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Nicolas Langlois - One of the best experts on this subject based on the ideXlab platform.

  • Adaptive Super Twisting control design for manufactured diesel engine Air Path
    The International Journal of Advanced Manufacturing Technology, 2017
    Co-Authors: Guermouche Mohamed, Sofiane Ahmed Ali, Nicolas Langlois
    Abstract:

    In this paper, we design a higher order sliding mode controller for the purpose of regulating the diesel engine Air Path. The proposed controller is based upon the Super Twisting control algorithm (STA) which is well known for its ability to reduce the so-called chattering phenomenon which affects the classical sliding mode controllers. The proposed controller is an Adaptive Super Twisting (ASTA) controller which incorporates an adaptive mechanism for tuning the control gains. This mechanism allows the controller to deal with unknown bounds on the uncertainties and the actuator faults that may affect the engine. Theoretical conditions on the control gains are provided in order to ensure the convergence of the ASTA controller. The simulations on a recently validated experimental Air Path diesel engine model show good results for actuator failures conditions even in the presence of uncertainties on model parameters.

  • Fuzzy fault tolerant predictive control for a diesel engine Air Path
    International Journal of Control Automation and Systems, 2016
    Co-Authors: Lamia Ben Hamouda, Mounir Ayadi, Nicolas Langlois
    Abstract:

    This paper proposes a Fuzzy Fault Tolerant Predictive Control (FFTPC) with integral action method for a class of nonlinear systems. The Takagi-Sugeno (T-S) fuzzy approach is introduced as a modelling technique in order to consider the active control methods adapted to linear models. The proposed control strategy is based on a combination between Parallel Distributed Compensation (PDC) control law and Model Predictive Control (MPC) where the T-S fuzzy aspect uses the Unmeasurable Premise Variables (UPV). A T-S fuzzy observer provides an L2 norm estimation of system state vector and faults. The controller and observer gains are obtained by solving Linear Matrix Inequalities (LMIs) derived from the Lyapunov theory. The validity of the proposed Fault Tolerant Control (FTC) strategy is illustrated through an application to a Diesel Engine Air Path (DEAP) system.

  • Takagi-Sugeno fuzzy observer and predictive control for a diesel engine Air Path
    International Journal of Automation and Control, 2015
    Co-Authors: Lamia Ben Hamouda, Mounir Ayadi, Nicolas Langlois
    Abstract:

    This paper focuses on a fuzzy predictive control algorithm (FPCA) for a diesel engine Air Path (DEAP) system subject to a leakage. A Takagi-Sugeno (T-S) fuzzy model describes the behaviour of the healthy nonlinear system. FPCA is designed to accommodate and tolerate the unexpected intake leakages. Model predictive control (MPC) solves an optimisation problem to achieve desired set points and control objectives. T-S observers provide an L2 norm estimation of system state vector and leakages. Observers' gains are obtained by solving a linear matrix inequalities (LMIs) derived from the Lyapunov theory. The validity of the proposed fault tolerant control (FTC) strategy is illustrated through an application to a DEAP system.

  • Fault-tolerant control based Super-Twisting algorithm for the diesel engine Air Path subject to loss-of-effectiveness and additive actuator faults
    Applied Mathematical Modelling, 2015
    Co-Authors: Sofiane Ahmed Ali, Mohamed Guermouche, Nicolas Langlois
    Abstract:

    In this paper, a passive fault tolerant control strategy carried out under the concept of higher order sliding mode control is developed for the diesel engine Air Path. The proposed fault tolerant strategy incorporates a Super-Twisting algorithm controller which handles parametric uncertainties and actuator faults. In this paper we consider two types of actuator faults, additive and loss-of-effectiveness faults. Theoretical results on the convergence of the proposed controller based on the Lyapunov theory are presented. The simulations of the proposed controller on a recently validated experimental Air Path diesel engine model show good results under actuator faults conditions even in the presence of parametric uncertainties.

  • Fault tolerant control design for an internal combustion engine Air Path using adaptive integral sliding mode framework
    2014
    Co-Authors: Mohamed Guermouche, Sofiane Ahmed Ali, Nicolas Langlois
    Abstract:

    In this work, an adaptive integral sliding mode control (AISMC) is proposed for the purpose of regulating the ICE Air Path. The main contribution of this paper is the combination of the traditional SMC with an adaptive gain mechanism coupled with an integral action in the definition of the sliding surface. The simulation results show the ability of the proposed controller to achieve fault tolerant performance against parametric uncertainties and actuator faults.

Guillaume Colin - One of the best experts on this subject based on the ideXlab platform.

  • Nonlinear model predictive control of the Air Path of a turbocharged gasoline engine using Laguerre functions
    2013 17th International Conference on System Theory Control and Computing (ICSTCC), 2013
    Co-Authors: Jamil El Hadef, Guillaume Colin, Yann Chamaillard, Sorin Olaru, Pedro Rodriguez-ayerbe, Vincent Talon
    Abstract:

    Objectives in terms of pollutant emissions and fuel consumption reduction have led car manufacturers to enhance the technical definitions of combustion engines. The latter should now be considered as multiple-input multiple-output nonlinear systems with saturated actuators. This considerably increases the challenge regarding the development of optimal control laws under the constraints of constant cost reductions in the automotive industry. In the present paper, the use of a nonlinear model predictive control (NMPC) scheme is studied for the Air Path control of a turbocharged gasoline engine. Specifically, a zero dimension physics-based model is combined with parameterization of the future control trajectory. The use of Laguerre polynomials is shown to increase flexibility for the future control trajectory at no cost in computational requirements. This increase in flexibility leads to an improvement of the transient response of the closed-loop with respect to traditional approaches. This practical application shows that this approach makes it easier to fine-tune the NMPC scheme when dealing with engine Air Path control.

  • A Robust Methodology to Control the Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds.

  • A Robust Methodology to Control the Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds.

  • Sequential Robust Control of the MIMO Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds

  • Sequential Robust Control of the MIMO Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds

Yann Chamaillard - One of the best experts on this subject based on the ideXlab platform.

  • Nonlinear model predictive control of the Air Path of a turbocharged gasoline engine using Laguerre functions
    2013 17th International Conference on System Theory Control and Computing (ICSTCC), 2013
    Co-Authors: Jamil El Hadef, Guillaume Colin, Yann Chamaillard, Sorin Olaru, Pedro Rodriguez-ayerbe, Vincent Talon
    Abstract:

    Objectives in terms of pollutant emissions and fuel consumption reduction have led car manufacturers to enhance the technical definitions of combustion engines. The latter should now be considered as multiple-input multiple-output nonlinear systems with saturated actuators. This considerably increases the challenge regarding the development of optimal control laws under the constraints of constant cost reductions in the automotive industry. In the present paper, the use of a nonlinear model predictive control (NMPC) scheme is studied for the Air Path control of a turbocharged gasoline engine. Specifically, a zero dimension physics-based model is combined with parameterization of the future control trajectory. The use of Laguerre polynomials is shown to increase flexibility for the future control trajectory at no cost in computational requirements. This increase in flexibility leads to an improvement of the transient response of the closed-loop with respect to traditional approaches. This practical application shows that this approach makes it easier to fine-tune the NMPC scheme when dealing with engine Air Path control.

  • A Robust Methodology to Control the Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds.

  • A Robust Methodology to Control the Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds.

  • Sequential Robust Control of the MIMO Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds

  • Sequential Robust Control of the MIMO Air Path of a Diesel Engine
    2012
    Co-Authors: Chao Deng, Guillaume Colin, Yann Chamaillard, Dominique Nelson Gruel
    Abstract:

    This paper presents a methodology of robust control applied on a nonlinear MIMO system, on the Air Path of a turbocharged diesel engine. The methodology consists in first analyzing the MIMO system to observe dynamic properties with several tools, i.e. condition number, relative gain array and Gershgorin bands, before designing the controller. Hence, a sequential robust controller synthesis is proposed to obtain a decentralized control taking into account coupling and uncertainties of the nonlinear system. The results obtained from a Mean Value Engine Model (MVEM) engine simulation model show the real time applicability of the proposed method and the good control performances (good response time, no steady state error) for various engine speeds

Junmin Wang - One of the best experts on this subject based on the ideXlab platform.

  • ACC - Control of dual-loop EGR engine Air-Path systems with adjustable intake manifold condition priorities
    2014 American Control Conference, 2014
    Co-Authors: Xiangrui Zeng, Junmin Wang
    Abstract:

    Dual-loop EGR (exhaust gas recirculation) systems can provide the authorities of controlling the engine intake manifold gas conditions for steady-state and transient operations of advanced combustion modes. Due to the inherent transport delay of an Air-Path system, the response of the intake manifold oxygen concentration is usually slower than those of the pressure and temperature under conventional control methods. This paper presents a control methodology for dual-loop EGR engine Air-Path with adjustable intake manifold gas condition priorities, which means that any of the three intake manifold indices can be set with the highest control priority to obtain fast response during transient operations. The reference governor technique and a feedforward control are combined to achieve such a control objective. An acceptable control input set is obtained and the optimal input is chosen from this set according to the priority order. Simulations are conducted on a GT-Power engine model and the results show that the proposed control methodology is valid.

  • A Dual-Loop EGR Engine Air-Path Oxygen Concentration Model With Time-Varying Transport Delays
    Volume 1: Aerial Vehicles; Aerospace Control; Alternative Energy; Automotive Control Systems; Battery Systems; Beams and Flexible Structures; Biologic, 2013
    Co-Authors: Xiangrui Zeng, Junmin Wang
    Abstract:

    Dual-loop exhaust gas recirculation (EGR) systems can provide control authorities for adjusting the engine in-cylinder gas conditions. However, the transport delay in the EGR Air-Path makes some simple oxygen concentration dynamic models perform poorly under the transient operating conditions. In this paper, a dual-loop EGR Air-Path oxygen concentration model considering the time-varying transport delays is developed and a method to calculate the delay time based on the continuity of gas velocity is presented. Simulation validations using a high-fidelity GT-Power 1-D computational engine model show that the developed model can capture the oxygen concentration dynamics during both steady-state and transient operations.Copyright © 2013 by ASME

  • Control of diesel engine dual-loop EGR Air-Path systems by a singular perturbation method
    Control Engineering Practice, 2013
    Co-Authors: Fengjun Yan, Junmin Wang
    Abstract:

    Abstract This paper presents a singular perturbation based method for controlling the dual-loop exhaust gas recirculation (DL-EGR) Air-Path systems on advanced diesel engines. A DL-EGR Air-Path system, consisting of a high-pressure loop EGR (HPL-EGR) and a low-pressure loop EGR (LPL-EGR), has significantly different time-scales (fast and slow) due to the inherent difference in the HPL-EGR’s and LPL-EGR’s corresponding control volumes. Such a feature of the DL-EGR systems makes the cooperative control of intake manifold gas conditions challenging. By considering the DL-EGR Air-Path system as a singularly perturbed system, a composite control law was devised to achieve systematic control of the Air-Path conditions including gas pressure, temperature, and oxygen fraction in the intake manifold. The effectiveness of the control method is experimentally evaluated on a medium-duty diesel engine.

  • Control of dual loop EGR Air-Path systems for advanced combustion diesel engines by a singular perturbation methodology
    Proceedings of the 2011 American Control Conference, 2011
    Co-Authors: Fengjun Yan, Junmin Wang
    Abstract:

    This paper presents a method to control dual loop EGR Air-Path systems for Diesel engines running advanced combustion modes. Considering the different time scales (fast and slow) dynamics of high pressure loop EGR (HPL-EGR) and low pressure loop EGR (LPL-EGR), a decomposition control method for a singularly perturbed system was utilized to achieve systematic Air-Path control, including the control of temperature, pressure, and oxygen fraction in intake manifold. Variable geometry turbocharger (VGT) was used to control the pressure before a high-pressure throttle (HP-Throttle) valve to accommodate the constraints of other actuators, such as dual-loop EGR and HP-Throttle. Effectiveness of such a control methodology was shown by simulation results based on a high-fidelity GT-Power Diesel engine model.

  • Optimal Control of Complex Air-Path Systems for Advanced Diesel Engines
    ASME 2009 Dynamic Systems and Control Conference Volume 2, 2009
    Co-Authors: Fengjun Yan, Benjamin Haber, Junmin Wang
    Abstract:

    This paper describes a linear optimal control approach for advanced diesel engines equipped with complex Air-Path systems including a dual-loop exhaust gas recirculation (EGR) and a two-stage turbocharger. Such complex Air-Path systems are instrumental to achieve smooth and stable transient operation of diesel engines running advanced multiple combustion modes such as low temperature diffusion combustion (LTDC) and homogeneous charge compression ignition (HCCI). A mean-value engine model was developed to capture the main dynamics of the advanced Air-Path system. A linear quadratic regulator (LQR) optimal controller was designed based on a linearized model at a fixed operating point. Simulation results using a high-fidelity detailed GT-Power engine model show the effectiveness of the controller.© 2009 ASME

Long Liu - One of the best experts on this subject based on the ideXlab platform.

  • Fault-tolerant control for turbocharged diesel engine Air Path via disturbance observer
    International Journal of Systems Science, 2020
    Co-Authors: Jian Zhang, Zhao Hao, Zhiguang Feng, Long Liu
    Abstract:

    This paper investigates fault-tolerant control algorithm for diesel engine Air Path system with consideration of system parametric uncertainties, external disturbances and actuator faults. Initiall...

  • Finite-Time Fault-Tolerant Control for Diesel Engine Air Path via Extended State Observer
    IEEE Access, 2019
    Co-Authors: Jian Zhang, Long Liu
    Abstract:

    This paper investigates a finite-time observer-based fault-tolerant control scheme for the diesel engine Air Path, which suffers from loss-of-effectiveness and addictive actuator faults. Initially, an auxiliary system including synchronized perturbation caused by the actuator faults is considered, and a coordinated transformation is introduced to facilitate the observer design. Then, an extended state observer is developed based on the system after transformation. With the proposed observer, the actuator fault effects are reconstructed, and the fast finite-time stability of the observation error dynamics is proved theoretically. Moreover, on the basis of the observation states and a super-twisting algorithm, a fault-tolerant control law is further designed to the guarantee that state tracking errors converge to the equilibrium in finite time. In addition, rigorous analysis of the closed-loop system is addressed by utilizing a Lyapunov stability theory. Finally, the numerical simulation results and comparison are presented to illustrate the effectiveness and reliable performance of the Air Path control system.