重庆工商大学学报（自然科学版）2024，Vol.41Issue(3)：81-88,8.DOI:10.16055/j.issn.1672-058X.2024.0003.011
双目标区域化PSO热风炉均压滑模控制
Dual-objective Regionalized PSO Hot-blast Stove Pressure Equalization Sliding Mode Control
摘要
Abstract
Objective Aiming at the problems of large inertia,large hysteresis,and large overshooting in the control of cold air equalization pressure of hot blast furnace,a sliding mode control strategy based on dual-objective regionalized particle swarm algorithm for cold air pressure equalization of hot blast furnace was proposed.Methods In the proposed strategy,the cold air flow rate was used as the control quantity,the cold air pressure was set as the controlled quantity,the sliding mode control algorithm was combined with the particle swarm optimization algorithm,and the conventional sliding mode algorithm was selected and improved.The exponential convergence law was used to reduce the influence of external disturbances on the system,and a two-objective regionalized particle swarm algorithm was added to optimize the sliding mode switching gain coefficients and exponential convergence coefficients.By taking the average ranking of particles,environmental test parameters,and other indexes as the optimization conditions,the optimal sliding mode control law was taken to regulate the cold air pressure,so as to realize the optimal control effect of equalizing pressure.Results The simulation results showed that the designed control strategy stabilized at 58.2s with 4.1％overshoot under the fit condition,and stabilized at 72.4s with only 17.6％overshoot under the mismatch and disturbance conditions.Compared with serial PID control and conventional sliding mode control,the proposed strategy has good overshooting and fast stabilization.Conclusion The engineering application shows that the deviation of cold air pressure fluctuation is only ±6.48 Kpa.The proposed control strategy has the characteristics of high stability,fast response,and small overshoot,which can be well applied in the actual production and meet the requirements of cold air pressure equalization of hot blast furnaces.关键词
冷风均压/滑模控制/指数趋近律/双目标区域化粒子群Key words
cold air pressure equalization/sliding mode control/exponential convergence law/dual-objective regionalized particle swarm分类
矿业与冶金引用本文复制引用
冯旭刚,樊嵘,赵宇翔..双目标区域化PSO热风炉均压滑模控制[J].重庆工商大学学报（自然科学版）,2024,41(3):81-88,8.基金项目
安徽省自然科学基金(1908085ME134) （1908085ME134）
安徽高校自然科学研究重大项目(KJ2021ZD0042). （KJ2021ZD0042）
