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Journal article
A Reconfiguration-Based Fault-Tolerant Anti-Lock Brake-by-Wire System
ACM Transactions on Embedded Computing Systems, Vol.17(5), 87
17
2018
Web of Science ID: WOS:000452067400006
Abstract
Anti-Lock Braking Systems (ABS) and Brake-by-Wire Systems (BBW) are safety-critical applications by nature. Such systems are required to demonstrate high degrees of dependability. Fault-tolerance is the primary means to achieve dependability at runtime and has been an active research area for decades. Fault-tolerance is usually achieved in traditional embedded computing systems through redundancy and voting methods. In such systems, hardware units, actuators, sensors, and communication networks are replicated where special voters vote against faulty units. In addition to traditional hardware and software redundancy, hybrid and reconfiguration-basedapproachestofault-toleranceareevolving.Inthisarticle, we present a reconfiguration-based fault-tolerant approach to achieve high dependability in ABS BBW braking systems. The proposed architecture makes use of other components of less safety-critical systems to maintain high dependability in the more safety-critical systems. This is achieved by migrating safety-critical software tasks from embedded computerhardwarethatrunsintoamalfunctiontootherembeddedcomputinghardwarerunningless-critical software tasks. Or by using a different configuration in terms of the used speed sensors and type of ABS. The proposed architecture is on average 20% more reliable than conventional ABS architectures assuming equal reliabilities of different components.
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Details
- Title
- A Reconfiguration-Based Fault-Tolerant Anti-Lock Brake-by-Wire System
- Publication Details
- ACM Transactions on Embedded Computing Systems, Vol.17(5), 87
- Resource Type
- Journal article
- Publisher
- Association for Computing Machinery; United States
- Series
- 17
- Number of pages
- 13
- Copyright
- ©2018 Association for Computing Machinery
- Identifiers
- WOS:000452067400006; 99380090895506600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering
- Language
- English