基于Smith预估控制和遗传算法优化的燃油蒸汽锅炉燃烧控制

Combustion Control of Oil Fired Steam Boiler based on Smith Predictive Control and Genetic Algorithm Optimization

为解决蒸汽锅炉燃烧控制效果不佳的问题,提出一种基于Smith预估控制和遗传算法优化的燃油蒸汽锅炉燃烧控制方法,使用模糊控制输出变偏置双交叉限幅燃烧控制方法中的偏置函数,对控制器采用遗传算法进行参数优化,并使用Smith预估控制法搭建控制回路。在仿真中以常用蒸汽压力3.8和5.6 MPa两个工况升降负荷为例,对传统的变偏置双交叉限幅燃烧控制方法和改进的燃烧控制方法进行了对比,并进行鲁棒性分析。仿真结果表明:控制系统的快速性、稳定性均有所改善,且改进后的系统具有良好的鲁棒性。

In order to solve the problem of poor combustion control effect of steam boiler,a combustion control method of oil fired steam boiler based on Smith predictive control and genetic algorithm optimization was proposed.The bias function in the combustion control method featuring variable offset and dual-crisscross amplitude limit based on fuzzy control output was used to optimize the parameters of the controller using genetic algorithm,and the control loop was built using Smith predictive control method.In the simulation,the traditional combustion control method featuring variable offset and dual-crisscross amplitude limit and the improved combustion control method were compared,and the robustness analysis was carried out,taking two working conditions of steam pressures of 3.8 MPa and 5.6 MPa commonly used in engineering as an example.The simulation results show that the speediness and stability of the control system are improved,and the improved system has good robustness.