人工免疫控制在热工过程的应用与研究  

Application and research of artificial immune control in thermal process

作　　者：赵静[1] 梁瑞娜[1] ZHAO Jing;LIANG Ruina(Northwestern Polytechnical University Ming De College, Xi'an 710124, China)

机构地区：[1]西北工业大学明德学院,西安710124

出　　处：《工业仪表与自动化装置》2020年第2期85-87,92,共4页Industrial Instrumentation & Automation

基　　金：陕西省教育厅2019年度专项科学研究计划(19JK0870)。

摘　　要：热工过程有着明显不同于其他工业过程的特征,由于其内部过程的复杂性,热工过程往往表现出非线性、时延性、不确定性、变量间的关联性以及信息的不完整性,对其建立精确的数学模型十分困难。因此,常规控制难以获得理想的控制效果。现以热工过程中窑炉温度为研究对象,采用智能控制技术,对温度提出一种人工免疫遗传算法,并设计人工免疫遗传算法优化的PID参数,对其控制器进行参数整定实现对窑炉的温度控制,通过METLAB仿真,结果表明人工免疫遗传算法在热工过程控制具有通用性和实用性。Thermal process has obvious characteristics different from other industrial processes.Because of the complexity of its internal process,thermal process often shows non-linearity,delay,uncertainty,correlation between variables and incompleteness of information.It is very difficult to establish an accurate mathematical model for thermal process.Therefore,conventional control is difficult to achieve the desired control effect.Taking kiln temperature in thermal process as the research object,an artificial immune genetic algorithm(AIGA)is proposed for temperature control by using intelligent control technology,and the PID parameters optimized by AIGA are designed.The parameters of the controller are tuned to realize the temperature control of kiln.The simulation results by METLAB show that AIGA can control the temperature of kiln.The algorithm is universal and practical in thermal process control.

关 键 词：热工过程 智能控制技术 人工免疫遗传算法 PID参数 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]