基于遗传算法的火电单元机组模糊控制系统

火电单元机组是一个多变量、强耦合、大时滞复杂的非线性系统，难以建立精确的数学模型，其控制系统的设计面临着严峻的挑战。文章提出了基于遗传算法的火电单元机组模糊控制系统。遗传算法用全局优化模糊控制器隶属度函数的比例因子，优化后的模糊控制器较好地补偿了负荷扰动所引起的单元机组的实际值与设定值的偏差。仿真结果表明，该系统有良好的动态特性，能适应于火电单元机组大范围运行时的负荷跟踪。

Power Unit Fuzzy Control System Based on Genetic Algorithm

Power unit is a multivariable, strong couple and long time delay complexity nonlinear system. It is difficult to set up the exactly mathematic model and it is a challenge for the design of the power unit control system. This paper proposes a power unit fuzzy control system based on genetic algorithm. The genetic algorithm optimizes the scale gain of the membership function of the fuzzy controller. The optimal fuzzy controller complement the error between the actually value and the setpoint value well under load disturbing. The simulation results show that it has good dynamic characteristic and suitable for wide range load tracking.