使用了网上的融合姿态算法，得到的数据波动过大_问答

我用的是arduino mega2560 和一块10 DOF IMU sensor,上面集成了MPU6050和HMC5883L，拷入代码后做了实验，pitch角从0摆到45度再恢复水平，得到的数据绘图如下

，波动太大，请问各位大神我的代码有什么问题呢？代码附上[code]
#include
#include
#include
#include
#include
#include "I2Cdev.h"
#include "MPU6050.h"
#include"math.h"
#define Kp 2.0f
#define Ki 0.001f

#define halfT 0.3f
//----------------------------------------------------------------------------------------------------
// Variable definitions
float q0 = 1, q1 = 0, q2 = 0, q3 = 0;
float exInt = 0, eyInt = 0, ezInt = 0,pitch,yaw,;
const int SampleTime=600;

MPU6050 accelgyro;

int ax,ay,az;
int16_t gx,gy,gz;
float angles[3]; // yaw pitch roll
float heading,mx,my,mz;
float Ax,Ay,Az,Gx,Gy,Gz;
short temperature;
long pressure;

// Set the FreeSixIMU object
FreeSixIMU sixDOF = FreeSixIMU();

HMC5883L compass;
// Record any errors that may occur in the compass.
int error = 0;

void setup(){

  Serial.begin(115200);
  Wire.begin();

  delay(5);
  sixDOF.init(); //init the Acc and Gyro
  delay(5);
  compass = HMC5883L(); // init HMC5883
  accelgyro.initialize();

  error = compass.SetScale(1.3); // Set the scale of the compass.
  error = compass.SetMeasurementMode(Measurement_Continuous); // Set the measurement mode to Continuous
  if(error != 0) // If there is an error, print it out.
Serial.println(compass.GetErrorText(error));

  bmp085Calibration(); // init barometric pressure sensor

}

void loop(){
  accelgyro.getMotion6(&ax, &ay, &az, &gx, &gy, &gz);
  Ax=(float)ax/16384;
Ay=(float)ay/16384;
Az=(float)az/16384;
Gx=(gx/32.8+6)/57.3;
Gy=(gy/32.8-5)/57.3;
  Gz=(gz/32.8-155)/57.3;
  temperature = bmp085GetTemperature(bmp085ReadUT());
  pressure = bmp085GetPressure(bmp085ReadUP());
  MagnetometerRaw raw = compass.ReadRawAxis();
  MagnetometerScaled scaled = compass.ReadScaledAxis();
mx=scaled.XAxis;
my=scaled.YAxis;
mz=scaled.ZAxis;
  AHRSupdate(Gx,Gy,Gz,Ax,Ay,Az/*,mx,my,mz*/);
  PrintData();

  delay(0);
}

void PrintData(){


  Serial.print(pitch);
  Serial.println("  ");


}
// Function
void AHRSupdate(float gx, float gy, float gz, float ax, float ay, float az/*, float mx, float my, float mz*/) {
unsigned long now,timeChange;
static unsigned long lastTime=0;
  now = micros();                               //us
  timeChange =now - lastTime;
  if(timeChange>=SampleTime){
lastTime = now;

  float norm;
float hx, hy, hz, bx, bz;
float vx, vy, vz, wx, wy, wz;
float ex, ey, ez,lastex,lastey,lastez;

float q0q0 = q0*q0;
float q0q1 = q0*q1;
float q0q2 = q0*q2;
float q0q3 = q0*q3;
float q1q1 = q1*q1;
float q1q2 = q1*q2;
float q1q3 = q1*q3;
float q2q2 = q2*q2;
float q2q3 = q2*q3;
float q3q3 = q3*q3;

norm = sqrt(ax*ax + ay*ay + az*az);
ax = ax / norm;
ay = ay / norm;
az = az / norm;
norm = sqrt(mx*mx + my*my + mz*mz);
mx = mx / norm;
my = my / norm;
mz = mz / norm;

hx = 2*mx*(0.5 - q2q2 - q3q3) + 2*my*(q1q2 - q0q3) + 2*mz*(q1q3 + q0q2);
hy = 2*mx*(q1q2 + q0q3) + 2*my*(0.5 - q1q1 - q3q3) + 2*mz*(q2q3 - q0q1);
hz = 2*mx*(q1q3 - q0q2) + 2*my*(q2q3 + q0q1) + 2*mz*(0.5 - q1q1 - q2q2);
bx = sqrt((hx*hx) + (hy*hy));
bz = hz;

vx = 2*(q1q3 - q0q2);
vy = 2*(q0q1 + q2q3);
vz = q0q0 - q1q1 - q2q2 + q3q3;

wx = 2*bx*(0.5 - q2q2 - q3q3) + 2*bz*(q1q3 - q0q2);
wy = 2*bx*(q1q2 - q0q3) + 2*bz*(q0q1 + q2q3);
wz = 2*bx*(q0q2 + q1q3) + 2*bz*(0.5 - q1q1 - q2q2);

ex = (ay*vz - az*vy) + (my*wz - mz*wy);
ey = (az*vx - ax*vz) + (mz*wx - mx*wz);
ez = (ax*vy - ay*vx) + (mx*wy - my*wx);

exInt = exInt + ex*Ki;
eyInt = eyInt + ey*Ki;
ezInt = ezInt + ez*Ki;

gx = gx + Kp*ex + exInt;
gy = gy + (Kp*ey + eyInt);
gz = gz + (Kp*ez + ezInt);

q0 = q0 + (-q1*gx - q2*gy - q3*gz)*halfT;
q1 = q1 + (q0*gx + q2*gz - q3*gy)*halfT;
q2 = q2 + (q0*gy - q1*gz + q3*gx)*halfT;
q3 = q3 + (q0*gz + q1*gy - q2*gx)*halfT;

norm = sqrt(q0*q0 + q1*q1 + q2*q2 + q3*q3);
q0 = q0 / norm;
q1 = q1 / norm;
q2 = q2 / norm;
q3 = q3 / norm;

yaw= atan2(2 * q2 * q3 + 2 * q0 * q1, -2 * q1 * q1 - 2 * q2* q2 + 1)* 57.3;
pitch= asin(-2 * q1 * q3 + 2 * q0* q2)* 57.3;
  }
}
[/code]

使用了网上的融合姿态算法，得到的数据波动过大

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