基于现代智能控制技术的水轮机自适应工况PID调速器研究  

Research of self-adaptive PID hydraulic turbine governor based on modern intelligence control technology

作　　者：曹程杰[1,2] 莫岳平[1] 

机构地区：[1]扬州大学能源与动力工程学院,江苏扬州225000 [2]南瑞自动控制有限公司,江苏南京210000

出　　处：《电力系统保护与控制》2010年第3期81-85,94,共6页Power System Protection and Control

摘　　要：针对水轮机常规PID调速器不能根据系统的动态过程自动调整控制参数的缺点,提出一种新的基于现代智能控制技术的水轮机自适应工况PID调节方法。该方法根据水轮机模型综合特性曲线划分水轮机工况,采用一种改进遗传算法对水轮机的不同工况求取最优调节参数,利用神经网络做到运行工况与最优参数间的平滑切换。经过仿真表明,该控制方法具有良好的静态和动态性能,并具有很强的鲁棒性。In order to overcome the flaw of general hydraulic turbine PID governor, a new self-adaptive PID control based on the modern intelligence control technology is proposed. First, it divides the condition of hydraulic turbine according to synthetic characteristic curve, then calculates the optimal parameter for different conditions using an improved genetic algorithm, and smoothly switches the parameter by means of ANN. The simulation result shows that the new control method has excellent static and dynamic performance, in addition, it has a strong robust performance.

关 键 词：水轮机调速器 自适应PID 遗传算法 神经网络 

分 类 号：TV734.1[水利工程—水利水电工程]