Adjustment and improvement of environmental parameters for fruit and vegetable fresh-keeping based on BPNN-PID control strategy

LÜ Enli; CAI Jinwei; ZENG Zhixiong; CAI Wei; XIE Boming; WANG Guanghai; GUO Jiaming

doi:10.7671/j.issn.1001-411X.202207047

Journal of South China Agricultural University > 2024 > 45(1): 137-147. > DOI: 10.7671/j.issn.1001-411X.202207047

LÜ Enli, CAI Jinwei, ZENG Zhixiong, et al. Adjustment and improvement of environmental parameters for fruit and vegetable fresh-keeping based on BPNN-PID control strategy[J]. Journal of South China Agricultural University, 2024, 45(1): 137-147. DOI: 10.7671/j.issn.1001-411X.202207047

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Adjustment and improvement of environmental parameters for fruit and vegetable fresh-keeping based on BPNN-PID control strategy

1.
College of Engineering, South China Agricultural University, Guangzhou 510642, China
2.
Maoming Branch, Guandong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China
3.
Guangdong Mechanical & Electronical Polytechnic, Guangzhou 510550, China

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Received Date: July 27, 2022
Available Online: November 22, 2023
Published Date: June 13, 2023

Graphical Abstract

Abstract

Abstract

Objective
The environmental parameters of fruit and vegetable preservation are characterized by time-varying, non-linear, strong hysteresis and large inertia, which leads to the problems of low control accuracy and weak robustness of traditional control methods. The goal was to develop a new control strategy to address these problems.
Method
We combined conventional proportional-integral-derivative (PID) and back-propagation neural network (BPNN) algorithms to develop a control strategy based on BPNN-PID. We studied the effect of using different control strategies on the regulation of freshness environment parameters through an independently built test platform for environmental regulation in fruit and vegetable preservation and an independently designed control system.
Result
The experimental results showed that the temperature overshoot of the environment control system based on BPNN-PID control strategy was 1.7 ℃, the stable time was 80 min, and the steady-state error was 0.2 ℃. The overshoot of environmental relative humidity was 2.8%, the stable time was 55 min, and it was stable in the range of 80%–90%. Compared with conventional PID control strategy, the ambient temperature overshoot of BPNN-PID control strategy was reduced by 2.1℃, the steady-state error was reduced by 0.3 ℃, and the steady-state time was shortened by 25 min. The environmental relative humidity overshoot was reduced by 2.2%, the stabilization time was shortened by 25 min, and the fluctuation ranges of environmental parameters were reduced.
Conclusion
The system shows good dynamic adjustment ability, strong robustness and obvious improvement in control performance, which enables accurate control of environmental parameters of fruit and vegetable preservation and meets the requirements of fruit and vegetable preservation and storage. The research results can provide references for the regulation of environmental parameters of fruit and vegetable preservation.
- PID,
- BPNN,
- Control system,
- Fruit and vegetable fresh-keeping,
- Environmental parameter,
- Overshoot

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References

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