首页> 外文OA文献 >The Influence of the feedback control of the hexapod platform of the SAAM dynamic driving simulator on neuromuscular dynamics of the drivers
【2h】

The Influence of the feedback control of the hexapod platform of the SAAM dynamic driving simulator on neuromuscular dynamics of the drivers

机译:SAAM动态驾驶模拟器的六脚平台反馈控制对驾驶员神经肌肉动力的影响

摘要

Multi sensorial cues (visual, auditory, haptic, inertial, vestibular, neuromuscular) [Ang2] play important roles to represent a proper sensation (objectively) and so a perception (subjectively as cognition) in driving simulators. Driving simulator aims at giving the sensation of driving as in a real case. For a similar situation, the driver has to react in the same way as in reality in terms of ‘self motion’. To enable this behavior, the driving simulator must enhance the virtual immersion of the subject in the driving situation. The subject has to perceive the motion of his own body in the virtual scene of the virtual car as he will have in a real car. For that reason, restituting the inertial cues on driving simulators is essential to acquire a more proper functioning [Kol20]. Simulation sickness has been one of the main research topics for the driving simulators. It was assessed between dynamic and static simulators [Cur7], [Wat32]). For a braking maneuver, [Sie29] stated that if the motion platform is activated the bias in reaching increased levels of decelerations was reduced strongly comparing to inactivated platform case. However, there has been lack in publications of vehicle-vestibular cue conflict based illness rating approach and its correlation with the neuromuscular dynamics for that kind of research. In order to reduce the simulator sickness, the difference between the accelerations through the visual and the vestibular cues have to be minimized (cost function minimization via model reference adaptive control, in this paper). Because of the fact that, this paper addresses the simulator motion sickness as a correlated function of this deviation for the both cues with the perception questionnaires as well as the EMG analysis results for the subjects who joined in those experiments. Due to the restricted workspace, it is not possible to represent the vehicle dynamics continuously with scale 1 to 1 on the motion platform [Moo22]. Nevertheless, the most desired aim is to minimize the deviation of the sensed accelerations between the represented dynamics as realistic as possible depending on the driving task. The perception of the driving is very difficult to evaluate in that context. This is the reason; the motion sickness is not easy to study as well. This research work has been performed under the dynamic operations of the SAAM driving simulator as an open-loop and a closed-loop controlled tracking of the hexapod platform of the SAAM dynamic driving simulator.It is obvious that inertial restitution addresses a significant role to maintain a developed fidelity of the driver behaviors on diving simulators The dynamic simulators are being used since the mid 1960s (Stewart platform) [Ste1] firstly for the flight simulators, then the use has spread to the automotive applications. The utilization scope diversifies from driver training to research purposes such as; vehicle dynamics control, advanced driving assistance systems (ADAS), motion and simulator sickness, etc. The dynamic driving simulator SAAM (Simulateur Automobile Arts et Métiers) involves a 6 DOF (degree of freedom) motion system. It acts around a RENAULT Twingo 2 cabin with the original control instruments (gas, brake pedals, steering wheel). The visual system is realized by an approximate 150° cylindrical view. Within the cabin for the employment of extensive measuring techniques (XSens motion tracker, and Biopac EMG (electromyography) device [Acq10]) prepared, which have been already used with numerous attempts such as sinus steer test, NATO chicane, etc. The visual accelerations of translations (longitudinal X, lateral Y and vertical Z axes) as well as the visual accelerations of roll and pitch, which correspond to the vehicle dynamics, were taken into account for the control. Then the platform positions, velocities and accelerations were controlled and fed back to minimize the conflict between the vehicle and the platform levels.The research question about this paper explains a comparative study between an open and a closed loop controlled platform in order to determine the spent power by the muscles to maintain the vehicle pursuing among the pylons. For the evaluation and the validation procedure [Kim19], [Wat32], [Rey27], [Kem17], [Che5], [Pic25], [Acq1], the scenario driven on the simulator SAAM with an open and a closed loop controlled platform to describe the impact of the feedback control.Some results from a case study will be illustrated in the scope of this research with real time controls of the platform at a longitudinal velocity of 60 km/h. The results of this study will be discussed also statistically to obtain the distribution of the dynamics behavior for a group of the participants. This research has been undertaken at ENSAM Institut Image, in collaboration with RENAULT.
机译:多感官提示(视觉,听觉,触觉,惯性,前庭,神经肌肉)[Ang2]在代表适当的感觉(客观地)以及因此在驾驶模拟器中的感知(主观上为认知)方面起着重要的作用。驾驶模拟器的目的是在真实情况下提供驾驶感觉。在类似情况下,驾驶员在“自运动”方面必须以与现实相同的方式做出反应。为了实现这种行为,驾驶模拟器必须增强对象在驾驶情况下的虚拟沉浸感。受试者必须在虚拟汽车的虚拟场景中感知自己身体的运动,就像在真实汽车中那样。因此,在驾驶模拟器上恢复惯性提示对于获得更适当的功能至关重要[Kol20]。模拟病已经成为驾驶模拟器的主要研究主题之一。在动态和静态模拟器[Cur7],[Wat32]之间进行了评估。对于制动操作,[Sie29]指出,如果运动平台被激活,则与未激活的平台情况相比,达到增加的减速水平的偏差会大大降低。然而,针对这类研究,缺乏基于车辆-前庭提示冲突的疾病评级方法及其与神经肌肉动力学的相关性的出版物。为了减少模拟器的疾病,必须最小化通过视觉和前庭提示的加速度之间的差异(本文中通过模型参考自适应控制使成本函数最小化)。由于存在这样的事实,本文将知觉问卷和参加这些实验的受试者的肌电图分析结果作为模拟器对这两种暗示的模拟器晕动病的相关函数。由于工作空间有限,无法在运动平台[Moo22]上以1到1的比例连续显示车辆动态。然而,最期望的目的是根据驾驶任务使所感测的加速度之间的所表现出的动力学之间的偏差尽可能地最小。在这种情况下,很难评估驾驶感受。这是原因;晕车也不容易学习。这项研究工作是在SAAM驾驶模拟器的动态操作下进行的,作为对SAAM驾驶模拟器的六足平台的开环和闭环控制的跟踪。很明显,惯性恢复在维持驾驶中起着重要作用。自1960年代中期以来(Stewart平台)[Ste1]开始将动态模拟器用于飞行模拟器,然后将其推广到汽车应用。使用范围从驾驶员培训到研究目的等多种多样;车辆动力学控制,高级驾驶辅助系统(ADAS),运动和模拟器疾病等。动态驾驶模拟器SAAM(Simulateur Automobile Arts etMétiers)涉及6 DOF(自由度)运动系统。它使用原始控制仪表(油门,制动踏板,方向盘)围绕RENAULT Twingo 2驾驶室运行。视觉系统通过大约150°的圆柱视图实现。在机舱内准备使用广泛的测量技术(XSens运动跟踪器和Biopac EMG(肌电图)设备[Acq10]),这些技术已经进行了许多尝试,例如窦转向测试,北约弯道等。视觉加速度控制时考虑了平移(纵向X轴,Y轴和Z轴的垂直方向)以及侧倾和俯仰的视觉加速度(与车辆动力学相对应)。然后控制平台的位置,速度和加速度,并进行反馈,以最大程度地减少车辆与平台高度之间的冲突。本文的研究问题解释了开环和闭环控制平台之间的比较研究,以确定所用的肌肉的力量来维持车辆在塔架中的追赶。对于评估和验证过程[Kim19],[Wat32],[Rey27],[Kem17],[Che5],[Pic25],[Acq1],在仿真器SAAM上驱动的场景具有开环和闭环控制平台来描述反馈控制的影响。在本研究的范围内,将以纵向速度为60 km / h的平台进行实时控制来说明一些案例研究的结果。本研究的结果还将进行统计学讨论,以获得一组参与者的动力学行为分布。这项研究是由ENSAM Institut Image与RENAULT合作进行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号