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LI Guo-xiu, ZHANG Xin. Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(1): 100-103.
Citation: LI Guo-xiu, ZHANG Xin. Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(1): 100-103.
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Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks

  • School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China

Funds:theNationalNaturalScienceFoundation(50406003)
  • Received Date:2004-08-31
    Abstract
  • The fuzzy neural networks has been used as means of precisely controlling the air-fuel ratio of a lean-burn compressed natural gas(CNG) engine. A control algorithm, without based on engine model, has been(utilized) to construct a feedforward/feedback control scheme to regulate the air-fuel ratio. Using fuzzy neural networks, a fuzzy neural hybrid controller is obtained based on PI controller. The new controller, which can adjust parameters online, has been tested in transient air-fuel ratio control of a CNG engine.
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    • References (12)
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