三自由度机车模拟器的节流阀、运动线索和平台控制系统

A. Aulia, Ngakan Putu Ariastu Krisnadi Rata, Mukhtar Amin, H. Hindersah, E. Hidayat
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引用次数: 2

摘要

随着我国火车使用量的增加,我国需要改进火车驾驶员的培训模式,因此对火车模拟器的需求应运而生。本文介绍了三自由度列车/机车模拟器的油门杆、运动信号和平台控制系统的设计与实现。这些组件是火车/机车模拟器输入和运动控制的组成部分。油门杆系统是一个用户输入系统,它从用户那里通知模拟器系统油门水平。运动提示系统是在计算平台位置的同时,在计算和算法中考虑到平台的机械约束条件,使用户产生真实的列车/机车运动感觉。平台控制器从运动信号中接收所需的平台位置,计算平台的逆运动学后移动平台。这些子系统通过MQTT相互通信,RabbitMQ作为高级消息队列协议。试验验证结果表明,该逆运动学模型的俯仰运动最大误差为0.33度,横摇运动最大误差为1.01度。浪涌运动没有可测量的误差。子系统之间的通信将在零拥塞的情况下运行。因此,整个系统是实时运行的。利用人耳石系统模型计算了平台运动给用户的单位质量输入力,并与实际列车运动给用户的单位质量输入力进行了比较。浪涌感知的稳态误差为10%。俯仰和横摇感知在瞬态响应中存在误差。
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Throttle, Motion Cueing, and Platform Control Systems of 3-DOF Locomotive Simulator
The need of train simulator in Indonesia arises from our necessity to improve mode of training of train drivers as our train usage grows. This paper explains about the design and implementation of throttle lever, motion cueing, and platform control systems of 3-DOF train/locomotive simulator. These components are parts of train/locomotive simulator’s input and movement control. Throttle lever system is a user-input system which informs the simulator system about the throttle level from the user. Motion cueing is the system which calculates the platform’s position to produce the feeling of real train/locomotive movement to the user while also considers the platform’s mechanical restrictions in its calculation and algorithm. The platform control receives required platform position from the motion cueing and moves the platform after the calculation of the platform’s inverse kinematics. These subsystems communicate to each other via MQTT with RabbitMQ as the Advance Message Queuing Protocol. After testing and verification the results show that that inverse kinematic have maximum error of 0.33 degree for pitch movement and 1.01 degree for roll movement. There is no measurable error on surge movement. Communication between sub-systems would run on zero congestion. Hence, the whole system runs in real-time. The force per mass input given to the user by the platform motion is calculated using human’s otolith system model and compared with the force per mass input given by the real train motion. Steady-state error for surge perception is 10%. The pitch and roll perception has error in the transient response.
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