智能跑步机跟随速度自适应控制方法研究
Research on Adaptive Control Method of Intelligent Treadmill Following Speed
王伟伟 1张高阳 2张永刚 1陈鹏3
作者信息
- 1. 重庆移通学院,重庆 401520
- 2. 西安交通工程学院,陕西 西安 710300
- 3. 大连大学,辽宁 大连 116622
- 折叠
摘要
当前跑步机都是外部速度跟随机器完成控制,在变速过程中智能化程度较低,导致变频调速精度和稳定性控制过程很被动,影响了整体的智能化效果.为此,提出智能跑步机跟随速度自适应控制方法.通过设备完成人体静止及运动状态实时数据采集,利用卡尔曼滤波算法结合采集的数据,实现用户加速度预测,根据预测结合用户在跑步机上的受力情况,带入跑步机速度控制器,实现其跟随速度的自适应控制.实验结果表明:所提方法在接近0.2s时达到理想速度,变频调速精度高于95%,证明该方法的稳定性好、响应速度快且调节精度高,整体控制效果好,更能满足用户对于智能跑步机的自适应变速要求.
Abstract
At present,treadmills are controlled by the external speed following machines,resulting in a low degree of intelligence during the speed change process,resulting in a passive control process for frequency conversion speed regulation accuracy and sta-bility,affecting the overall intelligent effect.Therefore,an adaptive control method for the following speed of intelligent treadmill is proposed.The real time data collection of human body static and motion state is completed through the device.The kalman fil-tering algorithm is used to combine the collected data to achieve user acceleration prediction.According to the prediction,com-bined with the user's stress on the treadmill,it is brought into the treadmill speed controller to achieve adaptive control of its fol-lowing speed.The experimental results show that the proposed method achieves an ideal speed when approaching 0.2s,and the ac-curacy of frequency conversion speed regulation is higher than 95%.This proves that the method has good stability,fast response speed,high regulation accuracy,and good overall control effect,which can better meet the user′s requirements for adaptive speed change of intelligent treadmill.
关键词
智能跑步机/跟随速度/自适应控制/数据采集/卡尔曼滤波算法Key words
Intelligent Treadmill/Follow Speed/Adaptive Control/Data Acquisition/Kalman Filtering Algorithm引用本文复制引用
基金项目
重庆移动学院高等教育教学改革研究项目(YTJG202141)
出版年
2024
NETL
NSTL
维普
万方数据