Neural network based, discrete adaptive sliding mode control for idle speed regulation in IC engines

被引：10
|
作者：
Li, XQ [1 ]
Yurkovich, S [1 ]
机构：
[1] Ohio State Univ, Dept Elect Engn, Ctr Automat Res, Columbus, OH 43210 USA
来源：
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 2000年 / 122卷 / 02期
关键词：
D O I：
10.1115/1.482463
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An adaptive sliding mode control design method is proposed for discrete nonlinear systems where explicit knowledge of the system dynamics is nor available. Three-layer feed forward neural networks are used as function approximators for the unknown dynamics. The control law is designed based on the outputs of the approximators, ann the sliding surface is defined in terms of a stable polynomial of the system outputs. Convergence of the state trajectories into a small sliding sector is proved. The method is applied to the internal combustion (IC) engine idle speed control problem. Simulation and experimental results are provided. [S0022-0434(00)01702-0].
引用
收藏
页码：269 / 275
页数：7
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