本文给出了多机电力系统分散最优励磁控制器的一种新算法。
In this paper a new algorithm is proposed to design a decentralized optimal excitation controller for multimachine power systems.
本文以物理分析为依据，提出了一种多机电力系统分散最优励磁控制器状态权矩阵选择方法。
Based on the physical analysis, this paper proposed a new method for selecting the states weighting matrix in the decentralized optimal excitation control of multimachine power systems.
讨论了使用综合阻尼力矩求解线性最优励磁控制器的状态反馈系数的原理，它较经典的庞特里亚金法易懂。
The principle of using comprehensive damping torque to solve feedback gain of linear optimal excitation controller is presented.
提出了一种新的模糊推理机和设计方法，并在线性最优励磁控制器的基础上，实现了发电机励磁的快速模糊自适应控制。
The paper proposes a new way to design a fuzzy inference machine. On the basis of a linear optimal excitation controller, the fast fuzzy adaptive excitation control of the generator is realized.
最后，用计算机仿真的方法对该控制器进行了研究，结果表明线性鲁棒励磁控制器在稳定系统方面优于线性最优励磁控制器。
Finally, resorting to computer simulation, a comparison is made to show that the robust exciting controller have an advantage over the linear optimal exciting controller.
最后，用计算机仿真的方法对该控制器进行了研究，结果表明线性鲁棒励磁控制器在稳定系统方面优于线性最优励磁控制器。
Finally, resorting to computer simulation, a comparison is made to show that the robust exciting controller have an advantage over the linear optimal exciting controller.
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