Extended Guaranteed Cost Control of Diesel Engine via LMI Approach

Ge Yu, Harutoshi Ogai, Haoyang Deng

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a control design method for a nonlinear diesel engine system with strong couplings and actuator constraints. The performance goal is to track the reference of engine speed and reduce exhaust emission of nitrogen oxides (NOx) during transient process. Combustion uncertainties and nonlinear behavior of the system make the problem difficult to handle using classical control design methods. Instead, we propose the extended guaranteed cost control system. The models used for controller design are developed by the state-space format with parameter uncertainties. Exponential stability for the systems is studied. The control laws and observer gains are given from feasible solution of the augmented linear matrix inequality (LMI) to ensure that the cost function value is not more than a specified upper bound for all admissible uncertainties. The proposed approach has low computation requirement and is suitable for implementation in the on board. engine control unit The application of this system in a continuous working process by using dSPACE MicroAutoBox verified its feasibility and effectiveness.

Original languageEnglish
Pages (from-to)496-504
Number of pages9
JournalIEEJ Transactions on Electrical and Electronic Engineering
Volume13
Issue number3
DOIs
Publication statusPublished - 2018 Mar 1

Fingerprint

Linear matrix inequalities
Diesel engines
Costs
Engines
Nitrogen oxides
Asymptotic stability
Cost functions
Actuators
Control systems
Controllers
Uncertainty

Keywords

  • diesel engine
  • guaranteed cost control
  • linear matrix inequality (LMI) approach
  • Lyapunov theory

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Extended Guaranteed Cost Control of Diesel Engine via LMI Approach. / Yu, Ge; Ogai, Harutoshi; Deng, Haoyang.

In: IEEJ Transactions on Electrical and Electronic Engineering, Vol. 13, No. 3, 01.03.2018, p. 496-504.

Research output: Contribution to journalArticle

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