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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。
The thermal power unit is a nonlinear system with many variables, strong coupling and large time delay. It is difficult to establish an accurate mathematical model. The design of its control system is facing severe challenges. This paper presents a fuzzy control system of thermal power unit based on genetic algorithm. The genetic algorithm is used to optimize the membership function of the fuzzy controller globally. The optimized fuzzy controller compensates for the deviation between the actual value and the set value of the unit caused by the load disturbance. The simulation results show that the system has good dynamic characteristics and can be adapted to the load tracking in the large-scale operation of thermal power units.