水轮机调节系统控制策略综述

综述水轮机调节系统常规PID控制、自适应控制、智能控制和非线性控制的特点,指出模糊控制和专家控制精度较低;神经元网络控制学习速度较慢、易收敛到局部最小点;遗传算法可有效地解决参数寻优问题;非线性控制着眼于水轮机调节系统的非线性特性,控制效果较好.提出将非线性控制与其它控制策略相结合形成复合控制,将是水轮机调节系统控制策略的发展方向.

Research on control method of turbine regulation system

The characteristics of conventional PID control, self-adaptable control, intelligent control and non-linear control of the turbine regulating system are summarized, and following properties are pointed out: fuzzy control and expert system control have low accuracy; neural network control has low learning speed and is likely to converge to a local minimum point; hereditary algorithm may efficiently solve problems on optimizing parameters; non-linear control emphasizes the non-linear characteristics of the turbine regulating system and may achieve good control results. Non-linear control in combination with other controls is proposed to form a composite control, which is the development direction of the turbine regulating system.