论文部分内容阅读
采用传统线性化方法,将单机无穷大系统线性化,求得多个平衡点的线性化模型,再通过隶属度函数把各个子系统联系起来,建立系统的全局模型——模糊T-S模型。设计各个子系统线性最优励磁控制器以后,采用并行分配补偿技术设计全局系统的控制规律,将原来的固定系数反馈改进为随系统状态变化而变化的动态反馈。利用Matlab进行了仿真,结果表明本文设计的控制器能较好改善系统的静态和暂态稳定性能。
The traditional linearization method is used to linearize the single-machine infinite system to obtain the linearized models of multiple equilibrium points. The membership functions are used to link the various subsystems to establish a global model of the system-fuzzy T-S model. After designing the linear optimal excitation controller of each subsystem, the control law of the global system is designed by using the parallel distributed compensation technique, and the original fixed coefficient feedback is improved to the dynamic feedback which varies with the system state. The simulation with Matlab shows that the controller designed in this paper can better improve the static and transient stability of the system.