CAJ | 학술논문

为了消除汽车试验中人为因素的影响,提高试验数据的准确度和有效性,研究开发了一种可以代替人类驾驶员进行汽车试验的汽车驾驶机器人系统.介绍了驾驶机器人系统的组成、汽车性能自学习算法及控制系统的设计.最后,给出了驾驶机器人用于排放耐久性试验的实车试验结果,结果表明驾驶机器人车速跟踪控制精度满足汽车试验的要求,重复性好,验证了驾驶机器人控制性能的有效性.
위료소제기차시험중인위인소적영향,제고시험수거적준학도화유효성,연구개발료일충가이대체인류가사원진행기차시험적기차가사궤기인계통.개소료가사궤기인계통적조성、기차성능자학습산법급공제계통적설계.최후,급출료가사궤기인용우배방내구성시험적실차시험결과,결과표명가사궤기인차속근종공제정도만족기차시험적요구,중복성호,험증료가사궤기인공제성능적유효성.
To eliminate the uncertainty of vehicle test results by human drivers and to ensure the accuracy and reliability of vehicle test results, a robot driver system for vehicle test instead of human driver is developed. The system configuration, the vehicle performance self-learning algorithm and the control system design of robot driver are presented in detail. Finally, a real test result of the vehicle durability emission test based on robot driver is given. Experiment results show that the robot drier is able to control tested vehicles with good repeat-ability and consistency. Therefore, the valid of control performance of robot driver is verified.