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EstG.A[axis] = (EstG.A[axis] * (float)cfg.gyro_cmpf_factor + accSmooth[axis]) * INV_GYR_CMPF_FACTOR;
转化一下
ACC历史 = （ACC历史 * 400 + ACC当前）/401;这个只是对加速度历史数据和当前数据融合一下，根本没用到陀螺仪，最后求欧拉角度时也没用到这个ACC。
这是计算角度代码
static void getEstimatedAttitude(void)
{
uint32_t axis;
int32_t accMag = 0;
static t_fp_vector EstG;
static t_fp_vector EstM;
#if defined(MG_LPF_FACTOR)
static int16_t mgSmooth[3];
#endif
static float accLPF[3];
static uint32_t previousT;
uint32_t currentT = micros();
float scale, deltaGyroAngle[3];
scale = (currentT - previousT) * GYRO_SCALE;
previousT = currentT;
// Initialization
for (axis = 0; axis < 3; axis++) {
deltaGyroAngle[axis] = gyroADC[axis] * scale;
if (cfg.acc_lpf_factor > 0) {
accLPF[axis] = accLPF[axis] * (1.0f - (1.0f / cfg.acc_lpf_factor)) + accADC[axis] * (1.0f / cfg.acc_lpf_factor);
accSmooth[axis] = accLPF[axis];
} else {
accSmooth[axis] = accADC[axis];
}
accMag += (int32_t)accSmooth[axis] * accSmooth[axis];
if (sensors(SENSOR_MAG)) {
#if defined(MG_LPF_FACTOR)
mgSmooth[axis] = (mgSmooth[axis] * (MG_LPF_FACTOR - 1) + magADC[axis]) / MG_LPF_FACTOR; // LPF for Magnetometer values
#define MAG_VALUE mgSmooth[axis]
#else
#define MAG_VALUE magADC[axis]
#endif
}
}
accMag = accMag * 100 / ((int32_t)acc_1G * acc_1G);
rotateV(&EstG.V, deltaGyroAngle);
if (sensors(SENSOR_MAG))
rotateV(&EstM.V, deltaGyroAngle);
if (abs(accSmooth[ROLL]) < acc_25deg && abs(accSmooth[PITCH]) < acc_25deg && accSmooth[YAW] > 0)
f.SMALL_ANGLES_25 = 1;
else
f.SMALL_ANGLES_25 = 0;
// Apply complimentary filter (Gyro drift correction)
// If accel magnitude >1.4G or <0.6G and ACC vector outside of the limit range => we neutralize the effect of accelerometers in the angle estimation.
// To do that, we just skip filter, as EstV already rotated by Gyro
if ((36 < accMag && accMag < 196) || f.SMALL_ANGLES_25) {
for (axis = 0; axis < 3; axis++)
EstG.A[axis] = (EstG.A[axis] * (float)cfg.gyro_cmpf_factor + accSmooth[axis]) * INV_GYR_CMPF_FACTOR;
}
if (sensors(SENSOR_MAG)) {
for (axis = 0; axis < 3; axis++)
EstM.A[axis] = (EstM.A[axis] * GYR_CMPFM_FACTOR + MAG_VALUE) * INV_GYR_CMPFM_FACTOR;
}
// Attitude of the estimated vector
angle[ROLL] = _atan2f(EstG.V.X, EstG.V.Z);
angle[PITCH] = _atan2f(EstG.V.Y, EstG.V.Z);
#ifdef MAG
if (sensors(SENSOR_MAG)) {
// Attitude of the cross product vector GxM
heading = _atan2f(EstG.V.X * EstM.V.Z - EstG.V.Z * EstM.V.X, EstG.V.Z * EstM.V.Y - EstG.V.Y * EstM.V.Z);
heading = heading + magneticDeclination;
heading = heading / 10;
if (heading > 180)
heading = heading - 360;
else if (heading < -180)
heading = heading + 360;
}
#endif
}
// Rotate Estimated vector(s) with small angle approximation, according to the gyro data
void rotateV(struct fp_vector *v, float *delta)
{
struct fp_vector v_tmp = *v;
v->Z -= delta[ROLL] * v_tmp.X + delta[PITCH] * v_tmp.Y;
v->X += delta[ROLL] * v_tmp.Z - delta[YAW] * v_tmp.Y;
v->Y += delta[PITCH] * v_tmp.Z + delta[YAW] * v_tmp.X;
}
EstG.A数据 跟EstG.V数据都是分开的，根本没有一点联系，EstG.V这个是通过陀螺仪角度经过旋转矩阵求得的角度，EstG.A完全就是融合一下加速度值，然后就什么也不做了，求角度什么的都是用的EstG.V，
那么对加速度融合计算到底是干什么的，互补不应该是（EstG.V*400 + EstG.A）/401=（陀螺仪角度*400+加速度角度）/401吗？ |
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发表于 2014-11-5 23:36:24
楼主
