锅炉汽包水位智能控制算法研究与改进  

Research and Improvement of Intelligent Control Algorithm for Boiler Drum Water Level

作　　者：燕尧 赵吉鹏 金志刚 YAN Yao;ZHAO Jipeng;Jin Zhigang(Gansu Province Special Equipment Inspection and Testing Institute,Lanzhou 730050,China)

机构地区：[1]甘肃省特种设备检验检测研究院,甘肃兰州730050

出　　处：《工业加热》2024年第6期14-18,共5页Industrial Heating

基　　金：甘肃省重点研发计划(21YF5GA046)。

摘　　要：锅炉作为工业生产中重要的动力来源,在国民经济发展中扮演着关键角色。本研究旨在解决锅炉汽包水位控制中的问题,通过分析动态特性,提出了一种基于改进遗传算法和PID控制的智能控制方法。通过优化PID参数,实现对汽包水位的智能控制。首先,分析了锅炉汽包水位控制系统的特性。然后,采用改进的遗传算法对PID控制器进行参数优化,以适应动态变化。最后,通过大量的仿真评估和对比分析,验证了该方法的有效性。实验结果表明,与传统PID控制相比,改进的遗传算法优化的智能控制器在提高控制精度和稳定性方面表现出明显优势。进一步的研究可以探索其他智能优化算法与PID控制的结合,以进一步提升锅炉汽包水位控制的性能和稳定性。As an important source of power in industrial production,boilers play a crucial role in the development of the national economy.This study aims to solve the problems in boiler drum water level control.By analyzing the dynamic characteristics,an intelligent control method based on improved genetic algorithm and PID control is proposed.By optimizing PID parameters,intelligent control of steam drum water level is achieved.Firstly,the characteristics of the boiler drum water level control system were analyzed.Then,an improved genetic algorithm is used to optimize the parameters of the PID controller to adapt to dynamic changes.Finally,the effectiveness of this method was verified through extensive simulation evaluation and comparative analysis.The experimental results show that compared with traditional PID control,the improved genetic algorithm optimized intelligent controller exhibits significant advantages in improving control accuracy and stability.Further research can explore the combination of other intelligent optimization algorithms and PID control to further improve the performance and stability of boiler drum water level control.

关 键 词：汽包水位 改进遗传算法 智能控制 

分 类 号：TK39[动力工程及工程热物理—热能工程]