Fault Detection and Isolation via the Interacting Multiple Model Approach Applied to Drive-By-Wire Vehicles

Judalet, Vincent; Glaser, Sébastien; Gruyer, Dominique; Mammar, Saïd

doi:10.3390/s18072332

Cited by 15 publications

(3 citation statements)

References 32 publications

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“…where U is a Haar unitary matrix, A u A T u = AA T . According to equation (4), LESs of A u is given by the following formula:…”

Section: ) Fault Detectionmentioning

confidence: 99%

Fault Detection Method for Suspension Systems of Maglev Train Based on Optimized Random Matrix Theory

Zhou

et al. 2020

IEEE Access

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The fault detection of the suspension system in a maglev train is of great importance for its operational safety and reliability. However, in random matrix theory (RMT), the size of the random matrix direct impacts the result of the mean spectral radius (MSR). In this paper, a state-of-the-art fault detection method for suspension systems is proposed using optimized RMT. The random matrix with the largest number of eigenvalues is obtained by reshaping the original data, with the help of the auto-correlation length from the correlation analysis. Finally, the optimized MSR is applied to detect the fault. The results of the experiment illustrate that the proposed method is applicable and effective. INDEX TERMS Fault detection; auto-correlation length; random matrix theory; mean spectral radius; suspension system.

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“…where U is a Haar unitary matrix, A u A T u = AA T . According to equation (4), LESs of A u is given by the following formula:…”

Section: ) Fault Detectionmentioning

confidence: 99%

Fault Detection Method for Suspension Systems of Maglev Train Based on Optimized Random Matrix Theory

Zhou

et al. 2020

IEEE Access

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“…[6]. In [7], the authors proposed an interacting multiple model approach based on an observer for highly non-linear vehicle dynamics. Through experimental vehicle signals, the algorithm has shown a rapid and robust identification of the faults from the sensor and actuator.…”

Section: Introductionmentioning

confidence: 99%

Mechatronics and Remote Driving Control of the Drive-by-Wire for a Go Kart

Lin

Wang

2020

Sensors

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This research mainly aims at the construction of the novel acceleration pedal, the brake pedal and the steering system by mechanical designs and mechatronics technologies, an approach of which is rarely seen in Taiwan. Three highlights can be addressed: 1. The original steering parts were removed with the fault tolerance design being implemented so that the basic steering function can still remain in case of the function failure of the control system. 2. A larger steering angle of the front wheels in response to a specific rotated angle of the steering wheel is devised when cornering or parking at low speed in interest of drivability, while a smaller one is designed at high speed in favor of driving stability. 3. The operating patterns of the throttle, brake, and steering wheel can be customized in accordance with various driving environments and drivers’ requirements using the self-developed software. The implementation of a steer-by-wire system in the remote driving control for a go kart is described in this study. The mechatronic system is designed in order to support the conversion from human driving to autonomous driving for the go kart in the future. The go kart, using machine vision, is wirelessly controlled in the WiFi frequency bands. The steer-by-wire system was initially modeled as a standalone system for one wheel and subsequently developed into its complete form, including front wheel steering components, acceleration components, brake components, a microcontroller, drive circuit and digital to analog converter. The control output section delivers the commands to the subsystem controllers, relays and converters. The remote driving control of the go kart is activated when proper commands are sent by the vehicle control unit (VCU). All simulation and experiment results demonstrated that the control strategies of duel motors and the VCU control were successfully optimized. The feasibility study and performance evaluation of Taiwan’s go karts will be conducted as an extension of this study in the near future.

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“…Mechanical controls in cars such as a steering wheel, a gas pedal, and a gearshift, have been converted into specific haptic interfaces, and integrated in steer-by-wire, drive-by-wire control systems, or advanced driver assistance/support systems [44][45][46][47][48][49][50][51][52][53][54][55][56]. In aircraft, the fly-by-wire approach integrates mechanical control inceptors such as sticks, yokes, or rudders [57][58][59][60].…”

Section: Introductionmentioning

confidence: 99%

The Advanced Control Approach based on SMC Design for the High-Fidelity Haptic Power Lever of a Small Hybrid Electric Aircraft

Hace

2019

Energies

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In the serial hybrid electric propulsion system of a small propeller aircraft the battery state of charge is fluctuating due to the diversity of possible power flows. Overwhelming visual information on the cockpit displays, besides requiring visual pilot attention, increases pilot workload, which is undesirable, especially in risky flight situations. Haptic interfaces, on the other hand, can provide intuitive cues that can be applied to enhance and simplify the cockpit. In this paper, we deal with an enhanced power lever stick, which can provide feedback force feel with haptic cues for enhanced information flow between the pilot and the powertrain system. We present selected haptic patterns for specific information related to the fluctuating battery state of charge. The haptic patterns were designed to reduce pilot workload, and for easy use, safe and energy-efficient control of the hybrid electric powertrain system. We focus on the advanced control design for high-performance force feedback required for rendering fine haptic signals, which stimulates the sensitive haptics of a pilot’s hand-arm system. The presented control algorithm has been designed by the sliding mode control (SMC) approach in order to provide disturbance rejection and high-fidelity haptic rendering. The proposed control design has been validated on an experimental prototype system.

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Fault Detection and Isolation via the Interacting Multiple Model Approach Applied to Drive-By-Wire Vehicles

Cited by 15 publications

References 32 publications

Fault Detection Method for Suspension Systems of Maglev Train Based on Optimized Random Matrix Theory

Fault Detection Method for Suspension Systems of Maglev Train Based on Optimized Random Matrix Theory

Mechatronics and Remote Driving Control of the Drive-by-Wire for a Go Kart

The Advanced Control Approach based on SMC Design for the High-Fidelity Haptic Power Lever of a Small Hybrid Electric Aircraft

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