A nonlinear controller of a turbocharged diesel engine using sliding mode

Author(s):  
S. Ouenou-Gamo ◽  
A. Rachid ◽  
M. Ouladsine
2000 ◽  
Author(s):  
Jonas Fredriksson ◽  
Bo Egardt

Abstract This paper concerns the problem of controlling a diesel engine with a variable geometry turbine (VGT). The idea presented is to use the variable geometry of the turbine for controlling the amount of inlet air and the objective is to combine air-to-fuel ratio control with engine speed or engine torque control. The nonlinear controller is designed using so called backstepping. The control strategy seems to have a great potential, since the combustion efficiency can be kept high while reducing the turbo-lag and the emission level. The control algorithms can be extended to handle powertrain control applications. The application studied here is control of driveline oscillations.


2014 ◽  
Vol 24 (4) ◽  
pp. 821-835 ◽  
Author(s):  
Olena Kuzmych ◽  
Abdel Aitouche ◽  
Ahmed El Hajjaji ◽  
Jerome Bosche

Abstract In this paper, we propose a control Lyapunov function based on a nonlinear controller for a turbocharged diesel engine. A model-based approach is used which predicts the experimentally observed engine performance for a biodiesel. The basic idea is to develop an inverse optimal control and to employ a Lyapunov function in order to achieve good performances. The obtained controller gain guarantees the global convergence of the system and regulates the flows for the variable geometry turbocharger as well as exhaust gas recirculation systems in order to minimize the NOx emission and the smoke of a biodiesel engine. Simulation of the control performances based on professional software and experimental results show the effectiveness of this approach.


Author(s):  
Samia Larguech ◽  
Sinda Aloui ◽  
Olivier Pagès ◽  
Ahmed El Hajjaji ◽  
Abdessattar Chaari

In this work, fuzzy second-order sliding mode control (2-SMC) and adaptive sliding mode control (ASMC) are developed for a turbocharged diesel engine (TDE). In control design, the TDE is represented by multi-output multi-input (MIMO) nonlinear model with partially unknown dynamics. To regulate the intake manifold pressure, the exhaust manifold pressure, the compressor flow, and to estimate the unknown functions, a sliding mode control (SMC) combined with fuzzy logic is first developed. Second to reduce the chattering phenomenon without deteriorating the tracking performance, two approaches are investigated. A special case of the 2-SMC: the super-twisting SMC is developed. The results obtained using the ASMC are also presented to compare the performances of both methods. All parameter adaptive laws and robustifying control terms are derived based on Lyapunov stability analysis, so that convergence to zero of tracking errors and boundedness of all signals in the closed-loop system are guaranteed. Simulation results are given to show the efficiency of the proposed approaches.


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