计算机工程 ›› 2012, Vol. 38 ›› Issue (9): 234-236.doi: 10.3969/j.issn.1000-3428.2012.09.072

• 工程应用技术与实现 • 上一篇    下一篇

基于混合GA的啤酒酵母扩培系统PID控制

龙 文1,2,秦浩宇2   

  1. (1. 贵州财经学院贵州省经济系统仿真重点实验室,贵阳 550004;2. 中南大学信息科学与工程学院,长沙 410083)
  • 收稿日期:2011-09-06 出版日期:2012-05-05 发布日期:2012-05-05
  • 作者简介:龙 文(1977-),男,讲师、博士研究生,主研方向:进化计算,复杂系统优化与控制;秦浩宇,硕士研究生
  • 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

PID Control of Beer Yeast Spread Cultivation System Based on Hybrid Genetic Algorithm

LONG Wen   1,2, QIN Hao-yu   2   

  1. (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)
  • Received:2011-09-06 Online:2012-05-05 Published:2012-05-05

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

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.

Key words: beer yeast spread cultivation system, hybrid Genetic Algorithm(GA), Proportional-integral-differential(PID) control, temperature control

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