Research Article | OPEN ACCESS
A New Food Transportation Tracking Method Based on Optimal Loop Gain
1, 2Yangbin Liu, 1Ying Xu, 1Zhili He, 1, 2Maoshu Zeng and 1Hong Yuan
1Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China
2University of Chinese Academy of Sciences, Beijing 100049, China
Advance Journal of Food Science and Technology 2016 9:652-657
Received: May 5, 2015 | Accepted: June 22, 2015 | Published: March 25, 2016
Abstract
In the traditional food transportation tracking loop, the loop gain is generally constant. In order to release the limitation, the adjustment on the optimal loop bandwidth can be applied to achieve high precision food transportation tracking. Aiming at shortening the lock-time of traditional algorithm, this study designed an optimal loop gain algorithm for food transportation tracking loop. By analyzing the loop transient response, the optimal loop gain is designed based on the least lock-time criteria. Since it is unable directly to obtain the numerical solution of the loop gain, a modeling method is developed based on piecewise cubic Hermite interpolation polynomial, in order to achieve the optimal loop gain design in loop under acceptable frequency error. Simulation results show that the proposed algorithm can speed up the loop lock-time. Compared with the constant-gain loop, when the frequency error is 30 Hz, the lock-time of the proposed optimal gain loop is improved at least 46.7%.
Keywords:
Food transportation, hermite interpolation, the optimal loop,
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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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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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