Sensorless Fault-Tolerant Control of an Induction Motor Based Electric Vehicle

Roubache, Toufik; Chaouch, Souad; Said, M. S. Nait

doi:10.5370/jeet.2016.11.5.1423

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…An EKF will be used for the reconstruction of the faults of the induction motor model using current measurements. Since EKF is a stochastic filter, the discrete nonlinear stochastic model of the induction motor must be used and can describe by [23]:…”

Section: The Extended Kalman Filtermentioning

confidence: 99%

Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives

Roubache¹,

Chaouch²,

Naït-Saïd³

2018

AMA_C

Self Cite

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In this paper, a robust active fault tolerant control (AFTC) scheme is proposed for induction motor drives (IMD) via input-output linearization control (IOLC) and nonlinear observer. In order to estimate the states and to reconstruct the faults, two different observers are used; a Luenberger observer (LO) and an extended kalman filter (EKF). Further we introduce feedback linearization strategy by choosing the output function as the rotor speed and flux square. To provide a direct comparison between these FTCs schemes, the performance is evaluated using the control of IMD under failures, variable speed, and variable parameters, finally the obtained results show that the proposed controller with the proposed observers provides a good trajectory tracking, and these schemes are robust with respect to faults, parameter variations, and external load disturbances for induction motor drive system.

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Section: The Extended Kalman Filtermentioning

confidence: 99%

Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives

Roubache¹,

Chaouch²,

Naït-Saïd³

2018

AMA_C

Self Cite

View full text Add to dashboard Cite

show abstract

“…The efficiency of the electric motors is in the middle of the efficiency chain of the EV powertrains. Diverse research continues to find solutions for better performance [10][11][12][13][14][15][16][17][18][19]. In the actual analysis, the method presented in [20] is detailed in a new specific case of efficiency maps constitution, continuing the experience in previous research [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Analysis for an Ev Powertrain Using Three BLDC Identical Motors

POPESCU,

CRAIU

2023

RRST-EE

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Using more than one motor in an EV (Electric Vehicle) powertrain enhances the vehicle’s torque, acceleration, and speed capabilities. A more tractive force produced by the electric powertrain requires more electric current from the battery. In modern EVs, mechanical power production can be approached to the wheels reducing the mechanical losses in the transmissions. It is the case with multiple-motor powertrains. Several advantages regarding vehicle control, physical performance, and energy efficiency improvement are obtained. In the current study, a BLDC (brushless dc) motor is investigated from the efficiency point of view to build a multiple-motor powertrain. A new methodology uses analytic calculations, simulations, and physical measurements. A powertrain with three identical motors results in a new vehicle configuration. Each motor's energy consumption improvements are analyzed following a normalized testing procedure. The results are compared with those of a single-motor powertrain.

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“…A robust H-infinity output feedback controller was developed to address the problem of active suspension control with actuator faults and time delays [24]. A Kalman filter and a sliding mode observer were used for actuator fault-tolerant control through the reconstruction of the control law [25][26][27]. A fault-tolerant torque controller based on sliding mode control in [28][29] and an adaptive sliding mode fault-tolerant coordination control in [30] was presented to address multi motor coordinate operation against actuator faults in a 4WID system.…”

Section: Introductionmentioning

confidence: 99%

MAS-Based Slip Ratio Fault-Tolerant Control in Finite Time for EV

et al. 2021

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The driving torques of all four wheels of distributed drive electric vehicles are independently controllable, and acceleration slip regulation (ASR) can be realized through the coordinated effort of torque actuators. Considering the multiple actuator coupling, nonlinearity, uncertainty and actuator faults in an ASR system, an adaptive nonsingular terminal sliding mode (NTSM) fault-tolerant control method-based multi-agent system (MAS) is proposed to address the above problems of an ASR system in this paper. First, based on multi-agent theory, a four-wheel independent drive ASR system is decomposed into four separate driving wheel agent systems to reduce the model dimension and transform the design of the ASR system controller into the design of a single driving wheel agent controller to reduce the computational complexity. Second, to address the unknown uncertainty of an actuator fault in an ASR system, an adaptive NTSM controller for a single driving wheel agent is designed to make the actual slip ratio track the ideal slip ratio for the ASR system in finite time. The controller switch item gains are selected by using an adaptive estimation mechanism for a single driving wheel agent controller to address the gain overestimation problem. This approach ensures that the actual control signal is smooth and that chattering phenomena and energy consumption are reduced. For actuator faults, a Lyapunov function based on multiagent theory is designed for a single driving wheel agent to avoid the impact of the coupling subsystem fault. Third, the Simulink and CarSim cosimulation results show that the proposed method improves the fault tolerance and robustness. The system can realize the actual slip ratio, track the optimal slip ratio in a finite time under different road adhesion conditions and effectively avoid the wheel slippage problem.

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Sensorless Fault-Tolerant Control of an Induction Motor Based Electric Vehicle

Cited by 7 publications

References 19 publications

Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives

Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives

Energy Consumption Analysis for an Ev Powertrain Using Three BLDC Identical Motors

MAS-Based Slip Ratio Fault-Tolerant Control in Finite Time for EV

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