Synchronous generator excitation system is a complex control system with time -varying, multi -time -delay and highly nonlinear. The reliability of its operation directly affects the stability of the whole power system. Therefore,it is important to control the excitation system effectively. In order to solve this problem,a fuzzy sliding mode compound control strategy is proposed to meet the dynamic and static performance requirements of the generator excitation system. Sliding mode control can effectively solve the robustness problem of generator excitation control and ensure the global asymptotic stability of the system, with the advantages of its invariance of disturbance and perturbation. At the same time,the method of exponential convergence law can be used to make the system reach the switching surface quickly in the approaching motion section. Fuzzy control applied to the excitation control can mimic people' s experience to carry out expert control of complex objects,provide better damping effect, reduce the sliding mode movement of the buffeting phenomenon, and improve the dynamic quality under the disturbance. MATLAB is used to simulate to verify the effect of the algorithm. The results show that,compared with the simple sliding mode control,the proposed algorithm can improve the response speed of the generator excitation system, enhance the robustness and improve the stability of power system effectively.%同步发电机励磁系统是一个具有时变性、多时滞环节以及高度非线性的复杂控制系统,其运行是否可靠直接影响到整个电力系统运行的稳定性.因此,对发电机励磁系统进行有效的控制至关重要.针对发电机励磁系统运行时的动静态性能要求,提出一种模糊滑模复合控制策略.滑模控制以其对干扰和摄动的不变性等优点,可以有效地解决发电机励磁控制的鲁棒性问题,并可保证系统的全局渐进稳定性;同时,采用指数趋近律的方法,可以使系统在趋近运动段快速到达切换面.模糊控制能够模仿人的经验对复杂对象进行专家控制.将其应用于励磁控制中,可以提供更佳的阻尼效果,减少滑模运动产生的抖振,提高扰动下的动态品质.为验证算法效果,利用MATLAB进行仿真.仿真结果表明,与单纯的滑模控制相比,该控制算法可加快发电机励磁系统的响应速度,增强鲁棒性,有效地提高了电力系统的稳定性.
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