| 引用本文: | 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/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2024，41（3）：81-88 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| 目的 针对热风炉冷风均压控制中存在的大惯性、大滞后和超调量大等问题,提出一种基于双目标区域化粒
子群算法的热风炉冷风均压滑模控制策略。 方法 所提策略将冷风流量作为控制量,将冷风压力设为被控量,将滑
模控制算法与粒子群优化算法相结合,选取常规滑模算法并对其进行改进,运用指数趋近律降低外部扰动对系统
产生的影响,并加入双目标区域化粒子群算法对滑模切换增益系数和指数趋近系数进行寻优,通过粒子平均排名、
环境检验参数等指标作为寻优条件,以求取最优滑模控制律对冷风压力进行调控,进而实现均压优化控制效果。
结果 仿真结果表明:所设计控制策略在适配条件下于 58. 2 s 时达到稳定,超调量为 4. 1%,在失配且加入干扰条件
下于 72. 4 s 时达到稳定,超调量仅为 17. 6%,与串级 PID 控制和常规滑模控制相比,策略拥有良好的超调和快速达
到稳定的能力。 结论 工程应用表明:冷风压力波动偏差仅为±6. 48 Kpa,所提控制策略拥有稳定性高、响应快和超
调量小的特点,能够较好应用于实际生产中热风炉冷风均压工况要求。 |
| 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 |
| DOI： |
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| Dual-objective Regionalized PSO Hot-blast Stove Pressure Equalization Sliding Mode Control |
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FENG Xugang,FAN Rong,ZHAO Yuxiang
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School of Electrical and Information Engineering Anhui University of Technology Anhui Maanshan 243002 China
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| 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. |
| Key words: cold air pressure equalization sliding mode control exponential convergence law dual-objective regionalized
particle swarm |
