基于GA的自适应PID在直冷机组背压控制的应用
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摘要
针对目前燃煤电厂直接空冷背压控制系统具有的非线性、时变、多变量、大迟延等动态特性,文中将遗传算法运用于PID参数整定中,形成基于遗传算法GA的参数自适应PID控制策略,并结合某300 MW直接空冷机组背压控制系统数学模型进行仿真。仿真结果表明,该控制算法较常规PID控制具有超调量小、调节时间短的特点,并在对象模型参数改变的情况下,都表现出较好的动态性能和稳态性能,具有较强的自适应能力。
Against the dynamic characteristics of non-linear,time-varying,multivariable and large delay in the direct air-cooling back pressure control system of coal-fired power plant.In this paper,the genetic algorithm is applied to PID parameter tuning to form a parameter adaptive PID control strategy based on genetic algorithm(GA). Combined with the mathematical model of back pressure control system for a 300 MW direct air-cooling unit,the results show that the control algorithm is less than the conventional PID control in overshoot,the adjustment time is short,and in the case of object model parameters change,have shown good dynamic performance and steady state performance,with strong adaptive ability.
Against the dynamic characteristics of non-linear,time-varying,multivariable and large delay in the direct air-cooling back pressure control system of coal-fired power plant.In this paper,the genetic algorithm is applied to PID parameter tuning to form a parameter adaptive PID control strategy based on genetic algorithm(GA). Combined with the mathematical model of back pressure control system for a 300 MW direct air-cooling unit,the results show that the control algorithm is less than the conventional PID control in overshoot,the adjustment time is short,and in the case of object model parameters change,have shown good dynamic performance and steady state performance,with strong adaptive ability.
引文
[1]王宏宇,白焰.电厂直接空冷系统汽轮机背压的控制方法[J].化工自动化及仪表,2016,43(6):584-586.
[2]郭寻.直接空冷机组背压优化与控制方法的研究[D].北京:华北电力大学,2013.
[3]郑海霞,王林.遗传算法的自适应PID控制器的应用[J].自动化仪表,2009,30(4):58-60.
[4]Chen Huai-zhong.Research of adaptive PID controller based on genetic algorithm[J].Applied Mechanics and Materials,2011,1151(48).
[5]刘芳,马玉磊,周慧娟.基于种群多样性的自适应遗传算法优化仿真[J].计算机仿真,2017,34(4):250-255.
[2]郭寻.直接空冷机组背压优化与控制方法的研究[D].北京:华北电力大学,2013.
[3]郑海霞,王林.遗传算法的自适应PID控制器的应用[J].自动化仪表,2009,30(4):58-60.
[4]Chen Huai-zhong.Research of adaptive PID controller based on genetic algorithm[J].Applied Mechanics and Materials,2011,1151(48).
[5]刘芳,马玉磊,周慧娟.基于种群多样性的自适应遗传算法优化仿真[J].计算机仿真,2017,34(4):250-255.