外文翻译—俞斌峰.docVIP

南京航空航天大学金城学院 毕业设计（论文）外文文献翻译 系 部 机电工程系 专 业 车辆工程 学生姓名 俞斌峰 学号 2010012315 指导教师 毛建国 职称 副教授 2014年 2 月 A Mathematical Model of Driver Steering Control Including Neuromuscular Dynamics Andrew J. Pick David J. Cole Abstract A mathematical driver model is introduced in order to explain the driver steering behavior observed during successive double lane-change maneuvers. The model consists of a linear quadratic regulator path-following controller coupled to a neuromuscular system (NMS). The NMS generates the steering wheel angle demanded by the path-following controller. The model demonstrates that reflex action and muscle cocontraction improve the steer angle control and thus increase the path-following accuracy. Muscle cocontraction does not have the destabilizing effect of reflex action, but there is an energy cost. A cost function is used to calculate optimum values of cocontraction that are similar to those observed in the experiments. The observed reduction in cocontraction with experience of the vehicle is explained by the driver learning to predict the steering torque feedback. The observed robustness of the path-following control to unexpected changes in steering torque feedback arises from the reflex action and cocontraction stiffness of the NMS. The findings contribute to the understanding of driver-vehicle dynamic interaction. Further work is planned to improve the model; the aim is to enable the optimum design of steering feedback early in the vehicle development process. Keywords: driver, steering, neuromuscular, muscle, reflex, torque, vehicle, feedback 1 Introduction The introduction of driver assistance technologies like steer by wire is leading to a greater need to understand the way in which road vehicles operate in closed loop with the driver. Mathematical driver models have received increasing attention recently, see Refs. [1–4] for reviews of the literature. Developments include adaptive behavior, hu