Sensorless Fuzzy Direct Torque Control for High Performance Electric Vehicle with Four In-Wheel Motors

Sekour, M.; Hartani, Kada; Draou, A.; Allali, Ahmed

doi:10.5370/jeet.2013.8.3.530

Cited by 36 publications

(27 citation statements)

References 16 publications

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“…Structurally, PMSMs can be divided into two major categories: i) surface-mounted PMSMs (SPMSMs) and ii) interior PMSMs (IPMSMs). Due to their geometrical differences, IPMSMs have the following advantageous characteristics when compared to SPMSMs: higher speed operation and higher torque production [1], [2]. The former advantage results from a more robust rotor structure with magnets buried in the rotor core, while the latter one uses the reluctance torque as well as the electromagnetic torque.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

Jung¹,

Dang²,

Vu³

et al. 2015

Journal of Power Electronics

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This paper presents a nonlinear sliding mode control (SMC) scheme with a variable damping ratio for interior permanent magnet synchronous motors (IPMSMs). First, a nonlinear sliding surface whose parameters change continuously with time is designed. Actually, the proposed SMC has the ability to reduce the settling time without an overshoot by giving a low damping ratio at the initial time and a high damping ratio as the output reaches the desired setpoint. At the same time, it enables a fast convergence in finite time and eliminates the singularity problem with the upper bound of an uncertain term, which cannot be measured in practice, by using a simple adaptation law. To improve the efficiency of a system in the constant torque region, the control system incorporates the maximum torque per ampere (MTPA) algorithm. The stability of the nonlinear sliding surface is guaranteed by Lyapunov stability theory. Moreover, a simple sliding mode observer is used to estimate the load torque and system uncertainties. The effectiveness of the proposed nonlinear SMC scheme is verified using comparative experimental results of the linear SMC scheme when the speed reference and load torque change under system uncertainties. From these experimental results, the proposed nonlinear SMC method reveals a faster transient response, smaller steady-state speed error, and less sensitivity to system uncertainties than the linear SMC method.

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Section: Introductionmentioning

confidence: 99%

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

Jung¹,

Dang²,

Vu³

et al. 2015

Journal of Power Electronics

View full text Add to dashboard Cite

show abstract

“…2, which can be found by applying the fundamental principles of dynamics at the centre of gravity (CG). The vehicle dynamics are described by the longitudinal velocity, lateral vehicle and yaw rate as follows [11][12][13] …”

Section: Structure Of the Proposed Electric Vehiclementioning

confidence: 99%

“…In this paper, the widely adopted Magic Formula [13][14][15] is applied to describe the relationship between slip and traction force and to build a vehicle model for the simulations that follows, as shown in Eq. …”

Section: Structure Of the Proposed Electric Vehiclementioning

confidence: 99%

A New Multimachine Robust Based Anti-skid Control System for High Performance Electric Vehicle

Hartani¹,

Draou²

2014

Journal of Electrical Engineering and Technology

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-This paper presents a high performance sensor less control four motorized wheels for electric vehicle. Firstly, we applied a sensor less master-slave DTC based control to both the two in wheel motors by using sliding mode observer for its quick response and its high reliability in electric vehicle application. Secondly, to overcome the possible loss of adherence of one of the four wheels which is likely to destabilize the vehicle a solution is proposed in this paper. Thirdly, a Fuzzy logic anti-skid control structure well adapted to the non-linear system is used to overcome the main problem of power train system in the wheel road adhesion characteristic. Various Simulation results have been include in this paper to show that the proposed control strategy can prevent vehicle sliding and show good vehicle stability on a curved path.

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“…In [15] it is used Matlab/Simulink to construct dynamic models which is a flexible simulation tool where the user can define and program each component of the vehicle.…”

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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Sensorless Fuzzy Direct Torque Control for High Performance Electric Vehicle with Four In-Wheel Motors

Cited by 36 publications

References 16 publications

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

A New Multimachine Robust Based Anti-skid Control System for High Performance Electric Vehicle

Simulation of Electric Vehicles Combining Structural and Functional Approaches

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