Nonlinear Excitation System Control Based On T-S Fuzzy Model

Stabilization of power system is the key to the safe operation of network, once it is destroyed which will lead to enormous economic losses and calamitous results. There are lots of bitter lessons in the world. Among these methods to improve stability of generators, improving the performance of excitation device is regard as one of the most efficient and economic way. But the problems in the control system of excitation device such as its robustness, fast response and effectivity are still not well resolved.Nonlinear excitation controller Based on the T-S fuzzy model regards the whole non-linear excitation system as fuzzy approximation of many partial linear models, by designing local controller for each sub-system, each sub-system is in the stable stage, and thus gives one sufficient condition to judge the stability of the whole system, the system controller is the weighted sum of each local controller.Based on deviating and linearizing the third-order hydroelectric generator model, controller is designed for the non-linear excitation system based on the T-S fuzzy model in this paper, and the specific design method and procedure are given. And through simulations the accuracy and the validity of non-linear excitation system based on the T-S fuzzy system are proved sufficiently.In this paper, LMI (linear matrix inequality) the toolbox in MATLAB software is used to solve the stability and control problem of system, which avoids difficulties in the solving public matrix P, and at last gain of the total controller can be obtained by using the toolbox of LMI to seek the matrix we need This method to use MATLAB/LMI toolbox solving problem and optimizing the controller parameters is convenient and is more suitable for application in practice. And by using MATLAB/Simpower toolbox-software platform for simulating electrical power system, digital simulation for electrical powersystem is completed, and simulation model for single plane infinite large-scale system included the excitation controller is also put forward. The simulation results show that the controller based on T-S fuzzy model can subside the vibration very quickly effectively enhance the system's transient stabilization improvement system dynamic performance and can satisfy the breakdown excision thevoltage precision request.