Effective Lyapunov level set for nonlinear optimal control. Application to turbocharged diesel engine model

Author(s):  
Olena Kuzmych ◽  
Abdel Aitouche ◽  
Ahmed El Hajjaji ◽  
Achraf Jabeur Telmoudi
1999 ◽  
Vol 32 (2) ◽  
pp. 8160-8165 ◽  
Author(s):  
X. Dovifaaz ◽  
M. Ouladsine ◽  
A. Rachid ◽  
S. Ouenou-Gamo

2016 ◽  
Vol 78 (6-10) ◽  
Author(s):  
Asrul Syaharani Yusof ◽  
Saiddi Ali Firdaus Mohamed Ishak ◽  
Risby Mohd Sohaimi ◽  
Wan Ali Wan Mat

Requirements for sustainable development and green technology are motivating car manufacturers to produce newer efficient engines with more power and reduce hazardous emissions. The development of modern engines has certain constraints since prototyping phase requires longer time and is costly. Engine computational modelling now becomes a useful approach and can be used as a predictive tool when developing new engine concepts. The aim of this work is to develop and experimentally validate a turbocharged diesel engine model using one-dimensional GT-Power software. The engine performance parameters in terms of power and torque which are dependent to engine speed are being presented. The predicted performance parameter of the engine model is compared with the data obtained during engine dynamometer experiments. The simulation results show that the engine performances such as engine power and torque are in good agreement with the experiment results within the engine rpm range from 2000 rpm to 3000 rpm (with RMS Error for engine power and torque is 10% and 39%).


2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Jonas Asprion ◽  
Oscar Chinellato ◽  
Lino Guzzella

The numerical solution of optimal control problems by direct collocation is a widely used approach. Quasi-Newton approximations of the Hessian of the Lagrangian of the resulting nonlinear program are also common practice. We illustrate that the transcribed problem is separable with respect to the primal variables and propose the application of dense quasi-Newton updates to the small diagonal blocks of the Hessian. This approach resolves memory limitations, preserves the correct sparsity pattern, and generates more accurate curvature information. The effectiveness of this improvement when applied to engineering problems is demonstrated. As an example, the fuel-optimal and emission-constrained control of a turbocharged diesel engine is considered. First results indicate a significantly faster convergence of the nonlinear program solver when the method proposed is used instead of the standard quasi-Newton approximation.


Author(s):  
Anup M. Kulkarni ◽  
Gregory M. Shaver ◽  
Sriram S. Popuri ◽  
Tim R. Frazier ◽  
Donald W. Stanton

This paper describes an accurate, flexible, and computationally efficient whole engine model incorporating a multizone, quasidimension combustion submodel for a 6.7-l six-cylinder turbocharged diesel engine with cooled exhaust gas recirculation (EGR), cooled air, and multiple fuel injections. The engine performance and NOx emissions predicative capability of the model is demonstrated at 22 engine operating conditions. The only model inputs are physical engine control module “control actions,” including injection rates, injection timings, EGR valve position, and variable geometry turbocharger rack position. The model is run using both “open” and “closed” loop control strategies for air/EGR path control, in both cases achieving very good correlation with experimental data. Model outputs include in-cylinder pressure and heat release, torque, combustion timing, brake specific fuel consumption, EGR flow rate, air flow rate, exhaust and intake pressure, and NOx emissions. The model predicts engine performance and emissions with average absolute errors within 5% and 18%, respectively, of true values with “open-loop” air/EGR control, and within 5% and 11% with “closed-loop” air/EGR control. In addition, accurate prediction of the coupling of the in-cylinder combustion and emission-production processes with the boosted, cooled air/EGR gas dynamics is a key characteristic of the model.


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