摘要
提出一种以数字信号处理器(DSP)为工作平台的自适应最优励磁控制器(AOEC)。AOEC充分利用了DSP强大的计算处理能力,可以对发电机控制过程进行实时辨识,并将辨识参数代入离散的Riccati方程实时求解最优反馈增益,以得到最优控制输出。理论上,该控制器能够保证被控对象始终保持最优性能。单机无穷大系统的动模实验表明,AOEC具有良好的控制性能,在暂态过程中能够为系统提供足够的阻尼。同时讨论了自适应算法实用化过程中对辨识算法的一些改进措施。
An adaptive optimal excitation controller (AOEC) based on the digital signal processor (DSP) is proposed. By means of the powerful calculating capacity of DSP, AOEC can identify real time the generator operating procedures and provide identified parameters to a special discrete Riccati equation. Then optimal feedback gains are obtained by solving the Riccati equation. In theory, AOEC can ensure the controlled objects to maintain the optimal performance in any situation. Dynamic simulations on a single machine infinite bus system show that AOEC has good control performance and can provide the system with sufficient damp in the transient procedure. Measures to improve the identification algorithm in the implementation process of the adaptive algorithm are also discussed.
出处
《电力系统自动化》
EI
CSCD
北大核心
2005年第5期79-83,共5页
Automation of Electric Power Systems
关键词
自适应控制
辨识
励磁
数字信号处理器
adaptive control
identification
excitation
digital signal processor (DSP)
