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
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
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보