Linear Actuators in a Haptic Feedback Joystick System for Electric Vehicles

Kamil Andrzej Daniel, P. Kowol, Grazia Lo Sciuto
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Abstract

Several strategies for navigation in unfamiliar environments have been explored, notably leveraging advanced sensors and control algorithms for obstacle recognition in autonomous vehicles. This study introduces a novel approach featuring a redesigned joystick equipped with stepper motors and linear drives, facilitating WiFi communication with a four-wheel omnidirectional electric vehicle. The system’s drive units integrated into the joystick and the encompassing control algorithms are thoroughly examined, including analysis of stick deflection measurement and inter-component communication within the joystick assembly. Unlike conventional setups in which the joystick is tilted by the operator, two independent linear drives are employed to generate ample tensile force, effectively “overpowering” the operator’s input. Running on a Raspberry Pi, the software utilizes Python programming to enable joystick tilt control and to transmit orientation and axis deflection data to an Arduino unit. A fundamental haptic effect is achieved by elevating the minimum pressure required to deflect the joystick rod. Test measurements encompass detection of obstacles along the primary directions perpendicular to the electric vehicle’s trajectory, determination of the maximum achievable speed, and evaluation of the joystick’s maximum operational range within an illuminated environment.
电动汽车触觉反馈操纵杆系统中的线性致动器
人们探索了在陌生环境中进行导航的几种策略,特别是利用先进的传感器和控制算法来识别自动驾驶汽车中的障碍物。本研究介绍了一种新方法,其特点是重新设计操纵杆,配备步进电机和线性驱动器,便于与四轮全向电动汽车进行 WiFi 通信。该系统对集成到操纵杆中的驱动单元和相关控制算法进行了深入研究,包括对操纵杆偏转测量和操纵杆组件内部组件间通信的分析。与操纵杆由操作员倾斜的传统设置不同,该系统采用了两个独立的线性驱动装置来产生足够的拉力,从而有效地 "压倒 "操作员的输入。软件在 Raspberry Pi 上运行,利用 Python 编程实现操纵杆倾斜控制,并将方向和轴偏转数据传输到 Arduino 装置。通过提高操纵杆杆偏转所需的最小压力,实现了基本的触觉效果。测试测量包括沿垂直于电动汽车轨迹的主要方向检测障碍物、确定可达到的最大速度,以及评估操纵杆在照明环境中的最大操作范围。
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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