Fuel–air ratio control for a spark ignition engine using gain-scheduled delay-dependent approach
- Author(s): Hai Yin 1 and Zhiyuan Liu 1
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View affiliations
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Affiliations:
1:
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic of China
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Affiliations:
1:
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic of China
- Source:
Volume 9, Issue 12,
06 August 2015,
p.
1810 – 1820
DOI: 10.1049/iet-cta.2014.1306 , Print ISSN 1751-8644, Online ISSN 1751-8652
A novel approach to fuel–air ratio (FAR) control for spark ignition (SI) engines is presented in this study. The FAR dynamics are modelled as a first-order plus time-varying delay system. Time delay in the control plant is not approximated using the Pade formula. For controller design purposes, it is described as a time-varying delay in the measurement output. A gain-scheduled delay-dependent controller, regarding the time delay as a time-varying parameter, is then designed to track FAR reference and minimise the effects of disturbances on FAR regulation. The proposed controller guarantees the stability of closed-loop system and induced L 2 norm performance using Lyapunov–Krasovskii functional. The design method is then formulated in terms of linear matrix inequalities that leads to a convex optimisation problem and can be solved by parameter gridding technique. Simulation results validate the FAR regulation of proposed controller over the large range of time delay, which covers most engine operating conditions in practice.
Inspec keywords: delays; machine control; engines; closed loop systems; time-varying systems; control system synthesis; stability; linear matrix inequalities
Other keywords: fuel–air ratio control; gain-scheduled delay-dependent approach; linear matrix inequalities; Pade formula; stability; FAR control; closed-loop system; spark ignition engine; time-varying delay system; controller design
Subjects: Control system analysis and synthesis methods; Algebra; Stability in control theory; Time-varying control systems; Control technology and theory (production); Engines; Algebra; Control of electric power systems; Distributed parameter control systems
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