基于BP神经网络PID控制对渔船冷库温度控制的研究  

Research on Temperature Control of Fishing Vessel Cold Storage Based on BP Neural Network PID Control

作　　者：王佳豪 张存喜 WANG Jiahao;ZHANG Cunxi(Zhejiang Ocean University,Zhoushan 316022,China)

机构地区：[1]浙江海洋大学,浙江舟山316022

出　　处：《机械工程师》2023年第11期25-28,共4页Mechanical Engineer

摘　　要：针对渔船冷库中传统的温度控制方式波动性大、不稳定、反应慢的问题,设计了BP神经网络PID温度控制器,在传统PID控制器中引入智能BP神经网络算法并得出最佳参数比例,最终仿真结果证明该新型温度控制器具有较好的稳定性和鲁棒性,对渔船制冷发展具有一定的作用。Aiming at the problems of large fluctuation,instability and slow response of traditional temperature control methods in fishing vessel cold storage,this paper designs BP neural network PID temperature controller,and introduces intelligent BP neural network algorithm into the traditional PID controller and obtains the optimal parameter ratio.The final simulation results show that the new temperature controller has good stability and robustness,which has a certain effect on the development of fishing vessel refrigeration.

关 键 词：BP神经网络 PID控制 渔船冷库 温度控制 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]