Research on Adaptive Control Method of Intelligent Treadmill Following Speed
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.
NETL
NSTL
万方数据
维普
