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【51单片机快速入门指南】4.3.2: MPU6050:一阶互补滤波 二阶互补滤波和卡尔曼滤波

时间:2019-03-15 15:28:33

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【51单片机快速入门指南】4.3.2: MPU6050:一阶互补滤波 二阶互补滤波和卡尔曼滤波

目录

源码MPU6050_Filter.cMPU6050_Filter.h使用方法测试程序一阶互补滤波效果二阶互补滤波效果卡尔曼滤波效果总结

普中51-单核-A2

STC89C52

Keil uVision V5.29.0.0

PK51 Prof.Developers Kit Version:9.60.0.0

上位机:Vofa+ 1.3.10


参考资料:

MPU6050数据采集及其意义和滤波(一阶互补滤波、二阶互补滤波、卡尔曼滤波)—— 275891381

关于MPU6050姿态解算的一阶互补滤波方法(从原理到代码实现) —— 可以叫我马同学

姿态融合的一阶互补滤波、二阶互补滤波、卡尔曼滤波核心程序 —— 卖硬件的

源码

stdint.h见【51单片机快速入门指南】1:基础知识和工程创建

软件I2C程序见【51单片机快速入门指南】4: 软件 I2C

串口部分见【51单片机快速入门指南】3.3:USART 串口通信

MPU6050.c、MPU6050.h见【51单片机快速入门指南】4.3: I2C读取MPU6050陀螺仪的原始数据

MPU6050_Filter.c

#include "MPU6050.h"#include <math.h>#include "./MPU6050/MPU6050_Filter.h"#define PI 3.141592653589793float Delta_t = 1;float GYRO_K = 1;#define First_Order_Filter_Tau 0.075float First_Order_k = 1;void MPU6050_Filter_Init(float loop_ms){Delta_t = loop_ms/1000.;First_Order_k = First_Order_Filter_Tau / (First_Order_Filter_Tau + Delta_t);switch((MPU_Read_Byte(MPU_GYRO_CFG_REG) >> 3) & 3){case 0:GYRO_K = 131;break;case 1:GYRO_K = 65.5;break;case 2:GYRO_K = 32.8;break;case 3:GYRO_K = 16.4;break;}}float First_Order_Filter_Calc(int16_t acc1, int16_t acc3, int16_t gyro2, float * angle2){*angle2 = First_Order_k * (*angle2 + (-gyro2 / GYRO_K) * Delta_t) + (1 - First_Order_k) * (atan2(acc1, acc3) * 180 / PI);return *angle2;} #define Second_Order_Filter_k 5float Second_Order_Filter_Calc(int16_t acc1, int16_t acc3, int16_t gyro2, Second_Order_Filter* filter){float angle_m = atan2(acc1, acc3) * 180 / PI;float gyro_m = -gyro2 / GYRO_K;float x1, x2;x1 = (angle_m - filter->angle) * Second_Order_Filter_k * Second_Order_Filter_k;filter->y = filter->y + x1 * Delta_t;x2 = filter->y + 2 * Second_Order_Filter_k * (angle_m - filter->angle) + gyro_m;filter->angle = filter->angle + x2 * Delta_t;return filter->angle;}#define Q_angle0.05#define Q_gyro0.0003#define R_angle 0.01float MPU_Kalman_Filter_Calc(int16_t acc1, int16_t acc3, int16_t gyro2, MPU_Kalman_Filter* filter){float newAngle = atan2(acc1, acc3) * 180 / PI;float newRate = -gyro2 / GYRO_K;float E;float K_0, K_1;float Angle_err_x;filter->angle += Delta_t * (newRate - filter->Q_bias_x);filter->P_00 += - Delta_t * (filter->P_10 + filter->P_01) + Q_angle * Delta_t;filter->P_01 += - Delta_t * filter->P_11;filter->P_10 += - Delta_t * filter->P_11;filter->P_11 += + Q_gyro * Delta_t;Angle_err_x = newAngle - filter->angle;E = filter->P_00 + R_angle;K_0 = filter->P_00 / E;K_1 = filter->P_10 / E;filter->angle += K_0 * Angle_err_x;filter->Q_bias_x += K_1 * Angle_err_x;filter->P_00 -= K_0 * filter->P_00;filter->P_01 -= K_0 * filter->P_01;filter->P_10 -= K_1 * filter->P_00;filter->P_11 -= K_1 * filter->P_01;return filter->angle;}

MPU6050_Filter.h

#ifndef MPU6050_Filter_H_#define MPU6050_Filter_H_typedef struct{float y;float angle;}Second_Order_Filter;typedef struct{float P_00, P_01, P_10, P_11;float Q_bias_x;float angle;}MPU_Kalman_Filter;void MPU6050_Filter_Init(float loop_ms);float First_Order_Filter_Calc(int16_t acc1, int16_t acc3, int16_t gyro2, float * angle2);float Second_Order_Filter_Calc(int16_t acc1, int16_t acc3, int16_t gyro2, Second_Order_Filter* filter);float MPU_Kalman_Filter_Calc(int16_t acc1, int16_t acc3, int16_t gyro2, MPU_Kalman_Filter* filter);#endif

使用方法

先调用MPU6050_Filter_Init(dt),参数为一次循环的时间,单位为ms

再使用滤波函数。

测试程序

生成的程序较大,对于89C52,需要注释掉没用到的函数。

一阶互补滤波

#include <STC89C5xRC.H>#include "intrins.h"#include "stdint.h"#include "USART.h"#include "./MPU6050/MPU6050.h"#include "./MPU6050/MPU6050_Filter.h"void Delay1ms()//@11.0592MHz{unsigned char i, j;_nop_();i = 2;j = 199;do{while (--j);} while (--i);}void Delay_ms(int i){while(i--)Delay1ms();}void main(void){int16_t aacx,aacy,aacz;//加速度传感器原始数据int16_t gyrox,gyroy,gyroz;//陀螺仪原始数据float anglex = 0;float angley = 0;float anglez = 0;USART_Init(USART_MODE_1, Rx_ENABLE, STC_USART_Priority_Lowest, 11059200, 57600, DOUBLE_BAUD_ENABLE, USART_TIMER_1);MPU_Init(); MPU6050_Filter_Init(47);while(1){MPU_Get_Accelerometer(&aacx, &aacy, &aacz);//得到加速度传感器数据MPU_Get_Gyroscope(&gyrox, &gyroy, &gyroz);//得到陀螺仪数据printf("%f, " , First_Order_Filter(aacy, aacz, gyrox, &anglex));printf("%f, " , First_Order_Filter(aacx, aacz, gyroy, &angley));printf("%f\r\n",First_Order_Filter(aacx, aacy, gyroz, &anglez));}}

效果

只看了俯仰和滚转

First_Order_Filter_Tau要根据需要调节,我这里取First_Order_Filter_Tau = 0.075

二阶互补滤波

#include <STC89C5xRC.H>#include "intrins.h"#include "stdint.h"#include "USART.h"#include "./MPU6050/MPU6050.h"#include "./MPU6050/MPU6050_Filter.h"void Delay1ms()//@11.0592MHz{unsigned char i, j;_nop_();i = 2;j = 199;do{while (--j);} while (--i);}void Delay_ms(int i){while(i--)Delay1ms();}Second_Order_Filter anglex = {0, 0}, angley = {0, 0}, anglez = {0, 0};void main(void){int16_t aacx,aacy,aacz;//加速度传感器原始数据int16_t gyrox,gyroy,gyroz;//陀螺仪原始数据USART_Init(USART_MODE_1, Rx_ENABLE, STC_USART_Priority_Lowest, 11059200, 57600, DOUBLE_BAUD_ENABLE, USART_TIMER_1);MPU_Init(); MPU6050_Filter_Init(56);while(1){MPU_Get_Accelerometer(&aacx, &aacy, &aacz);//得到加速度传感器数据MPU_Get_Gyroscope(&gyrox, &gyroy, &gyroz);//得到陀螺仪数据printf("%f, " , Second_Order_Filter_Calc(aacy, aacz, gyrox, &anglex));printf("%f, " , Second_Order_Filter_Calc(aacx, aacz, gyroy, &angley));printf("%f\r\n",Second_Order_Filter_Calc(aacx, aacy, gyroz, &anglez));}}

效果

只看了俯仰和滚转

Second_Order_Filter_k根据需要,越大跟随越快,越小越平滑

(我参考的大佬有取0.8的,有取10的,我这里取5)。

要根据需要调节

卡尔曼滤波

#include <STC89C5xRC.H>#include "intrins.h"#include "stdint.h"#include "USART.h"#include "./MPU6050/MPU6050.h"#include "./MPU6050/MPU6050_Filter.h"void Delay1ms()//@11.0592MHz{unsigned char i, j;_nop_();i = 2;j = 199;do{while (--j);} while (--i);}void Delay_ms(int i){while(i--)Delay1ms();}MPU_Kalman_Filter anglex = {0};MPU_Kalman_Filter angley = {0};MPU_Kalman_Filter anglez = {0};void main(void){int16_t aacx,aacy,aacz;//加速度传感器原始数据int16_t gyrox,gyroy,gyroz;//陀螺仪原始数据USART_Init(USART_MODE_1, Rx_ENABLE, STC_USART_Priority_Lowest, 11059200, 57600, DOUBLE_BAUD_ENABLE, USART_TIMER_1);MPU_Init(); MPU6050_Filter_Init(76);while(1){MPU_Get_Accelerometer(&aacx, &aacy, &aacz);//得到加速度传感器数据MPU_Get_Gyroscope(&gyrox, &gyroy, &gyroz);//得到陀螺仪数据printf("%f, " , MPU_Kalman_Filter_Calc(aacy, aacz, gyrox, &anglex));printf("%f, " , MPU_Kalman_Filter_Calc(aacx, aacz, gyroy, &angley));printf("%f\r\n",MPU_Kalman_Filter_Calc(aacx, aacy, gyroz, &anglez));}}

效果

只看了俯仰和滚转

Q参数:过程噪声协方差 Q参数调滤波后的曲线平滑程度,Q越小越平滑;

R参数:观测噪声协方差 R参数调整滤波后的曲线与实测曲线的相近程度,R越小越接近(收敛越快)

我参考的大佬有取0.01,0.0003,0.01的,也有取0.001,0.005,0.5的

我这里取

Q_angle=0.05

Q_gyro=0.0003

R_angle=0.01

要根据需要调节

在suhetao/stm32f4_mpu9250中有大神对EKF / UKF / CKF / SRCKF的实现,感兴趣的可以看看。

总结

由于每种滤波器的参数都会极大地影响该滤波器的性能(一阶滤波、二阶滤波各一个参数,卡尔曼滤波三个参数),因此难以互相比较,我建议根据单片机的资源、性能选择要用的滤波器,调参时配合上位机观察立方体的效果和对应波形

【51单片机快速入门指南】4.3.2: MPU6050:一阶互补滤波 二阶互补滤波和卡尔曼滤波获取欧拉角

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