改进遗传算法PID参数优化在吹贯蒸汽流速控制中的应用
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摘要
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.
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.
引文
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[6] LEE C H,CHANG F K.Fractional-order PID Controller Optimization via Improved Electromagnetism-like Algorithm[J].Expert Systems with Applications,2010,37(12):8871.
[7] Li Rui.Research on Steam and Condensate Thermo-Dynamic System Based on Adjustable Thermal Compressor[D].Xi'an:Shaanxi University of Science & Technology,2012.李蕊.基于可调热泵的蒸汽冷凝水热力系统研究[D].西安:陕西科技大学,2012.
[8] Wang Xianfang,Du Zhiyong,Pan Feng.Tuning PID parameters based on chaotic immune genetic algorithms[J].Computer Engineering and Applications,2010,46(13):242.王鲜芳,杜志勇,潘丰.基于混沌免疫遗传算法整定PID参数[J].计算机工程与应用,2010,46(13):242.
[9] Zhang Jiajun.Optimization Parameters of PID Controller Parameters Based on Particle Swarm Optimization[J].Computer Simulation,2010,27(10):191.张家骏.基于粒子群算法的PID控制器参数优化研究[J].计算机仿真,2010,27(10):191.
[10] Wang Xiaoping,Cao Liming.Genetic algorithm—theory,application and software implementation[M].Xi'an:Xi'an Jiaotong University Press,2002:15.王小平,曹立明.遗传算法——理论、应用与软件实现[M].西安:西安交通大学出版社,2002:15.
[2] Dong Jixian,Shi Yun,Tang Wei.An analysis and research of drying mechanism of multi-channel cylinder dryer[J].Chinese Journal of Paper Industry,2016,37(6):26.董继先,史韵,汤伟.造纸机多通道烘缸干燥机理的分析与研究[J].中华纸业,2016,37(6):26.
[3] Tang Wei,Wang Qi,Chen Hang,et al.Steam and Condensate System for Chinese High Speed Tissue Paper Machines[J].Paper Science and Technology,2014,33(6):124.汤伟,王琦,陈航,等.国产高速卫生纸机蒸汽冷凝水系统[J].造纸科学与技术,2014,33(6):124.
[4] Li Qian,Pang Xiao,Tang Wei,et al.Application of Improved PSO Algorithm in Parameter Setting of Pressure Control in Paper Drying[J].Paper and Paper Making,2016,35(10):4.李茜,庞肖,汤伟,等.基于改进的PSO算法在纸机干燥部压力控制PID参数整定中的应用.[J].纸和造纸,2016,35(10):4.
[5] Liu Jinkun.MATLAB simulation of advanced PID control[M].Beijing:Electronics Industry Press,2004:233.刘金琨.先进PID控制MATLAB仿真[M].北京:电子工业出版社,2004:233.
[6] LEE C H,CHANG F K.Fractional-order PID Controller Optimization via Improved Electromagnetism-like Algorithm[J].Expert Systems with Applications,2010,37(12):8871.
[7] Li Rui.Research on Steam and Condensate Thermo-Dynamic System Based on Adjustable Thermal Compressor[D].Xi'an:Shaanxi University of Science & Technology,2012.李蕊.基于可调热泵的蒸汽冷凝水热力系统研究[D].西安:陕西科技大学,2012.
[8] Wang Xianfang,Du Zhiyong,Pan Feng.Tuning PID parameters based on chaotic immune genetic algorithms[J].Computer Engineering and Applications,2010,46(13):242.王鲜芳,杜志勇,潘丰.基于混沌免疫遗传算法整定PID参数[J].计算机工程与应用,2010,46(13):242.
[9] Zhang Jiajun.Optimization Parameters of PID Controller Parameters Based on Particle Swarm Optimization[J].Computer Simulation,2010,27(10):191.张家骏.基于粒子群算法的PID控制器参数优化研究[J].计算机仿真,2010,27(10):191.
[10] Wang Xiaoping,Cao Liming.Genetic algorithm—theory,application and software implementation[M].Xi'an:Xi'an Jiaotong University Press,2002:15.王小平,曹立明.遗传算法——理论、应用与软件实现[M].西安:西安交通大学出版社,2002:15.