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基于混合GA的啤酒酵母扩培系统PID控制
引用本文:龙文,秦浩宇.基于混合GA的啤酒酵母扩培系统PID控制[J].计算机工程,2012,38(9):234-236.
作者姓名:龙文  秦浩宇
作者单位:1. 贵州财经学院贵州省经济系统仿真重点实验室,贵阳550004;中南大学信息科学与工程学院,长沙410083
2. 中南大学信息科学与工程学院,长沙,410083
基金项目:国家自然科学基金资助项目(61074069);贵州财经学院引进人才科研启动项目
摘    要:针对啤酒酵母扩培过程中温度较难控制的问题,提出一种基于混合遗传算法(GA)的PID控制方法。在GA中嵌入梯度下降算子,利用梯度下降法对每代中若干个精英个体以一定概率进行搜索,从而提高算法的局部搜索能力。实验结果表明,该方法的响应速度较快,且无稳态误差。

关 键 词:啤酒酵母扩培系统  混合遗传算法  PID控制  温度控制
收稿时间:2011-09-06

PID Control of Beer Yeast Spread Cultivation System Based on Hybrid Genetic Algorithm
LONG Wen , QIN Hao-yu.PID Control of Beer Yeast Spread Cultivation System Based on Hybrid Genetic Algorithm[J].Computer Engineering,2012,38(9):234-236.
Authors:LONG Wen  QIN Hao-yu
Affiliation:1.Guizhou Key Laboratory of Economics System Simulation,Guizhou College of Finance and Economics,Guiyang 550004,China;2.School of Information Science and Engineering,Central South University,Changsha 410083,China)
Abstract:Under the conventional control,the temperature is not easy to control in the process of beer yeast spread cultivation.Aiming at this problem,a Proportional-integral-differential(PID) control method based on hybrid Genetic Algorithm(GA) is proposed.A gradient descend operator is introduced into the GA.Gradient descend method is carried on search by certain probability for certain elitists of every generation to strengthen the ability of local search.Experimental results show that the method can ensures fast response performance of system and it has not steady-state error.
Keywords:beer yeast spread cultivation system  hybrid Genetic Algorithm(GA)  Proportional-integral-differential(PID) control  temperature control
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