Research Article | OPEN ACCESS
Fuzzy Control for Food Agricultural Robotics of a Degree
Lepeng Song
Department of Agriculture, Agricultural Research Service 2413 E. Hwy 83 Weslaco, Texas 78596, USA
Advance Journal of Food Science and Technology 2014 2:173-175
Received: August 27, 2013 | Accepted: September 17, 2013 | Published: February 10, 2014
Abstract
In this study, we have a research of the fuzzy control for food agricultural robotics of a degree. Weeding robots can replace humans weeding activities, since the control system with nonlinear, robustness and a series of complex time-varying characteristics of the traditional PID control of the food agricultural robot end of the operation control effect cannot achieve the desired results, therefore, the design for the traditional use of classical PID control algorithm to control the food agricultural robot end of the operation of a series of drawbacks, combining cutting-edge control theory, fuzzy rule-based adaptive PID control strategy to control the entire system, so as to achieve the desired control effect. Experimental results show that the fuzzy adaptive PID control method for robot end postural control has better adaptability and track-ability.
Keywords:
Agent-oriented, food agricultural robotics, fuzzy adaptive PID, fuzzy control, PID,
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.
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