基于自适应模糊PID算法的绷带压力补偿

Bandage pressure compensation based on adaptive fuzzy PID algorithm

医用绷带往往依靠医生经验施加,难以实现精准治疗。为了实现精准监测绷带下的压力,在医用绷带下加入薄膜压力传感器构建了绷带压力监测系统,以STM32微处理器为核心,结合薄膜压力传感器、电路采集模块、电源模块、蓝牙模块,分别实现了压力信号的采集、电路供电及数据传输功能。测量过程中,压力信号峰值较小且变化频率快。为得到有效稳定的压力信号,将传统PID与模糊算法结合对传感器输出电压进行处理,模糊算法对电压偏差与电压偏差变化率进行模糊化、模糊推理、解模糊化处理,实现对传统PID参数的调整,从而实现传感器输出电压的调控。利用压力与传感器输出电压的数学模型关系实现对系统压力误差的控制要求。实验结果表明,自适应模糊PID算法稳定性更高,系统测试最大误差仅为4.5%,实现了系统压力信号的误差控制。

Medical bandages are often imposed by doctors’experience,and it is difficult to achieve precise treatment.In order to accurately monitor the pressure under the bandage,a bandage pressure monitoring system is built by adding a film pressure sensor under the medical bandage.With STM32 microprocessor as the core,combined with the film pressure sensor,circuit acquisition module,power supply module and Bluetooth module,the pressure signal acquisition,circuit power supply and data transmission functions are realized respectively.During the measurement process,the peak value of pressure signal is small and the frequency of change is fast.In order to obtain an effective and stable pressure signal,the traditional PID and fuzzy algorithm are combined to process the output voltage of the sensor.The fuzzy algorithm fuzzies,infers and defuzzies the voltage deviation and the change rate of the voltage deviation to realize the adjustment of the traditional PID parameters,thus achieving the purpose of regulating the output voltage of the sensor.The mathematical model relationship between pressure and sensor output voltage is used to realize the control requirements for system pressure error.The experimental results show that the adaptive fuzzy PID algorithm is more stable,and the maximum error of the system test is only 4.5%,which realizes the error control of the system pressure signal.