Model Predictive Fuzzy Control of Air-ratio for Automotive Engines

Automotive engine air-ratio plays an important role of emissions and fuel consumption reduction while maintains satisfactory engine power among all of the engine control variables. In order to effectively control the air-ratio, this paper presents a model predictive fuzzy control algorithm based on online least-squares support vector machines prediction model and fuzzy logic optimizer. The proposed control algorithm was also implemented on a real car for testing and the results are highly satisfactory. Experimental results show that the proposed control algorithm can regulate the engine air-ratio to the stoichiometric value, 1.0, under external disturbance with less than 5% tolerance.

Authors:

• Hang-cheong Wong
• Pak-kin Wong
• Chi-man Vong
• Zhengchao Xie
• Shaojia Huang

Keywords:

• Air-ratio
• Fuzzy logic
• online least-squares support vector machine
• model predictive control.

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