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     Advance Journal of Food Science and Technology


The Model Relief Food Free Control Technology Based on the Cascade Observer

1, 2Hongcheng Zhou and 2Daobo Wang
1Institute of Information, JinLing Institute of Technology, Nanjing 211169
2College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Advance Journal of Food Science and Technology  2017  3:104-109
http://dx.doi.org/10.19026/ajfst.13.4145  |  © The Author(s) 2017
Received: July ‎26, ‎2015  |  Accepted: August ‎20, ‎2015  |  Published: March 25, 2017

Abstract

In this study, the methods are applied to the control of the relief food helicopter and achieve good control performance and effect. The design of the fuzzy controller does not depend on the model of the controlled object. But it depends very closely on the experiences and knowledge of control experts or operators. But it is difficult to design a high-level fuzzy controller. Moreover the fuzzy controller is not easy to control learning and adjustment of the parameters, which makes the structure of the self-adaptive fuzzy controller difficult. Self-adaptive learning technology can effectively compensate for the decline of control performance caused by the imperfection of the rule base. The self-adaptive fuzzy control has two kinds of forms.

Keywords:

Cascade observer, fuzzy controller, relief food helicopter,


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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