首页|ACDBO优化模糊PID的石墨化炉温度控制研究

ACDBO优化模糊PID的石墨化炉温度控制研究

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石墨化炉温度控制系统具有纯滞后、大惯性、非线性等特点,其数学模型难以精确建立,采用传统PID控制方法难以达到控制要求.针对此问题,将自适应混沌蜣螂优化算法(ACDBO)的模糊PID控制应用于石墨化炉温度控制.针对蜣螂算法易陷入局部最优的问题,提出利用混沌映射、自适应惯性权重以及动态选择扰动算法的策略,以提高算法的性能,对模糊PID控制器的比例因子和量化因子进行优化,提升其控制效果.结果表明,基于ACDBO优化模糊PID的石墨化炉温度控制中,具有升温速度快、控制精度高、超调量小、抗干扰能力强等优点,极大地提升了石墨化炉温度控制效果.
Research on temperature control of graphitization furnace with ACDBO optimization fuzzy PID
The temperature control system of graphitization furnace has the characteristics of pure lag,large inertia and nonlinearity.Its mathematical model is difficult to establish accurately,and it is difficult to meet the control requirements by using the traditional PID control method.Aiming at this problem,the fuzzy PID control of adaptive chaotic dung beetle optimization algorithm(ACDBO)is ap-plied to the temperature control of graphitization furnace.Aiming at the problem that the dung beetle algorithm is easy to fall into local optimum,a strategy of using chaotic mapping,adaptive inertia weight and dynamic selection disturbance algorithm is proposed to im-prove the performance of the algorithm.The scale factor and quantization factor of the fuzzy PID controller are optimized to improve its control effect.The results show that the temperature control of graphitization furnace based on fuzzy PID optimized by adaptive chaotic dung beetle algorithm has the advantages of fast heating speed,high control precision,no overshoot and strong anti-interference ability,which greatly improves the temperature control effect of graphitization furnace.

Graphitizing furnaceadaptive chaotic dung beetle algorithmfuzzy controltemperature control

夏湘滨、李世军、黄超、邝孝威、阳兴华、黄炀、张喜明、吴轩

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湖南华夏特变股份有限公司,湖南 湘潭 411101

湖南工程学院新能源汽车创新研究院,湖南 湘潭 411101

石墨化炉 自适应混沌蜣螂算法 模糊控制 温度控制

2024

炭素技术
中钢集团吉林炭素股份有限公司

炭素技术

CSTPCD北大核心
影响因子:0.296
ISSN:1001-3741
年,卷(期):2024.43(6)