Environmental issues and respect for the European Unions objectives for green house emissions reduction, has required an improved in the sophistication of control strategies. This article focuses on the control of the air path diesel engine. Most studies consider the following control setup: intake pressure and intake air flow are controlled using EGR and VGT valves. A simple control strategy based on a nonlinear control Lyapunov function is proposed. LMI terms have been developed. The goal is to achieve the reference tracking of desired values of intake and exhaust pressures. First at all, a description of the airpath system is given, then, the mean value model of the diesel engine is presented and converted into a Takagi-Sugenomodel. The model was validated with the AMEsim software. Finally, to ensure the performance of the proposed approach, simulation results are presented.

 This paper discusses a localization technique for hybrid systems.We present the effectiveness of this model-based localization approach with an example of three-cell converter and it's eight operation modes. Based on obtained hybrid bond graph model (HBG), we analyze the signal signature for each configuration of the hybrid system. The innovative interest of the present paper is the use only one representation (Bond Graph) for modeling and systematic generation of fault indicators based on structural and causal properties of used modeling tool. The transition between modes is achieved by control junctions, which can be activated (on) or desactivated (off). Furthermore, we substitute a new model, called diagnostic hybrid bond graph model, where the known variables (i.e., parameters, measurements, sources) are the input of the system and the residuals are the output. Due to the reduced numbers of the measured devices we have no enough information forthe system and we need to define localization procedure for the system. In the second part of this paper we propose signal signature study (SSS) applied for the three-cell converter.

 This document provides a method for on-board monitoring and on-ground diagnostics of a hydromechanical actuation loop such as those found in aircraft engines. First, a complete system analysis is performed to understand its behaviour and determine the main degradation modes. Then, system health indicators are defined and a method for their real time on-board extraction is addressed. Diagnostics is performed on-ground through classification of degradation signatures. To parameterize on-ground treatment, both a reference healthy state of indicators and degradations signatures are needed. The healthy distribution of indicators is obtained from data and a physics-based model is used to simulate degradations, quantify indicators sensibility and construct the signatures database. At last, algorithms are deployed and a statistical validation of the performances is conducted.

 Intake leakage estimation problem in diesel engines is addressed in this paper. The need to guarantee high performance engine behavior and in particular to respect the environmentally-based legislative regulations motivates this work. Today, diesel engines monitoring has become an obligation and a necessity. In this paper, based on a Takagi-Sugeno (TS) fuzzy model of the engine, a nonlinear unknown input observer (NUIO) is used to estimate the intake leakage mass flow rate. The advantage of the proposed method is that no a priori assumption on the intake leakage size is required. The diagnosis system is successfully evaluated using an advanced diesel engine professional simulator AMEsim(LMS).

 In this paper, hybrid observers based approach for faults detection and isolation, for a class of MIMO hybrid systems, is proposed. The faults herein considered can affect the sensors or the discrete trajectory of the considered system. The proposed approach is based on a Dedicated Switched Robust Observer Scheme (DSROS) using three blocks in interaction. A block generating the mode signatures, a one for the fault signature generation and the last for the diagnosis of observed discrete events. Some LMIs conditions are provided to guarantee both of the robustness and the convergence of the proposed observers. Finally some simulation results illustrate the efficiency of the proposed approach.

 This paper focuses on the control of diesel HCCI engine air path. We propose a control strategy based on Recursive Model Free Controller (RMFC). This kind of controller is simple to design and it needs only the outputs of the system. On other hand, in order to estimate the state variables, an observer is used and its convergence is performed by using Lyapunov asymptotic stability and is formulated in the format of Linear Matrix Inequalities (LMI) to obtain observer gains. The proposed approach while possessing a simple structure proves a good performance in term of static state error with an accepted setting time. The proposed strategy has been successfully evaluated using a professional advanced diesel engine simulator AMEsim(LMS) platform in co-simulation with SIMULINK.