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Saint-Étienne-du-Rouvray, France

Ahmed Ali S.,IRSEEM Technopole du Madrillet | Langlois N.,IRSEEM Technopole du Madrillet
2012 2nd Australian Control Conference, AUCC 2012 | Year: 2012

The automotive industry faces actually new challenges, due to a more stringent exhaust emissions legislation. Pressure to lower emissions while maintaining or improving other engine performance parameters required, that the intake air properties be better controlled and matched at every engine operating conditions. In this paper we developed a robust sliding mode controller for the diesel engine air path. The proposed controller incorporates an adaptive switching gain which avoids knowing uncertainties bounds caused by model parametric variations or and external disturbances. Stability analysis of the closed loop scheme have been proved using the Lyapunov theory,. The proposed controller has been tested on the Jankovic Tubocharged Diesel Engine (TDE) model air path.simulations results demonstrates the robustness of the controller facing unmodelled dynamic and actuator fault leakage. © 2012 Institute of Engineers. Source


Ouyessaad H.,IRSEEM Technopole du Madrillet | Chafouk H.,IRSEEM Technopole du Madrillet
International Conference on Integrated Modeling and Analysis in Applied Control and Automation | Year: 2012

The objective of this paper is to detect and isolate the presence of sensor faults in dynamical systems. Unknown input observers are used which is then used to generate residuals based on the DOS observer architecture (Dedicated Observer Scheme). This diagnosis strategy is applied on the double-feed induction generator (DFIG) in wind turbines. The structure of a DOS is used for detection and isolation of multiple sensor faults. The approach is validated using signals obtained from a simulated DFIG system. The main contribution of this paper is the modelling of induction generator for wind turbines and the use unknown input observers to detect multiples and simultaneous faults in current sensors. The simulation model of DFIG is developed using MATLAB. Source


Sofiane A.A.,IRSEEM Technopole du Madrillet | Nicolas L.,IRSEEM Technopole du Madrillet
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2012

The automotive industry faces actually new challenges, due to a more stringent exhaust emissions legislation. Pressure to lower emissions while maintaining or improving other engine performance parameters required, that the intake air properties be better controlled and matched at every engine operating conditions. In this paper we developed a new control strategy for diesel engine air path. This strategy is carried out under the sliding mode framework. The proposed controller has been tested on recently experimental validated Tubocharged Diesel Engine (TDE) model. © 2012 IFAC. Source


Bada N.,IRSEEM Technopole du Madrillet | Ali S.A.,IRSEEM Technopole du Madrillet | Langlois N.,IRSEEM Technopole du Madrillet
3rd International Symposium on Environment Friendly Energies and Applications, EFEA 2014 | Year: 2014

In this paper we present a passive fault tolerant control strategy for the Internal Combustion air path. This strategy is carried out under the concept of Higher Order Sliding Mode Control (HOSMC). The proposed fault tolerant strategy incorporates a Super-Twisting controller which handles parametric uncertainties and actuator failures. In this paper we consider two types of actuator failures, additive and loss-of-effectiveness faults., theoretical results on the convergence of the proposed controller based on the Lyapunov theory are derived. The simulations of the proposed controller on a recently validated experimental air path internal combustion model, show good results for actuator failures conditions even in the presence of uncertainties on model parameters. © 2014 IEEE. Source


Ali S.A.,IRSEEM Technopole du Madrillet | Langlois N.,IRSEEM Technopole du Madrillet | Guermouche M.,IRSEEM Technopole du Madrillet
Proceedings of the American Control Conference | Year: 2015

In this paper, a Sampled Data Disturbance Observer (SDDOB) which estimates simultaneously the unmeasurable states and the uncertainties for the EHA systems is presented. The novelty of our approach is the use of an inter-sample output predictor which allow the users to increase the frequency acquisition of the piston position sensor without affecting the convergence performance. The stability analyses of the proposed observer is proved using Lyapunov function adapted to hybrid systems. To show the efficiency of the SDDOB, numerical simulations of a control application which combines the SDDOB and a PI controller for the purpose of piston position tracking problem is presented. © 2015 American Automatic Control Council. Source

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