Papers by Keyword: Steering-by-Wire

Abstract: This paper presents an intelligent fault diagnostic approach for a steer-by-wire (SBW) system. A rough set model is utilized to reduce the redundant information. On the base of the reduction, the classifying rules can be extracted. A radical basis function (RBF) neural network optimized by particle swarm optimization (PSO) algorithm is designed to learn the fault rules that are extracted from the reduction of the redundant information. The proposed approach is simulated in MATLAB. Simulation results show that the proposed intelligent fault diagnostic algorithm provides a higher level of diagnostic accuracy than the approach without any optimization.

Abstract: There is much advancement in steering control technology with time. Steering-By-Wire (SBW) system is the most modern and efficient technique. This paper first introduces current status and history of SBW system from concept proposal, prototype design and development of concept car with SBW system. The structure, principle, key components and classification of SBW system are also described systematically. Then several features of SBW system are analyzed in detail in connection with efficient handling, stability, spatial structure, intelligence and security of vehicle. Finally the future issues to be researched are discussed, including system reliability, hardware technology, system control strategy and power supply.

Abstract: In order to meet the requirements of research on steer-by-wire force feedback, a MRF- damper-based experimental system was developed. In the paper, the necessity of the experimental system was analyzed, the general structure and hardware components were introduced. The design of the rotary MRF dampers was illuminated in detail. Experiments showed that the MRF-damper-based haptic system can be used for the study of automobile steer-by-wire system.