Stable fault-tolerant adaptive fuzzy/neural control for a turbine engine

被引:117
作者
Diao, YX [1 ]
Passino, KM
机构
[1] IBM Corp, Thomas J Watson Res Ctr, Hawthorne, NY 10532 USA
[2] Ohio State Univ, Dept Elect Engn, Columbus, OH 43210 USA
关键词
adaptive control; engine; fault-tolerant control; fuzzy systems; neural networks;
D O I
10.1109/87.918902
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Stimulated by the growing demand for improving the reliability and performance of systems, fault-tolerant control has been receiving significant attention since its goal is to detect the occurrence of faults and achieve satisfactory system performance in the presence of faults. To develop an intelligent fault-tolerant control system, we begin by constructing a design model of the system using a hierarchical learning structure in the form of Takagi-Sugeno fuzzy systems. Afterwards, the fault-tolerant control scheme is designed based on stable adaptive fuzzy/neural control, where its on-line learning capabilities are used to capture the unknown dynamics caused by faults, Finally, the effectiveness of the proposed methods has been studied by extensive analysis of system zero dynamics and asymptotic tracking abilities for both indirect and direct adaptive control cases, and by "component level model" simulation of the General Electric XTE46 turbine engine.
引用
收藏
页码:494 / 509
页数:16
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