Optimal Control of Fed-batch Process with Improved Particle Swarm Optimization

作     者：Kezhong Lu~1,Haibo Li~2 1.Department of Computer Science,Chizhou College,Chizhou,247100,China 2.Department of Electronic Engineering,Wuxi Vocational Institute of Commercial Technology,Wuxi,214153,China 

会议名称：《2010 Chinese Control and Decision Conference》

会议日期：2010年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

关 键 词：Improved Particle Swarm Optimization Fed-batch Fermentation Optimal Control Alcohol 

摘      要：正To overcome the problem of premature convergence on particle swarm optimization（PSO）,an improved particle swarm optimization（IPSO） was proposed,which was called keeping particles active *** was guaranteed to keep the diversity of the particle *** particles lose activity,a special mutation or perturbation was used to activate particles and to make particles explore the search space more *** IPSO was used to determine optimal substrate feeding rate for fed-batch alcohol fermentation *** experimental results showed that the IPSO can find better feeding rate quickly than SPSO,and increase alcohol yield more 14 percent than GA.