Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural modelling and control of a Diesel engine with pollution constraints
Journal of Intelligent and Robotic Systems
Computational Intelligence in Automotive Applications (Studies in Computational Intelligence) (Studies in Computational Intelligence) (Studies in Computational Intelligence)
| Hi-index | 0.00 |
Rapid growth in production of automobiles has increased emissions. Automotive control engineers use innovative control techniques to meet the upcoming emission standards. This paper proposes a novel method of employing artificial neural network ANN based predictive controller design. The controller predicts the injection duration based on the inputs from various sensors. The results are then evaluated over a simulated engine model developed in AMESim Advanced Modelling Environment for Simulation, which ensures a green design process with almost negligible carbon foot print. The results obtained are encouraging and promotes the use of neural predictive control. Implementation of the controller will lead to emission reduction.