Design of Fuzzy PID Temperature Control System for High Temperature Furnace Based on Group Intelligence Optimization Algorithm and MATLAB Simulation
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 tempera-ture control and achieve the purpose of adjusting and controlling the temperature of blast furnace burners.Firstly,the fuzzy PID con-trol method was studied and discussed;Then,based on the fuzzy PID control method,the particle swarm optimization algorithm is in-troduced to optimize the PID parameters;Finally,the effectiveness and feasibility of the proposed method were verified through com-parative 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 al-gorithm 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 stabili-ty.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.
particle dwarm optimization algorithmPID control algorithmfuzzy control rulestemperature control
万方数据
维普
