基于群智能优化算法与MATLAB仿真的高温炉模糊PID温度控制系统设计  

Design of Fuzzy PID Temperature Control System for High Temperature Furnace Based on Group Intelligence Optimization Algorithm and MATLAB Simulation

作　　者：蔡晓燕 CAI Xiaoyan(Wuhan City College,Wuhan 430070,China)

机构地区：[1]武汉城市学院,武汉430070

出　　处：《自动化与仪器仪表》2024年第4期216-219,224,共5页Automation & Instrumentation

基　　金：《液压缸试验台控制系统性能改进的研究与设计》(2017CYYBKY004)。

摘　　要：针对高炉燃烧器温度控制问题,提出一种PSO-模糊PID的温度控制方法。首先,对模糊PID控制方法进行了研究与探讨;然后,在模糊PID控制方法的基础上,引入粒子群优化算法对PID参数进行优化;最后通过对比实验验证提出方法的有效性与可行性。测试结果表明:粒子群优化算法能够对模糊PID控制系统进行优化,且经过粒子群优化算法优化后的模糊PID控制系统进入稳态所需的时间大大减少,超调幅度达到最低,且在整个控制过程中没有出现震荡情况。可知设计温度控制方法具有可行性和有效性,且响应速度快、稳定性高,能够实现提高温度控制系统自适应能力的目的,继而实现对高炉燃烧器温度进行调节与控制。A fuzzy PID temperature control method based on swarm intelligence optimization algorithm and MATLAB simulation is proposed for temperature control of blast furnace burners.The aim is to improve the adaptive ability of blast furnace burner temperature control and achieve the purpose of adjusting and controlling the temperature of blast furnace burners.Firstly,the fuzzy PID control method was studied and discussed;Then,based on the fuzzy PID control method,the particle swarm optimization algorithm is introduced to optimize the PID parameters;Finally,the effectiveness and feasibility of the proposed method were verified through comparative experiments.The test results show that the particle swarm optimization algorithm can optimize the fuzzy PID control system,and the time required for the fuzzy PID control system to enter steady state after being optimized by the particle swarm optimization algorithm is greatly reduced,the overshoot amplitude is minimized,and there is no oscillation during the entire control process.It can be seen that the temperature control method designed in this article is feasible and effective,with fast response speed and high stability.It can achieve the goal of improving the adaptive ability of the temperature control system,and then achieve the adjustment and control of the temperature of the blast furnace burner.

关 键 词：粒子群优化算法 PID控制算法 模糊控制规则 温度控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]