改进遗传算法在火电厂主汽温控制系统中的研究OA
Research on Improved Genetic Algorithm in Main Steam Temperature Control System of Thermal Power Plant
针对火电厂主汽温回路大惯性、大延迟、非线性和时变性的复杂特性,且 PID 不能自整定及整定难的问题,提出了一种基于改进遗传算法(genetic algorithm,GA)的并行式二自由度 PID 控制方法.运用提出的改进遗传算法,对并行式二自由度 PID 控制器的参数进行优化,并用于主汽温控制系统.仿真结果表明:与其他方法相比,该方法控制效果更优,具有响应快、调节时间短、超调量小及鲁棒性好等特性,可满足火电厂主汽温控制系统现场控制要求.
In view of the complex characteristics of the main steam temperature loop in thermal power plants,such as large inertia,large delay,nonlinearity and time-varying,and the difficulty of PID self-tuning,a parallel two-degree-of-freedom PID control method based on improved genetic algorithm(GA)is proposed.The parameters of the parallel two-degree-of-freedom PID controller are optimized by using the improved genetic algorithm,and it is used in the main steam temperature control system.The simulation results show that compared with other methods,the proposed method has better control effect,fast response,short adjustment time,small overshoot and good robustness,which can meet the field control requirements of main steam temperature control system in thermal power plant.
吴延凯;魏宏飞
河南工业职业技术学院自动化工程学院,河南 南阳 473000河南工业职业技术学院自动化工程学院,河南 南阳 473000
信息技术与安全科学
主汽温PID遗传算法二自由度超调量鲁棒性
main steam temperaturePIDgenetic algorithmtwo-degree-of-freedomovershootrobustness
《兵工自动化》 2026 (4)
58-61,71,5
河南省科技攻关项目(242102111191)南阳市科技攻关项目(23KJGG073)
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