实例介绍
#include "Wire.h"
#include "I2Cdev.h"
#include "MPU6050.h"
MPU6050 accelgyro;
unsigned long now, lastTime = 0;
float dt; //微分时间
int16_t ax, ay, az, gx, gy, gz; //加速度计陀螺仪原始数据
float aax=0, aay=0,aaz=0, agx=0, agy=0, agz=0; //角度变量
long axo = 0, ayo = 0, azo = 0; //加速度计偏移量
long gxo = 0, gyo = 0, gzo = 0; //陀螺仪偏移量
float pi = 3.1415926;
float AcceRatio = 16384.0; //加速度计比例系数
float GyroRatio = 131.0; //陀螺仪比例系数
uint8_t n_sample = 8; //加速度计滤波算法采样个数
float aaxs[8] = {0}, aays[8] = {0}, aazs[8] = {0}; //x,y轴采样队列
long aax_sum, aay_sum,aaz_sum; //x,y轴采样和
float a_x[10]={0}, a_y[10]={0},a_z[10]={0} ,g_x[10]={0} ,g_y[10]={0},g_z[10]={0}; //加速度计协方差计算队列
float Px=1, Rx, Kx, Sx, Vx, Qx; //x轴卡尔曼变量
float Py=1, Ry, Ky, Sy, Vy, Qy; //y轴卡尔曼变量
float Pz=1, Rz, Kz, Sz, Vz, Qz; //z轴卡尔曼变量
void setup()
{
Wire.begin();
Serial.begin(115200);
accelgyro.initialize(); //初始化
unsigned short times = 200; //采样次数
for(int i=0;i<times;i )
{
accelgyro.getMotion6(&ax, &ay, &az, &gx, &gy, &gz); //读取六轴原始数值
axo = ax; ayo = ay; azo = az; //采样和
gxo = gx; gyo = gy; gzo = gz;
}
axo /= times; ayo /= times; azo /= times; //计算加速度计偏移
gxo /= times; gyo /= times; gzo /= times; //计算陀螺仪偏移
}
void loop()
{
unsigned long now = millis(); //当前时间(ms)
dt = (now - lastTime) / 1000.0; //微分时间(s)
lastTime = now; //上一次采样时间(ms)
accelgyro.getMotion6(&ax, &ay, &az, &gx, &gy, &gz); //读取六轴原始数值
float accx = ax / AcceRatio; //x轴加速度
float accy = ay / AcceRatio; //y轴加速度
float accz = az / AcceRatio; //z轴加速度
aax = atan(accy / accz) * (-180) / pi; //y轴对于z轴的夹角
aay = atan(accx / accz) * 180 / pi; //x轴对于z轴的夹角
aaz = atan(accz / accy) * 180 / pi; //z轴对于y轴的夹角
aax_sum = 0; // 对于加速度计原始数据的滑动加权滤波算法
aay_sum = 0;
aaz_sum = 0;
for(int i=1;i<n_sample;i )
{
aaxs[i-1] = aaxs[i];
aax_sum = aaxs[i] * i;
aays[i-1] = aays[i];
aay_sum = aays[i] * i;
aazs[i-1] = aazs[i];
aaz_sum = aazs[i] * i;
}
aaxs[n_sample-1] = aax;
aax_sum = aax * n_sample;
aax = (aax_sum / (11*n_sample/2.0)) * 9 / 7.0; //角度调幅至0-90°
aays[n_sample-1] = aay; //此处应用实验法取得合适的系数
aay_sum = aay * n_sample; //本例系数为9/7
aay = (aay_sum / (11*n_sample/2.0)) * 9 / 7.0;
aazs[n_sample-1] = aaz;
aaz_sum = aaz * n_sample;
aaz = (aaz_sum / (11*n_sample/2.0)) * 9 / 7.0;
float gyrox = - (gx-gxo) / GyroRatio * dt; //x轴角速度
float gyroy = - (gy-gyo) / GyroRatio * dt; //y轴角速度
float gyroz = - (gz-gzo) / GyroRatio * dt; //z轴角速度
agx = gyrox; //x轴角速度积分
agy = gyroy; //x轴角速度积分
agz = gyroz;
/* kalman start */
Sx = 0; Rx = 0;
Sy = 0; Ry = 0;
Sz = 0; Rz = 0;
for(int i=1;i<10;i )
{ //测量值平均值运算
a_x[i-1] = a_x[i]; //即加速度平均值
Sx = a_x[i];
a_y[i-1] = a_y[i];
Sy = a_y[i];
a_z[i-1] = a_z[i];
Sz = a_z[i];
}
a_x[9] = aax;
Sx = aax;
Sx /= 10; //x轴加速度平均值
a_y[9] = aay;
Sy = aay;
Sy /= 10; //y轴加速度平均值
a_z[9] = aaz;
Sz = aaz;
Sz /= 10;
for(int i=0;i<10;i )
{
Rx = sq(a_x[i] - Sx);
Ry = sq(a_y[i] - Sy);
Rz = sq(a_z[i] - Sz);
}
Rx = Rx / 9; //得到方差
Ry = Ry / 9;
Rz = Rz / 9;
Px = Px 0.0025; // 0.0025在下面有说明...
Kx = Px / (Px Rx); //计算卡尔曼增益
agx = agx Kx * (aax - agx); //陀螺仪角度与加速度计速度叠加
Px = (1 - Kx) * Px; //更新p值
Py = Py 0.0025;
Ky = Py / (Py Ry);
agy = agy Ky * (aay - agy);
Py = (1 - Ky) * Py;
Pz = Pz 0.0025;
Kz = Pz / (Pz Rz);
agz = agz Kz * (aaz - agz);
Pz = (1 - Kz) * Pz;
/* kalman end */
Serial.print(agx);Serial.print(",");
Serial.print(agy);Serial.print(",");
Serial.print(agz);Serial.println();
}
#include "I2Cdev.h"
#include "MPU6050.h"
MPU6050 accelgyro;
unsigned long now, lastTime = 0;
float dt; //微分时间
int16_t ax, ay, az, gx, gy, gz; //加速度计陀螺仪原始数据
float aax=0, aay=0,aaz=0, agx=0, agy=0, agz=0; //角度变量
long axo = 0, ayo = 0, azo = 0; //加速度计偏移量
long gxo = 0, gyo = 0, gzo = 0; //陀螺仪偏移量
float pi = 3.1415926;
float AcceRatio = 16384.0; //加速度计比例系数
float GyroRatio = 131.0; //陀螺仪比例系数
uint8_t n_sample = 8; //加速度计滤波算法采样个数
float aaxs[8] = {0}, aays[8] = {0}, aazs[8] = {0}; //x,y轴采样队列
long aax_sum, aay_sum,aaz_sum; //x,y轴采样和
float a_x[10]={0}, a_y[10]={0},a_z[10]={0} ,g_x[10]={0} ,g_y[10]={0},g_z[10]={0}; //加速度计协方差计算队列
float Px=1, Rx, Kx, Sx, Vx, Qx; //x轴卡尔曼变量
float Py=1, Ry, Ky, Sy, Vy, Qy; //y轴卡尔曼变量
float Pz=1, Rz, Kz, Sz, Vz, Qz; //z轴卡尔曼变量
void setup()
{
Wire.begin();
Serial.begin(115200);
accelgyro.initialize(); //初始化
unsigned short times = 200; //采样次数
for(int i=0;i<times;i )
{
accelgyro.getMotion6(&ax, &ay, &az, &gx, &gy, &gz); //读取六轴原始数值
axo = ax; ayo = ay; azo = az; //采样和
gxo = gx; gyo = gy; gzo = gz;
}
axo /= times; ayo /= times; azo /= times; //计算加速度计偏移
gxo /= times; gyo /= times; gzo /= times; //计算陀螺仪偏移
}
void loop()
{
unsigned long now = millis(); //当前时间(ms)
dt = (now - lastTime) / 1000.0; //微分时间(s)
lastTime = now; //上一次采样时间(ms)
accelgyro.getMotion6(&ax, &ay, &az, &gx, &gy, &gz); //读取六轴原始数值
float accx = ax / AcceRatio; //x轴加速度
float accy = ay / AcceRatio; //y轴加速度
float accz = az / AcceRatio; //z轴加速度
aax = atan(accy / accz) * (-180) / pi; //y轴对于z轴的夹角
aay = atan(accx / accz) * 180 / pi; //x轴对于z轴的夹角
aaz = atan(accz / accy) * 180 / pi; //z轴对于y轴的夹角
aax_sum = 0; // 对于加速度计原始数据的滑动加权滤波算法
aay_sum = 0;
aaz_sum = 0;
for(int i=1;i<n_sample;i )
{
aaxs[i-1] = aaxs[i];
aax_sum = aaxs[i] * i;
aays[i-1] = aays[i];
aay_sum = aays[i] * i;
aazs[i-1] = aazs[i];
aaz_sum = aazs[i] * i;
}
aaxs[n_sample-1] = aax;
aax_sum = aax * n_sample;
aax = (aax_sum / (11*n_sample/2.0)) * 9 / 7.0; //角度调幅至0-90°
aays[n_sample-1] = aay; //此处应用实验法取得合适的系数
aay_sum = aay * n_sample; //本例系数为9/7
aay = (aay_sum / (11*n_sample/2.0)) * 9 / 7.0;
aazs[n_sample-1] = aaz;
aaz_sum = aaz * n_sample;
aaz = (aaz_sum / (11*n_sample/2.0)) * 9 / 7.0;
float gyrox = - (gx-gxo) / GyroRatio * dt; //x轴角速度
float gyroy = - (gy-gyo) / GyroRatio * dt; //y轴角速度
float gyroz = - (gz-gzo) / GyroRatio * dt; //z轴角速度
agx = gyrox; //x轴角速度积分
agy = gyroy; //x轴角速度积分
agz = gyroz;
/* kalman start */
Sx = 0; Rx = 0;
Sy = 0; Ry = 0;
Sz = 0; Rz = 0;
for(int i=1;i<10;i )
{ //测量值平均值运算
a_x[i-1] = a_x[i]; //即加速度平均值
Sx = a_x[i];
a_y[i-1] = a_y[i];
Sy = a_y[i];
a_z[i-1] = a_z[i];
Sz = a_z[i];
}
a_x[9] = aax;
Sx = aax;
Sx /= 10; //x轴加速度平均值
a_y[9] = aay;
Sy = aay;
Sy /= 10; //y轴加速度平均值
a_z[9] = aaz;
Sz = aaz;
Sz /= 10;
for(int i=0;i<10;i )
{
Rx = sq(a_x[i] - Sx);
Ry = sq(a_y[i] - Sy);
Rz = sq(a_z[i] - Sz);
}
Rx = Rx / 9; //得到方差
Ry = Ry / 9;
Rz = Rz / 9;
Px = Px 0.0025; // 0.0025在下面有说明...
Kx = Px / (Px Rx); //计算卡尔曼增益
agx = agx Kx * (aax - agx); //陀螺仪角度与加速度计速度叠加
Px = (1 - Kx) * Px; //更新p值
Py = Py 0.0025;
Ky = Py / (Py Ry);
agy = agy Ky * (aay - agy);
Py = (1 - Ky) * Py;
Pz = Pz 0.0025;
Kz = Pz / (Pz Rz);
agz = agz Kz * (aaz - agz);
Pz = (1 - Kz) * Pz;
/* kalman end */
Serial.print(agx);Serial.print(",");
Serial.print(agy);Serial.print(",");
Serial.print(agz);Serial.println();
}
好例子网口号:伸出你的我的手 — 分享!
小贴士
感谢您为本站写下的评论,您的评论对其它用户来说具有重要的参考价值,所以请认真填写。
- 类似“顶”、“沙发”之类没有营养的文字,对勤劳贡献的楼主来说是令人沮丧的反馈信息。
- 相信您也不想看到一排文字/表情墙,所以请不要反馈意义不大的重复字符,也请尽量不要纯表情的回复。
- 提问之前请再仔细看一遍楼主的说明,或许是您遗漏了。
- 请勿到处挖坑绊人、招贴广告。既占空间让人厌烦,又没人会搭理,于人于己都无利。
关于好例子网
本站旨在为广大IT学习爱好者提供一个非营利性互相学习交流分享平台。本站所有资源都可以被免费获取学习研究。本站资源来自网友分享,对搜索内容的合法性不具有预见性、识别性、控制性,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,平台无法对用户传输的作品、信息、内容的权属或合法性、安全性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论平台是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二与二十三条之规定,若资源存在侵权或相关问题请联系本站客服人员,点此联系我们。关于更多版权及免责申明参见 版权及免责申明
网友评论
我要评论