| 基于粒子群优化算法的微生物发酵过程控制 |
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| 引用本文： | 姚禹,陈立岩,柳虹亮,高智.基于粒子群优化算法的微生物发酵过程控制[J].科技信息,2012(33):I0172-I0172,I0206. |
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| 作者姓名： | 姚禹 陈立岩 柳虹亮 高智 |
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| 作者单位： | 长春工业大学软件职业技术学院,吉林长春130012 |
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| 摘 要： | 微生物发酵是一类典型的生化反应过程，在各个工业领域的应用都很广泛。针对微生物发酵中的溶解氧浓度、pH和发酵温度彳4用粒子群优化算法的基本原理和算法流程，阐述了基于粒子群优化算法的微生物发酵控制．而后用硬件电路设计实现了微生物发酵过程的控制。实践表明，该控制方法对微生物发酵过程控制性能优良，提高了发酵精度，控制效果显著。
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| 关 键 词： | 微生物发酵 粒子群优化算法 微机控制 |
Microbial Fermentation Process Control Based on Particle Swarm Optimization Algorithm |
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| YAO Yu,CHEN Li-yan,LIU Hong-liang,GAO Zhi.Microbial Fermentation Process Control Based on Particle Swarm Optimization Algorithm[J].Science,2012(33):I0172-I0172,I0206. |
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| Authors: | YAO Yu CHEN Li-yan LIU Hong-liang GAO Zhi |
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| Institution: | (School of Soft Technology, Changchun University of Technology, Changchun Jilin,130012, China) |
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| Abstract: | Microbial fermentation is a typical class of biochemical reaction process, pervasive applications in various industrial fields. It use particle swarm optimization of the basic principles and algorithms to control the fermentation process for dissolved oxygen concentration, pH and fermentation temperature in microbial fermentation and then, design the hardware circuit. The practice shows that the method has good control performance, improved fermentation precision, a significant effect for the fermentation process. |
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| Keywords: | Microbial fermentation Particle swarm optimization Microprocessor control |
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