基于微控制器的声控轮椅控制

J. Yi, Y. Tan, Z. Ang, S. K. Panda
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引用次数: 21

摘要

传统的电动轮椅大多采用操纵杆作为输入控制方式来操纵电动轮椅。操纵杆控制的缺点是它不适合身体残疾的人,他们不能控制自己的动作,尤其是手。提议的声控动力轮椅配有操纵杆控制,使身体残疾的人无需使用手即可轻松操纵轮椅。电动轮椅的推进依赖于电机控制和驱动系统,该系统由英飞凌微控制器XC886和英飞凌直流斩波电源模块BTS7970B组成。一旦语音识别系统将语音命令与预先存储的内存进行比较,相应的编码数字信号将被发送到微控制器,然后微控制器相应地控制轮椅。原型动力轮椅的有效载荷约为120公斤。电机驱动电路在12V时可输出高达37.5A的电流。本文讨论了控制杆控制算法、闭环电流控制和语音识别系统。采用闭环电流控制,减小了抽动的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microcontroller based voice-activated powered wheelchair control
Most of the conventional electric powered wheelchairs are using joystick as a used input mode of control to maneuver the powered wheelchairs. The drawback of joystick control is that it is not suitable for physical disabled person who cannot control their movements especially the hands. The proposed voice-activated powered wheelchair supplementary with joystick control allows physically disabled person to maneuver the wheelchair easily without the need to use hands. The propelling of the powered wheelchair depends on the motor control and drive system which consists of Infineon microcontroller XC886 and Infineon DC chopper power module BTS7970B. Once the voice recognition system recognizes the voice commands in comparison to the prestored memory, the respective coded digital signals would be sent to the microcontroller which then controls the wheelchair accordingly. The prototype powered wheelchair is tested with a pay load of about 120kg. The motor drive circuit can deliver the current up to 37.5A at 12V. In this paper, the joystick control algorithm, closed-loop current control and voice recognition system would be discussed. With the implementation of closed-loop current control, the effect of jerk is reduced.
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