摘要
为解决发酵仓微生物降解过程中的非线性、强耦合、大滞后问题,提出了一种基于模糊灰狼PID算法的发酵仓解耦控制方法。首先,辨识得到发酵仓控制系统模型,通过动态解耦补偿方式消除在控制过程中产生的温、湿度耦合效应。然后结合PID和模糊控制的优点,建立模糊PID控制系统模型;最后,利用灰狼优化算法的迭代寻优能力,对模糊PID初始化参数进行优化。仿真结果表明,与传统控制方法相比,所提出的控制策略的温度回路调节时间由原来的1 623 s降低到596 s,相对湿度调节时间减少了910 s,并具有较理想的解耦效果,可以有效实现降解环境的精确控制。
To solve the problems of nonlinearity,strong coupling and large lag in the microbial degradation process of fermentation tank,a decoupling control method of fermentation tank based on fuzzy gray wolf PID algorithm was proposed.First,the control system model of the fermentation bin is identified,and the coupling effect of temperature and humidity generated in the control process is eliminated through dynamic decoupling compensation.Then,combining the advantages of PID and fuzzy control,the fuzzy PID control system model is established.Finally,the fuzzy PID initialization parameters are optimized by using the iterative optimization ability of the gray wolf optimization algorithm.The simulation results show that,compared with the traditional control method,the proposed control strategy reduces the temperature loop regulation time from 1 623 s to 596 s,the relative humidity regulation time is reduced by 910 s,and has a better decoupling effect,which can effectively realize the accurate control of degradation environment.
作者
张坤鳌
常云磊
Zhang Kun′ao;Chang Yunlei(School of Computer Science and Technology,Xi′an University of Science and Technology,Xi'an 710600,China)
出处
《电子测量技术》
北大核心
2023年第7期19-23,共5页
Electronic Measurement Technology
基金
陕西省自然科学基础研究项目(2019JLM-11)
陕西省自然科学基金(2017JM6105)项目资助。
关键词
微生物降解系统
模糊PID
动态解耦补偿
灰狼优化算法
microbial degradation system
fuzzy PID
dynamic decoupling compensation
grey wolf optimization algorithm
