Active fault tolerant scheme for variable speed drives under actuator and sensor faults

Espinoza-Trejo, Diego R.; Campos-Delgado, Daniel U.

doi:10.1109/cca.2008.4629699

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…In general, the PMSM drive can be affected by failures in the battery (short-circuited cell), failures in the power converters (short-circuit or open-circuit of the power switches) [22], failures of the sensors (mechanical or electrical), or failures in the electrical machine [23][24]. To evaluate all this structure, we suppose that in the time range [0.5s -1.5s] and [3s -4s] associated to healthy operation we have a mechanical sensor failure (complete outage) at high speed as shown in figure 6.…”

Section: Fault Tolerant Control Structurementioning

confidence: 99%

Fault Tolerant Control of PMSM Drive Using Luenberger and Adaptive Back-EMF Observers

Medjmadj¹

2019

EJEE

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In this paper, we propose to design a sensorless controller that can cope both with performance and robustness by the hybridization of two controllers. The strategy introduced in this paper includes the sensorless active fault tolerant controller of the PMSM drive at high speed. It is built with the combination of a vector controller, two virtual sensors: Luenberger and adaptive back-EMF observers, and a voting algorithm using Newton-Raphson method. Simulation results are provided to verify effectiveness of the proposed strategy of a 1kW PMSM motor driven by fault tolerant control in case of position sensor outage.

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Section: Fault Tolerant Control Structurementioning

confidence: 99%

Fault Tolerant Control of PMSM Drive Using Luenberger and Adaptive Back-EMF Observers

Medjmadj¹

2019

EJEE

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“…Unlike the above fault diagnosis methods which are not invasive, active fault diagnosis method is an invasive method, which means that a designed signal can be inputted into the system under a test interval to quickly and accurately detect the faults [3]. Some investigations can be found in reference [35] for fault diagnosis of actuator and sensor of a vehicle, in reference [36] about the fault diagnosis of a quadrotor unmanned aerial vehicle, and in reference [37] for fault tolerant control of four-wheel independently driven electric ground vehicles.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

Chen

Tian

Chen

et al. 2018

Sensors

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The anti-lock braking system (ABS) is an essential part in ensuring safe driving in vehicles. The Security of onboard safety systems is very important. In order to monitor the functions of ABS and avoid any malfunction, a model-based methodology with respect to structural analysis is employed in this paper to achieve an efficient fault detection and identification (FDI) system design. The analysis involves five essential steps of SA applied to ABS, which includes critical faults analysis, fault modelling, fault detectability analysis and fault isolability analysis, Minimal Structural Over-determined (MSO) sets selection, and MSO-based residual design. In terms of the four faults in the ABS, they are evaluated to be detectable through performing a structural representation and making the Dulmage-Mendelsohn decomposition with respect to the fault modelling, and then they are proved to be isolable based on the fault isolability matrix via SA. After that, four corresponding residuals are generated directly by a series of suggested equation combinations resulting from four MSO sets. The results generated by numerical simulations show that the proposed FDI system can detect and isolate all the injected faults, which is consistent with the theoretical analysis by SA, and also eventually validated by experimental testing on the vehicle (EcoCAR2) ABS.

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“…To overcome this disadvantage, various active fault-tolerant controllers (AFTC) have been proposed based on the application of a fault detection and isolation (FDI) module [12] [13]. According to the fault severity, different control structures and control parameters are selected after the fault is detected.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant control of electric vehicles with in-wheel motors using actuator-grouping sliding mode controllers

2016

Mechanical Systems and Signal Processing

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Although electric vehicles with in-wheel motors have been regarded as one of the promising vehicle architectures in recent years, the probability of in-wheel motor fault is still a crucial issue due to the system complexity and large number of control actuators. In this study, a modified sliding mode control (SMC) is applied to achieve fault-tolerant control of electric vehicles with four-wheel-independent-steering (4WIS) and four-wheel-independent-driving (4WID). Unlike in traditional SMC, in this approach the steering geometry is re-arranged according to the location of faulty wheels in the modified SMC. Three SMC control laws for longitudinal velocity control, lateral velocity control and yaw rate control are designed based on specific vehicle motion scenarios. In addition the actuator-grouping SMC method is proposed so that driving actuators are grouped and each group of actuators can be used to achieve the specific control target, which avoids the strong coupling effect between each control target. Simulation results prove that the proposed modified SMC can achieve good vehicle dynamics control performance in normal driving and large steering angle turning scenarios. In addition, the proposed actuator-grouping SMC can solve the coupling effect of different control targets and the control performance is improved. Abstract:Although electric vehicles with in-wheel motors have been regarded as one of the promising vehicle architectures in recent years, the probability of in-wheel motor fault is still a crucial issue due to the system complexity and large number of control actuators. In this study, a modified sliding mode control (SMC) is applied to achieve fault-tolerant control of electric vehicles with four-wheel-independent-steering (4WIS) and four-wheel-independent-driving (4WID). Unlike in traditional SMC, in this approach the steering geometry is re-arranged according to the location of faulty wheels in the modified SMC. Three SMC control laws for longitudinal velocity control, lateral velocity control and yaw rate control are designed based on specific vehicle motion scenarios. In addition the actuator-grouping SMC method is proposed so that driving actuators are grouped and each group of actuators can be used to achieve the specific control target, which avoids the strong coupling effect between each control target. Simulation results prove that the proposed modified SMC can achieve good vehicle dynamics control performance in normal driving and large steering angle turning scenarios. In addition, the proposed actuator-grouping SMC can solve the coupling effect of different control targets and the control performance is improved.

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Active fault tolerant scheme for variable speed drives under actuator and sensor faults

Cited by 5 publications

References 22 publications

Fault Tolerant Control of PMSM Drive Using Luenberger and Adaptive Back-EMF Observers

Fault Tolerant Control of PMSM Drive Using Luenberger and Adaptive Back-EMF Observers

Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

Fault-tolerant control of electric vehicles with in-wheel motors using actuator-grouping sliding mode controllers

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