CMAC Neural Network for Fuel-Injection Control

A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. In contrast to conventional fuel-injection controllers, which rely heavily on laborio...

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Bibliographic Details
Main Authors: Shiraishi, Hitoshi, Ipri, Susan L., Cho, Dan
Format: Conference Proceeding
Language:English
Subjects:
Aerodynamics
Aerospace engineering
Automotive engineering
Calibration
Control systems
Engines
Manifolds
Neural networks
Vehicle dynamics
Vehicles
Online Access:Request full text
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Description
Summary:A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. In contrast to conventional fuel-injection controllers, which rely heavily on laborious calibration and tuning processes the CMAC controller requires minimal knowledge of the dynamic system and possesses the ability so achieve a desired performance through rapid on-line learning. This real-time CMAC controller is experimentally evaluated on a research vehicle in a configuration fully compatible with production controllers. The results show the highly promising potential of the new controller.
DOI:10.23919/ACC.1993.4793182