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     Advance Journal of Food Science and Technology


Research of Two-axis Food Production High Speed Dashing Controller for Agricultural Development in China

1, 2Haoming Zhang and 3Yinghai Wang
1School of Computer Science and Technology, Soochow University, Suzhou, 215006
2Department of Electrical and Information Engineering, Tongling University, Tongling, 214000
3Department of Electrical and Information Engineering, SIPIVT, 215321, Suzhou, China
Advance Journal of Food Science and Technology  2016  10:801-806
http://dx.doi.org/10.19026/ajfst.10.2265  |  © The Author(s) 2016
Received: July ‎2, ‎2015  |  Accepted: August ‎2, ‎2015  |  Published: April 05, 2016

Abstract

Food production is an intelligent robot which is designed to find the shortest path from the start to the destination in an unknown maze. Food production based on MCS-51 cannot meets requirements of high speed dashing. In order to make the mouse memory the complex maze information automatically in dashing, different sensors were used to calibrate the position of food production based on STM32; In order to dash with the shortest time, curves of turning right and turning left were decomposed into four different parts, different velocities and accelerations were used to track these trajectories. Experiments results show that through these methods can ensure the correctness of food production high-speed dashing in complex maze.

Keywords:

Agricultural development, complex maze, dashing controller, food production,


References

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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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