Drying Temperature Precision Control System Based on Improved Neural Network PID Controller and Variable-Temperature Drying Experiment of Cantaloupe Slices.

Taoqing Yang, Xia Zheng, Hongwei Xiao, Chunhui Shan, Xuedong Yao, Yican Li, Jikai Zhang

Abstract read

In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 citing paper in PubMed.

Moisture content online detection system based on multi-sensor fusion and convolutional neural network.Frontiers in plant science · 2024
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5 · Who and what money

Authors and funding

7 authors.

Taoqing YangCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.ORCID 0009-0004-3573-380X

Xia ZhengCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.

Hongwei XiaoCollege of Engineering, China Agricultural University, 17 Qinghua Donglu, Beijing 100083, China.ORCID 0000-0001-6035-4677

Chunhui ShanCollege of Food, Shihezi University, Shihezi 832003, China.

Xuedong YaoCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.

Yican LiCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.

Jikai ZhangCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.

Funding

National Natural Science Foundation of China 31960488Shihezi University Achievement Transformation and Technology Promotion Project CGZH201808

6 · The paper itself

Abstract

A drying temperature precision control system was studied to provide technical support for developing and further proving the superiority of the variable-temperature drying process. In this study, an improved neural network (INN) proportional-integral-derivative (PID) controller (INN-PID) was designed. The dynamic performance of the PID, neural network PID (NN-PID) and INN-PID controllers was simulated with unit step signals as an input in MATLAB software. A drying temperature precision control system was set up in an air impingement dryer, and the drying temperature control experiment was carried out to verify the performance of the three controllers. Linear variable-temperature (LVT) and constant-temperature drying experiments of cantaloupe slices were carried out based on the system. Moreover, the experimental results were evaluated comprehensively with the brightness (

Indexed as

cantaloupe slicescontrol systemdrying temperatureneural networkPID controllervariable-temperature

Identifiers

PMID37375883

DOI10.3390/plants12122257

PMCPMC10305149

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