改进遗传算法PID参数优化在吹贯蒸汽流速控制中的应用

Application of the PID Parameters Optimization Based on Improved Genetic Algorithm in Blow-through Steam Flow Rate Control

纸机干燥部吹贯蒸汽流速控制是解决烘缸积水问题的一项重要措施。吹贯蒸汽流速控制通常采用PID控制器,而传统的PID控制方法的控制精度较低、参数整定耗时较长,难以达到理想的控制效果。本课题在对基本遗传算法进行分析的基础上,提出了一种改进的遗传算法,并将该算法用于PID控制器参数优化,实现对纸机干燥部吹贯蒸汽流速的精确控制。MATLAB仿真实验结果表明,与常规PID控制器和基于基本遗传算法的PID控制器相比,基于改进遗传算法的PID控制系统具有响应速度快、超调量小、鲁棒性强的优点,能够获得理想的控制效果。文中所述算法已投入实际应用,明显提高了二次蒸汽的利用效率,能够获得可观的经济效益。

Blow-through steam flow rate control of paper machine dryer section is an important measure to solve the problem of hydrops in the steam dryer.Blow-through steam flow rate control usually uses PID controller,while traditional PID control is usually inaccurate and the parameters setting method is time consuming,it's difficult to achieve the ideal control effect.In this paper,on the basis of the analysis of basic genetic algorithm,an improved genetic algorithm was put foward,the algorithm was used in PID controller parameters optimization,which implemented the accurate control of blow-through steam flow rate control of paper machine dryer section.MATLAB simulation experiments showed that the proposed control system had the characteristics of faster response speed,smaller overshoot and better robustness compared with the conventional PID controller and PID controller based on basic genetic algorithm,it could achieve the ideal control effect,the practical application of this algorithm significantly increased the utilization efficiency of secondary steam,which obtained the prominent economic benefits.