罗非鱼真空冷冻干燥温度的智能预测控制  

Intelligent Predicting Control of Vacuum Freeze-Drying Temperature of Tilapia

作　　者：李晓斌[1,2] 王海波[2] 许哲[3] 张海刚[3] 

机构地区：[1]上海应用技术学院电气与电子工程学院,上海200235 [2]兰州理工大学电气与信息工程学院,甘肃兰州730050 [3]上海海洋大学工程学院,上海201306

出　　处：《控制工程》2011年第5期719-722,770,共5页Control Engineering of China

基　　金：国家科技支撑计划(2006BAD30B07);上海市科委科技计划(08210511900)

摘　　要：在罗非鱼的真空冷冻干燥过程中,升华温度的精确控制是一个大时滞、非线性的控制问题,实际测试表明,现有的PID控制很难实现对升华温度的动态跟踪精确控制,影响冻干罗非鱼的物理、化学和生物性状,尤其是罗非鱼制品的活性等。提出基于自适应粒子群优化预测函数控制(APSO-PFC)的真空冻干温度控制方法,通过仿真和实验比较,表明APSO-PFC控制方法优于目前实际生产中采用的PID控制方法,实现了罗非鱼真空冷冻干燥温度的动态跟踪精确控制,从而提高了冻干罗非鱼片的综合品质。In process of tilapia vacuum freeze-drying, the accurate control of freeze-drying temperature is a nonlinear dynamic trackingcontrol problem. In practice, the freeze-drying temperature accurate dynamic tracking control is very difficult by PID controller, it influences physical chemical and biological performance and shape, particularly activity of biological product. These problems are solved by predictive functional control （PFC） based on adaptive particle swarm optimization algorithm （ APSO ）. These results of simulation and experiment show that the APSO-PFC has higher precision than the method of PID control. It is proved that this method is effective in the tilapia freeze-drying temperature accurate dynamic tracking control and at the same time the tilapia fillet quality has been greatly improved.

关 键 词：罗非鱼 真空冷冻干燥 温度 模型辨识 智能预测控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]