Model-based diagnosis and fault tolerant control for ensuring torque functional safety of pedal-by-wire systems

Zhang, Jiyu; Rizzoni, Giorgio; Cordoba-Arenas, Andrea; Amodio, Alessandro; Aksun‐Güvenç, Bilin

doi:10.1016/j.conengprac.2016.11.017

Cited by 15 publications

(3 citation statements)

References 24 publications

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“…Operator. The author's selection operation is divided into the following steps: sort by fitness value, then randomly select m samples, and cross and mutate m samples [22]. Keep the best sample of the parent.…”

Section: Mixed Selectionmentioning

confidence: 99%

Sensor Fault Diagnosis and Fault Tolerant Control of Quadrotor UAV Based on Genetic Algorithm

Hua

Zhang

et al. 2022

Journal of Sensors

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The quadrotor drone is small in size and light in weight, the mechanical structure is simple, and the requirements for the working environment are low. The development of a quadrotor UAV technology is also the focus of the current technical personnel. The author proposes a four-rotor UAV sensor fault diagnosis and fault-tolerant control based on genetic algorithm and introduces common sensor failures, and based on the improved BP neural network of the GA algorithm, the genetic algorithm is improved. This paper uses a classical BP algorithm, a classical GA-BP algorithm, and an improved GA-BP algorithm for training. Using a total of 150 sets of training data and training function using LevenbregMarquardt (trainlm), MeanSquaredError (performance function using mse), in the same noise background, the improved GA-BP algorithm has the highest detection rate, the classical GA-BP algorithm followed, and classical BP algorithm is the worst. Therefore, using the improved GA-BP algorithm, various errors of the sensor can be detected quickly and accurately.

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Section: Mixed Selectionmentioning

confidence: 99%

Sensor Fault Diagnosis and Fault Tolerant Control of Quadrotor UAV Based on Genetic Algorithm

Hua

Zhang

et al. 2022

Journal of Sensors

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“…However, the inevitable degradation of system performance can be caused by a variety of unexpected process changes, including the components faults (malfunctioning actuators or sensors) which are critical reasons, as well as other important factors (abnormal working conditions) which cannot be ignored (Qin et al, 2018; Zagorowska et al, 2020; Zhou et al, 2021). Recently, a significant number of fault diagnosis (Feng and Zhao, 2021; Li et al, 2018; Naderi and Khorasani, 2017) and fault-tolerant control (FTC) (Li et al, 2015; Shen et al, 2019; Yang et al, 2020; Zhang et al, 2017; Zhang and Jiang, 2003; Zhou and Ren, 2001) approaches have been proposed to deal with faulty systems. Most of them are classified into model-based and data-driven methods basically, to detect component-level faults and maintain system performance.…”

Section: Introductionmentioning

confidence: 99%

An integrated structure of operational performance-oriented monitoring and degradation recovery based on iterative adaptive dynamic programming

Gao¹,

Gao²,

Yang³

et al. 2023

Transactions of the Institute of Measurement and Control

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Driven by the increasing industrial demands for process safety and product quality, this paper is devoted to operational performance monitoring and performance degradation recovery for closed-loop control systems under abnormal working conditions. To this end, a new operational performance indicator is designed and its benchmark with an explicit sensitivity criteria for selecting historical data, to detect the system degradation timely and accurately. Then, by embedding the operational performance indicator as a trigger condition, a data-driven performance degradation recovery method with the aid of iterative adaptive dynamic programming (ADP) algorithm is investigated. This implementation shows that iterative ADP can be applied efficiently by utilizing both value iteration and measurement data to recover the anomaly induced system performance degradation. Finally, a case study on the continuous stirred tank reactor system is provided to validate the effectiveness of these proposed methods.

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“…As this fault may concern either the SBW or the BBW systems, both systems have to be supervised. Published research in the field of fault detection and isolation (FDI) applied to drive-by-wire vehicles treats separately the case of SBW [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ] or BBW [ 3 , 11 , 12 ] system faults.…”

Section: Introductionmentioning

confidence: 99%

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

Judalet¹,

Glaser

Gruyer³

et al. 2018

Sensors

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The place of driving assistance systems is currently increasing drastically for road vehicles. Paving the road to the fully autonomous vehicle, the drive-by-wire technology could improve the potential of the vehicle control. The implementation of these new embedded systems is still limited, mainly for reliability reasons, thus requiring the development of diagnostic mechanisms. In this paper, we investigate the detection and the identification of sensor and actuator faults for a drive-by-wire road vehicle. An Interacting Multiple Model approach is proposed, based on a non-linear vehicle dynamics observer. The adequacy of different probabilistic observers is discussed. The results, based on experimental vehicle signals, show a fast and robust identification of sensor faults while the actuator faults are more challenging.

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Model-based diagnosis and fault tolerant control for ensuring torque functional safety of pedal-by-wire systems

Cited by 15 publications

References 24 publications

Sensor Fault Diagnosis and Fault Tolerant Control of Quadrotor UAV Based on Genetic Algorithm

Sensor Fault Diagnosis and Fault Tolerant Control of Quadrotor UAV Based on Genetic Algorithm

An integrated structure of operational performance-oriented monitoring and degradation recovery based on iterative adaptive dynamic programming

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

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