Earticle

초록

영어

This paper presents a model predictive control (MPC) based on a neural network (NN) model for air/fuel ration (AFR) control of automotive engines. The novelty of the paper is that the severe nonlinearity of the engine dynamics are modelled by a NN to a high precision, and adaptation of the NN model can cope with system uncertainty and time varying effects. A single dimensional optimization algorithm is used in the paper to speed up the optimization so that it can be implemented to the engine fast dynamics. Simulations on a widely used mean value engine model (MVEM) demonstrate effectiveness of the developed method.

목차

Abstract
 I. Introduction
 II. Engine Dynamics
 III. Adaptive neural network model
  A. Data Collection
  B. Engine Modelling
 IV. mpc of air fuel ratio
  A. Control System Structure
  B. Single-Dimensional Optimization Approach
 V. conclusions
 참고문헌

저자

• Qichen Gu [ Xi'an Jiaotong Liverpool University ] 교신저자
• Yujia Zhai [ Xi'an Jiaotong Liverpool University ]

참고문헌