Implementation of Motion Cueing and Motor Position Control for Vehicle Simulator with 4-DOF-Platform

A. Aulia, Monika Faswia Fahmi, H. Hindersah, A. S. Rohman, Egi Muhammad Idris Hidayat
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引用次数: 3

Abstract

Vehicle simulator is used for various purposes, mainly driver training and vehicle model test. One of the most important part of vehicle simulator is motion simulator which simulates the vehicle motion. This part makes the user feel the motion sensation given by the real vehicle even though the user is in the simulator platform. The motion simulator itself consists of several subsystems : user interface, dynamic model calculation, motion cueing, and platform control system. This paper explains the implementation and its result of designed motion cueing and the motor position control which is a part of platform control system. The design is implemented on vehicle simulator in Institut Teknologi Bandung which has 4 degrees of freedom for its motion (pitch, roll, sway, and surge). The implemented motion cueing algorithm (MCA) is model predictive control (MPC), an optimization-based motion cueing algorithm. Sliding mode control (SMC) with saturation function is implemented for position control of the motor to solve nonlinear load torque disturbance which appear from a static behaviour when the platform rotates on pitch motion. From the motion cueing result, it can be inferred that MPC-based MCA can track the motion sensation of the real vehicle, especially for the surge and sway motion. For pitch and roll sensation, reference signals with lower frequency yield worse results compared to the signals with higher frequency ones. Meanwhile, from the motor position control result, it can be concluded that SMC with saturation function can track the position reference according to the calculation of motion cueing.
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基于四自由度平台的车辆模拟器运动提示与电机位置控制的实现
车辆模拟器用于各种用途,主要是驾驶员培训和车辆模型测试。模拟车辆运动的运动模拟器是车辆模拟器的重要组成部分之一。这部分让用户即使在模拟器平台上也能感受到真实车辆的运动感。运动模拟器本身由几个子系统组成:用户界面、动态模型计算、运动提示和平台控制系统。本文阐述了平台控制系统中设计的运动提示和电机位置控制的实现及其效果。该设计在万隆理工大学的汽车模拟器上实现,该模拟器具有4个运动自由度(俯仰、侧倾、摇摆和喘振)。所实现的运动线索算法(MCA)是一种基于优化的运动线索算法——模型预测控制(MPC)。采用带饱和函数的滑模控制(SMC)对电机进行位置控制,以解决平台在俯距运动下旋转时,由于静态状态引起的非线性负载转矩扰动。从运动线索的结果可以推断,基于mpc的MCA可以跟踪真实车辆的运动感觉,特别是对喘振和摇摆运动。对于俯仰和滚转感觉,低频参考信号比高频参考信号产生更差的结果。同时,从电机位置控制的结果可以看出,根据运动线索的计算,具有饱和函数的SMC可以跟踪位置参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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