, yaw often happens, repeat sowing and sowing often leak occurs, these have increased costs and reduce agriculture utilization of land, and therefore it is necessary intelligence farm.First, the hardware and software design of agricultural automatic navigation control, the basic structure of the wagon is analyzed to provide a hardware platform for experiments. Mathematical model to analyze four-wheel electric vehicle research, provide a basis for the study of automatic navigation algorithm.Second, analysis of the relationship between the geometric transformation geodetic coordinate system definitions, as well as the horizontal coordinate system definition between the two. Study analyzed the navigation of principle and the principle of solving differential positioning. Design, including base stations, dual antenna location and orientation of the mobile station and radio systems, such as the location and orientation.Then, based on the principles of navigation, dual antenna heading and attitude measurement principle and path tracing principle, the path for the vehicle reaches the preset time, heading angle is not zero, it will continue to deviate from the default path, proposed an improved path tracing algorithm, and simulation conducted on MTALAB.Finally, the modified electric vehicles, conduct field experiments, set up on the controller will be traveling the route, automatic navigation experiments. Satellite receivers running real-time recording farm location, location is the record of agricultural real walking path. Transform the original conditions, several tests, the experimental results were analyzed, the results showed that the maximum error autopilot kept within 15 cm of. Experimental results demonstrate the effectiveness of the improved path tracing algorithm to verify the navigation control system is reliable.
Keywords/Search Tags:precision agriculture, intelligent agricultural machinery, automatic navigation, path tracking
PDF Full Text Request
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