Actuator Fault Diagnosis, State Detection and Fault Tolerant Control for Ground and Rail Vehicles
A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Actuators for Land Transport".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 3897
Special Issue Editors
Interests: intelligent connected vehicles; vehicle system dynamic; active safety control
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent perception and fault diagnosis; risk analysis and emergency command; image intelligent analysis
Special Issues, Collections and Topics in MDPI journals
Interests: path planning; autonomous vehicle; cooperative adaptive cruise control
Special Issues, Collections and Topics in MDPI journals
Interests: vehicle dynamics and control; intelligent and connected vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Actuators serve as pivotal components, which are responsible for ensuring the precise control and maneuverability in both ground and rail vehicles, directly impacting their operational safety and reliability. The efficient diagnosis of actuator faults allows for the early detection of abnormalities or malfunctions, thus facilitating timely maintenance and repair actions. State detection systems enable the early detection of any deviations from normal operating conditions, which may indicate potential actuator failures or degradations. This proactive approach to monitoring helps prevent catastrophic failures, ensuring that corrective actions can be taken prior to any safety-critical situations arising. The implementation of fault-tolerant control strategies further enhances safety through enabling vehicles to maintain stable and controllable operation, even in the presence of actuator failures or malfunctions.
Currently, one of the main issues faced in this domain is the limited effectiveness of existing diagnostic and control systems in the identification and mitigation of actuator faults in real time. Despite advancements in sensor technology and fault detection algorithms, there remains a gap in achieving robust and reliable fault diagnosis and fault-tolerant control, particularly under varying environmental conditions. Currently, studies that combine advanced sensor fusion techniques, artificial intelligence technology, and distributed control techniques demonstrate great potential. In this background, the purpose of this Special Issue is to establish a platform for researchers and practitioners to share their latest findings, thereby contributing to the advancement of ground and rail vehicles. The topics of interest within the scope of this Special Issue include, but are not limited to, the following:
- Actuator Fault Diagnosis under Multi-Sensor Fusion;
- Data-driven fault diagnosis and failure prediction;
- Real-time detection and dynamic warning;
- Trajectory tracking and collision avoidance control considering actuator failure;
- Control of multi-vehicle platooning systems considering actuator failure;
- Fault-tolerant control of vehicle chassis under actuator failure;
- Active control of vehicle actuators (braking, drive, steering systems, etc.);
- Analysis of vehicle passive safety (e.g., actuator failure analysis, etc.)
- Data-driven state estimation of ground and rail vehicles;
- Data-driven fault-tolerant control of ground and rail vehicles.
Dr. Yan Wang
Prof. Dr. Yong Qin
Dr. Qingchao Liu
Dr. Liwei Xu
Dr. Bin-Bin Hu
Guest Editors
Manuscript Submission Information
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Keywords
- ground and rail vehicles
- actuator fault diagnosis
- state detection
- fault tolerant control
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