Air-fuel ratio control of lean-burn SI engines using fuzzy sliding-mode technique

Hsiu Ming Wu, Reza Tafreshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Minimization of the carbon dioxide and harmful pollutants emissions and maximization of fuel economy for the lean-burn spark ignition (SI) engines significantly rely on precise air-fuel ratio (AFR) control. However, the main challenge of AFR control is the large time-varying delay which exists in lean-burn engines. Since the system is usually subject to external disturbances and uncertainties, a high level of robustness in the AFR control design has to be considered. Herein, a fuzzy sliding-mode control (FSMC) technique is proposed to track the desired AFR in the presence of periodic disturbances. The proposed method is model free and does not need any system characteristics. Based on the fuzzy system input-output data, two scaling factors are first employed to normalize the sliding surface and its derivative. According to the concept of the if-then rule, an appropriate rule table for the logic system is designed. Finally, the feasibility and effectiveness of the proposed control scheme are evaluated under various operating conditions.

Original languageEnglish
Title of host publicationAerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems
PublisherAmerican Society of Mechanical Engineers
Volume1
ISBN (Electronic)9780791858271
DOIs
Publication statusPublished - 1 Jan 2017
EventASME 2017 Dynamic Systems and Control Conference, DSCC 2017 - Tysons, United States
Duration: 11 Oct 201713 Oct 2017

Other

OtherASME 2017 Dynamic Systems and Control Conference, DSCC 2017
CountryUnited States
CityTysons
Period11/10/1713/10/17

Fingerprint

Internal combustion engines
Air
Sliding mode control
Fuzzy systems
Fuel economy
Fuzzy control
Carbon dioxide
Engines
Derivatives

Keywords

  • Air-Fuel Ratio (AFR)
  • Fuzzy Sliding-Mode Control (FSMC) Technique
  • Spark Ignition (SI)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

Cite this

Wu, H. M., & Tafreshi, R. (2017). Air-fuel ratio control of lean-burn SI engines using fuzzy sliding-mode technique. In Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems (Vol. 1). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2017-5162

Air-fuel ratio control of lean-burn SI engines using fuzzy sliding-mode technique. / Wu, Hsiu Ming; Tafreshi, Reza.

Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems. Vol. 1 American Society of Mechanical Engineers, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wu, HM & Tafreshi, R 2017, Air-fuel ratio control of lean-burn SI engines using fuzzy sliding-mode technique. in Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems. vol. 1, American Society of Mechanical Engineers, ASME 2017 Dynamic Systems and Control Conference, DSCC 2017, Tysons, United States, 11/10/17. https://doi.org/10.1115/DSCC2017-5162
Wu HM, Tafreshi R. Air-fuel ratio control of lean-burn SI engines using fuzzy sliding-mode technique. In Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems. Vol. 1. American Society of Mechanical Engineers. 2017 https://doi.org/10.1115/DSCC2017-5162
Wu, Hsiu Ming ; Tafreshi, Reza. / Air-fuel ratio control of lean-burn SI engines using fuzzy sliding-mode technique. Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems. Vol. 1 American Society of Mechanical Engineers, 2017.
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