Embedded Power Assisted Control System Based On Fuzzy Control Algorithm

With the continuous improvement of quality of life,fitness has become an indispensable part of people's lives.At present,most of the power fitness equipment still stays in the design of pure physical structure.The lack of intelligence makes the traditional power equipment unable to dynamically adjust the weight according to the fluctuation of the user's strength changes.If the weight is too light,the training effect is inefficient,and if the weight is too heavy,it may easily cause a safety accident.Therefore,it is of great significance for the development of the strength fitness industry to monitor the strength changes of users during training,provide auxiliary power to them at an appropriate time,and improve training efficiency and safety.This dissertation analyzes the typical power fitness equipment-Smith frame,using the STM32F407 development board of the ARM CORTEX-M4 as the core,and the servo system as the power source to design the power fitness auxiliary control system based on the fuzzy control algorithm.First,the hardware platform of the power assisted control system is designed,which mainly includes two parts: the physical transmission model and the servo control system.Then,the MODBUS-RTU industrial communication protocol is used to communicate between the controller and the driver.The controller monitors the movement of the load bar in real time by accessing the speed and position pulse parameters of the servo motor.After analyzing the parameters,the fuzzy control algorithm is used to control the torque Calculate and send the torque to the servo motor to realize power assist.Secondly,the system uses the EMWIN graphics library to develop a user graphical interface on the LCD screen of the STM32F407 development board.The exercise status is updated to the interface in real time,and users can observe their own exercise status at any time.Finally,build an experimental environment to test the stability of the system with 11 different weights.The experiment proves that the power fitness auxiliary control system based on the fuzzy control algorithm can accurately detect the user's strength changes during training and provide power assistance in time,which improves the training effectiveness and safety of the tracked power fitness equipment.