Air management in a diesel engine using fuzzy control techniques

被引：20
|
作者：
Garcia-Nieto, S. [1 ]
Salcedo, J. [1 ]
Martinez, M. [1 ]
Lauri, D. [1 ]
机构：
[1] Univ Politecn Valencia, Inst Univ Automat & Informat Ind, Valencia 46022, Spain
来源：
INFORMATION SCIENCES | 2009年 / 179卷 / 19期
关键词：
Fuzzy systems; Identification; LMIs; Nonlinear control; Diesel engines; PREDICTIVE CONTROL; SYSTEMS; SPEED;
D O I：
10.1016/j.ins.2009.06.009
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Air management for diesel engines is a major challenge from the control point of view because of the highly nonlinear behavior of this system. For this reason, linear control techniques are unable to provide the required performance, and nonlinear controllers are used instead. This article discusses two fundamental steps when designing a control system. Firstly, a methodology to identify Takagi-Sugeno (T-S) structures using experimental data is proposed. Secondly, the design of a fuzzy controller in PDC structure (Parallel Distributed Compensation) is presented. The parameters of this controller are obtained from a LMI (Linear Matrix Inequalities) minimization problem. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码：3392 / 3409
页数：18
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