华南农业大学学报2024，Vol.45Issue(1)：137-147,11.DOI:10.7671/j.issn.1001-411X.202207047
基于BPNN-PID控制策略的果蔬保鲜环境参数调控优化
Adjustment and improvement of environmental parameters for fruit and vegetable fresh-keeping based on BPNN-PID control strategy
摘要
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.关键词
PID/BPNN/控制系统/果蔬保鲜/环境参数/超调量Key words
PID/BPNN/Control system/Fruit and vegetable fresh-keeping/Environmental parameter/Overshoot分类
农业科技引用本文复制引用
吕恩利,蔡晋炜,曾志雄,蔡威,谢伯铭,王广海,郭嘉明..基于BPNN-PID控制策略的果蔬保鲜环境参数调控优化[J].华南农业大学学报,2024,45(1):137-147,11.基金项目
英德市提升市县茶叶科技能力促进产业发展项目(403-2018-XMZC-0002-90) （403-2018-XMZC-0002-90）
广东省农业科技创新及推广项目(2022KJ101) （2022KJ101）
广东省农产品保鲜物流共性关键技术研发创新团队(2022KJ145) （2022KJ145）
广东省农业科研项目和农业技术推广项目(440000210000000086860) （440000210000000086860）
茂名市实验室自主科研项目(2021ZZ003) （2021ZZ003）
