基于GA的自适应PID在直冷机组背压控制的应用

摘要

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.%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300MW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.