论文部分内容阅读
近年来,神经网络控制算法日益完善和健全,模糊控制技术也在不同领域均得到了广泛的运用,将这两种先进的技术运用到水轮机控制系统的设计过程中,能够有效提高系统的设计效率。本研究主要对基于模糊径向函数的神经网络PID控制系统设计进行了概述,分析了系统内的模糊化模块,并阐述了水轮机调速系统控制器设计,介绍了水轮机调速系统总体架构,并开展系统Matlab仿真实验,以期进一步提升水轮机调速系统的整体性能,完善系统的鲁棒性及动态性,提高调速效果和质量。
In recent years, neural network control algorithm is increasingly perfect and sound, fuzzy control technology has also been widely used in different fields, the two advanced technologies applied to the turbine control system design process, which can effectively improve the design efficiency of the system . In this paper, the design of neural network PID control system based on fuzzy radial function is mainly introduced, the fuzzification module in the system is analyzed, the controller design of hydraulic turbine speed regulation system is expounded, and the general structure of hydraulic turbine speed regulation system is introduced. The system Matlab simulation experiments are carried out to further enhance the overall performance of turbine governor system, improve the robustness and dynamic of the system, and improve the effect and quality of speed regulation.