AUTONOMOUS ADAPTIVE SYNCHRONOUS MACHINE CONTROL

被引:5
作者
SOBAJIC, DJ
PAO, YH
LEE, DT
机构
[1] Department of Electrical Engineering and Computer Science, Case Western Reserve University, AI WARE Inc., Cleveland
关键词
NONLINEAR; TIME-VARYING; MULTIVARIABLE ADAPTIVE CONTROL; ASSOCIATIVE MEMORIES; SPEED AND VOLTAGE REGULATION;
D O I
10.1016/0142-0615(92)90041-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we present a design of a new adaptive control system and demonstrate its performance in a computer simulation of nonlinear synchronous machine control. The new design utilizes self-organization and the predictive estimation capabilities of neural-net computing. Real-time adaptation is facilitated by the error-based on-line learning scheme implemented on a cluster-wise segmented associative memory system. It is demonstrated that the neural network system is capable of modelling highly nonlinear systems, detecting changes in the dynamic process conditions and stabilizing the system.
引用
收藏
页码:166 / 174
页数:9
相关论文
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