A Real Time Re-Configurable Steering Simulator for System Design Studies

Iyasere, Erhun; Black, J.; Kinstle, M.; Post, Bill; Wagner, John R.; Dawson, D.M.

doi:10.1109/acc.2007.4282763

Cited by 6 publications

(3 citation statements)

References 14 publications

(16 reference statements)

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“…The inherent time delay of this system is less than only 30 ms. The inertia of the system is identified as 0.07 kg m2 by the least-squares method. The real-time processor used in the steering torque feedback system is dSPACE 1006.…”

Section: Verificationmentioning

confidence: 99%

“…This feel provides information on the road and the vehicle conditions, which has a direct effect on the driver’s handling. 1–3 An eligible steering torque feedback system should have a good performance on providing different steering feels, such as the steering feel produced by a steering system with or without power assistance 4–6 and the steering feel produced by a real steering system or a customized steering system. 7–9 This requires the steering torque feedback system to have a sufficiently large steering feel range which can be simulated stably.…”

Section: Introductionmentioning

confidence: 99%

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Study on the stability of the steering torque feedback system considering the time delay and the system characteristics

Jiang

Deng

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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The steering torque feedback system, as one of the most critical parts in a driving simulator or a steer-by-wire system, is used to generate an faithful or desired steering feel for drivers. This requires that the steering torque feedback system should stably simulate the steering feel for a sufficiently large range. There are many factors that can influence the stability region of the steering torque feedback system, such as the characteristics of the system, the time delay and other non-linear factors. In this paper, from the viewpoint of the system design, a stability criterion is derived using an energy-based approach. In particular, some influencing factors are quantitatively investigated and analysed in this paper, including the characteristics of the damping, friction and stiffness system, the time delay and other non-linear factors of the system. The stability criterion and the analysis results of these influencing factors can be used as guidelines for the design of a steering torque feedback system with the aim of achieving a better performance, such as appropriate parameters for the system damping, friction and stiffness, the maximum allowable time delay of the system and the design of the system control algorithms. As well as a finished steering torque feedback system, the stability region can also be calculated from the criterion using the system parameters. The derived stability criterion and analysis results of these influencing factors are all verified by both simulations and experiments.

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Section: Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the stability of the steering torque feedback system considering the time delay and the system characteristics

Jiang

Deng

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…A dSPACE 1103 processor board was used to handle all digital-to-analog conversions including the output of motor commands and the retrieval of torque sensor and encoder feedback information. The steering subsystem was developed and validated both subjectively and objectively, [26][27][28][29] to provide a realistic steering stiffness 'feel' and a haptic feedback experience. The hydraulic power steering model was based on equations developed by Mills and Wagner 30 and is illustrated in Figure 2.…”

Section: Simulator Descriptionmentioning

confidence: 99%

Validation of a fixed-base automotive simulator for run-off-road safety and recovery training

Freeman

Rodriguez

Wagner

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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Traffic fatalities and injuries continue to demand the attention of researchers and governments across the world as they remain significant factors in public health and safety. Enhanced legislature, together with vehicle and roadway technology, has helped to reduce the impact of traffic crashes in many scenarios. However, one specifically troublesome area of traffic safety which persists is the run-off-road crash where a vehicle's wheels leave the paved portion of the roadway and begin to travel on the shoulder or side of the road. Large percentages of fatal and injury traffic crashes are attributed to run-off-road events. One of the most critical reasons why run-off-road scenarios quickly evolve into serious crashes is poor driver performance. Drivers are unprepared to handle the situation safely and often execute dangerous maneuvers, such as overcorrection, which can lead to devastating results. One countermeasure which directly addresses the driver performance is driver education and training. In this article, a simulator-based driving environment is proposed specifically for run-off-road recovery training. A human subject study is used to validate the simulator as an effective tool for replicating the run-off-road experience with the additional benefit of receiving insight into driver reactions to run-offroad events. Analysis of variance (ANOVA) results of subjective questionnaire data and objective performance evaluation parameters show strong correlations to run-off-road crash data and previous run-off-road study conclusions. In particular, higher vehicle velocities, curved roads, and larger differences between the friction coefficient of the road and the friction coefficient of the shoulder all negatively impacted drivers' recoveries from run-off-road scenarios. The only nonsignificant impact found was that of the roadway edge, indicating a possible limitation of the simulator system with respect to that particular environment variable. The validation study provides a foundation for further evaluation and development of a simulator-based run-off-road recovery training program to help to equip drivers with the skills to recognize and recover safely from this dangerous and often deadly scenario.

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