A nonlinear state-space model of diesel propulsion plant operation using neural nets

被引：0

作者：

Xiros, NI ^{[1
]}

Kyrtatos, NP ^{[1
]}

机构：

[1] Natl Tech Univ Athens, Lab Marine Engn, GR-15773 Zografos, Greece

来源：

CONTROL APPLICATIONS IN MARINE SYSTEMS 2001 (CAMS 2001) | 2002年

关键词：

neural nets; marine propulsion; state-space models;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cycle-mean-value, quasi-steady, thermodynamic models of the slow-speed, two-stroke turbocharged marine Diesel engine is a valuable simulation tool. Engine operation models of this kind comprise of two differential equations and a nonlinear, perplexed algebraic system for the engine/turbine/compressor torques. Neural nets are proposed in order to establish the functional dependence of the torque variables upon the state variables (engine/turbo rpm) and the control input (fuel index). In effect a state-space model is obtained which is decomposed to a nonlinear nominal model and a linear uncertain perturbation model, convenient for the application of robust control methods. Copyright (C) 2001 IFAC.

引用

页码：131 / 136

页数：6