publication . Article . 2017

Control of 12-Cylinder Camless Engine with Neural Networks

Moh’d Sami Ashhab;
Open Access English
  • Published: 01 Jan 2017 Journal: MATEC Web of Conferences (issn: 2261-236X, Copyright policy)
  • Publisher: EDP Sciences
Abstract
The 12-cyliner camless engine breathing process is modeled with artificial neural networks (ANN’s). The inputs to the net are the intake valve lift (IVL) and intake valve closing timing (IVC) whereas the output of the net is the cylinder air charge (CAC). The ANN is trained with data collected from an engine simulation model which is based on thermodynamics principles and calibrated against real engine data. A method for adapting single-output feed-forward neural networks is proposed and applied to the camless engine ANN model. As a consequence the overall 12-cyliner camless engine feedback controller is upgraded and the necessary changes are implemented in orde...
Subjects
free text keywords: Engineering (General). Civil engineering (General), TA1-2040, Engineering, business.industry, business, Artificial neural network, Control theory, Lift (force), Throttle, Pressure measurement, law.invention, law, Torque, Engine efficiency, Mass flow sensor, Control engineering, Inlet manifold
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Article . 2017

Control of 12-Cylinder Camless Engine with Neural Networks

Moh’d Sami Ashhab;