基于遗传算法寻优的Smith预估模糊免疫PID啤酒发酵温度控制  

Genetic-Algorithm-Based optimization Smith Predictive Fuzzy Immune PID Temperature Control for Beer Fermentation

作　　者：徐玲[1,2] 徐保国[1] 

机构地区：[1]江南大学物联网工程学院,江苏无锡214122 [2]无锡商业职业技术学院,江苏无锡214153

出　　处：《计算机测量与控制》2013年第2期380-381,385,共3页Computer Measurement &Control

摘　　要：针对啤酒发酵温度控制为纯滞后温度控制对象,采用具有Smith预估功能的免疫模糊PID控制器进行控制,该控制器将Smith预估和免疫PID控制相结合,利用生物免疫算法进行PID参数的在线自适应调整,由模糊控制器逼近免疫PID的非线性函数,并用遗传算法优化控制器的控制参数;系统仿真结果证实了该控制方法将调节时间加快了650s,超调量由原来的40%下降至0。Because the beer fermentation temperature control is a time--delay temperature control object, Smith predictive function of fuzzy immune PID controller is used, the controller combines Smith prediction and immune PID controller. Using biological immune PID algorithm can realize parameters online adaptive. Using fuzzy controller approximates nonlinear function of immune PID, and the controller parameter is optimized by genetic algorithm. System simulation results prove that the control method ruduces adjustment time to 650 s and the system overshoot to 0.

关 键 词：Smith预估 免疫模糊PID 遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]