Robust Monitoring of an Electric Vehicle With Structured and Unstructured Uncertainties

Djeziri, Mohand; Merzouki, Rochdi; Bouamama, Belkacem Ould

doi:10.1109/tvt.2009.2026281

Cited by 42 publications

(26 citation statements)

References 11 publications

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“…After the geometric transformation given in (4) and (3), to obtain the linear velocities on the center of gravity of the system, an inverted KM is used, allowing the generation of the desired angular velocities for each wheel of the vehicle. Three inverted KMs are deduced, which correspond to three configurations (4×4, FWD, and RWD) and are given by (5)- (7), respectively.…”

Section: Trajectory Planningmentioning

confidence: 99%

“…The generation of the robust analytical redundancy relations (ARRs) from a proper and observable bond graph model is summarized in the following steps [4].…”

Section: Actuators' Fault Diagnosismentioning

confidence: 99%

“…Furthermore, structural properties (e.g., observability and monitorability) of a bond graph can help in 0018-9545/$31.00 © 2012 IEEE generating fault indicators and fault detection algorithms [15]. In [2] and [3], a bond-graph-model-based for robust fault diagnosis is developed, after considering the residuals' sensitivity analysis, and applied to the robuCAR in [4]. The FDI approach based on parity space is developed in [7] and was applied to an electric vehicle (robuCAR) [11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault Diagnosis and Fault-Tolerant Control of an Electric Vehicle Overactuated

Djeziri

Merzouki

Bouamama

et al. 2013

IEEE Trans. Veh. Technol.

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This paper deals with an embedded fault detection and isolation (FDI)-fault-tolerant control approach applied to an overactuated electric vehicle. This method is described in the following three major steps: 1) trajectory planning based on the inverse kinematic modeling of the vehicle; 2) model-based fault diagnosis of the traction system; and 3) vehicle control reconfiguration in faulty situations. Autonomous vehicles, as studied in this paper, are very suited to accomplish missions in confined space or in hostile environments (in radioactive environments and spatial programs), where the success of the mission is more important than the cost of the additional actuators. The proposed FDI approach provides an early detection of the faults, allowing safe reconfiguration of the system control. Cosimulation results using experimental data show the performances and advantages of the presented approach.

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Section: Trajectory Planningmentioning

confidence: 99%

“…The generation of the robust analytical redundancy relations (ARRs) from a proper and observable bond graph model is summarized in the following steps [4].…”

Section: Actuators' Fault Diagnosismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault Diagnosis and Fault-Tolerant Control of an Electric Vehicle Overactuated

Djeziri

Merzouki

Bouamama

et al. 2013

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…In [23] the translational and rotational dynamics are grouped and modeled together by mean of the MBG reducing significantly these models but the electromechanical interaction was neither modeled nor analyzed. To include this interaction, BG-based models of EVs and HEVs were presented in [24]. They include a BG model of the electric motor but the mechanical behavior is reduced to longitudinal dynamics only.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Electric Vehicles Combining Structural and Functional Approaches

Silva¹,

Magallán²,

Barrera³

et al. 2014

Journal of Electrical Engineering and Technology

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-In this paper the construction of a model that represents the behavior of an Electric Vehicle is described. Both the mechanical and the electric traction systems are represented using Multi-Bond Graph structural approach suited to model large scale physical systems. Then the model of the controllers, represented with a functional approach, is included giving rise to an integrated model which exploits the advantages of both approaches. Simulation and experimental results are aimed to illustrate the electromechanical interaction and to validate the proposal.

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“…Indeed, computers have become more powerful and less expensive. Thus, several simulators of various architectures were built with an aim of either human factors study [4] [5] [6] [7], or to test new car prototypes and functionalities [8] [9] [10] [11], or for driver training and education.…”

Section: Introductionmentioning

confidence: 99%

From Design to Experiments of a 2-DOF Vehicle Driving Simulator

Arioui

Hima²,

Nehaoua

et al. 2011

IEEE Trans. Veh. Technol.

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Abstract-Driving simulators are more and more used for driver evaluation and/or education. In this paper, we describe the design and the modeling aspects of a 2 DOF low cost motion platform allowing the rendering of the longitudinal and yaw movements. This prototype will be used to study various configurations of motion rendering and the impact of these variants on controllability and on simulator sickness.The whole motion platform is considered as two coupled systems that are linked mechanically. The first system consists of a motorized rail for the longitudinal movement which is mounted on top of the second system, a motorized turret allowing to rotate the platform.We present the platform mechanics and a number of experimental studies that have been carried out to obtain a characterization of the platform capabilities and frequency responses as well as to assess platform performance in a classical drive operation. First conclusions and directions of future work are presented.

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Robust Monitoring of an Electric Vehicle With Structured and Unstructured Uncertainties

Cited by 42 publications

References 11 publications

Fault Diagnosis and Fault-Tolerant Control of an Electric Vehicle Overactuated

Fault Diagnosis and Fault-Tolerant Control of an Electric Vehicle Overactuated

Simulation of Electric Vehicles Combining Structural and Functional Approaches

From Design to Experiments of a 2-DOF Vehicle Driving Simulator

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