我使用陀螺和加速度计的互补滤波器只是为了方位角...我已经从这个网站获得了它:http://www.thousand-thoughts.com/2012/03/android-sensor-fusion-tutorial/1/
过滤器的核心是:
/*
* Fix for 179° <--> -179° transition problem:
* Check whether one of the two orientation angles (gyro or accMag) is negative while the other one is positive.
* If so, add 360° (2 * math.PI) to the negative value, perform the sensor fusion, and remove the 360° from the result
* if it is greater than 180°. This stabilizes the output in positive-to-negative-transition cases.
*/
// azimuth
if (gyroOrientation[0] < -0.5 * Math.PI && accMagOrientation[0] > 0.0) {
fusedOrientation[0] = (float) (FILTER_COEFFICIENT * (gyroOrientation[0] + 2.0 * Math.PI) + oneMinusCoeff * accMagOrientation[0]);
fusedOrientation[0] -= (fusedOrientation[0] > Math.PI) ? 2.0 * Math.PI : 0;
Log.d("test","gyro Is Negative");
}
else if (accMagOrientation[0] < -0.5 * Math.PI && gyroOrientation[0] > 0.0) {
fusedOrientation[0] = (float) (FILTER_COEFFICIENT * gyroOrientation[0] + oneMinusCoeff * (accMagOrientation[0] + 2.0 * Math.PI));
fusedOrientation[0] -= (fusedOrientation[0] > Math.PI)? 2.0 * Math.PI : 0;
Log.d("test","accel Is Negative");
}
else {
fusedOrientation[0] = FILTER_COEFFICIENT * gyroOrientation[0] + oneMinusCoeff * accMagOrientation[0];
}
gyroMatrix = getRotationMatrixFromOrientation(fusedOrientation);
System.arraycopy(fusedOrientation, 0, gyroOrientation, 0, 3);
我想将它与漂移的真实陀螺数据进行比较...... 为此,我使用了gyroOreintationReal ...并添加了一些代码来保存gyroOreintation,如下所示:
if(initState) {
float[] initMatrix = new float[9];
initMatrix = getRotationMatrixFromOrientation(accMagOrientation);
float[] test = new float[3];
SensorManager.getOrientation(initMatrix, test);
gyroMatrix = matrixMultiplication(gyroMatrix, initMatrix);
gyroMatrixReal = matrixMultiplication(gyroMatrixReal, initMatrix);
initState = false;
}
// copy the new gyro values into the gyro array
// convert the raw gyro data into a rotation vector
float[] deltaVector = new float[4];
float[] deltaVectorReal = new float[4];
if(timestamp != 0) {
final float dT = (event.timestamp - timestamp) * NS2S;
System.arraycopy(event.values, 0, gyro, 0, 3);
System.arraycopy(event.values, 0, gyroReal, 0, 3);
getRotationVectorFromGyro(gyro, deltaVector, dT / 2.0f);
getRotationVectorFromGyro(gyroReal, deltaVectorReal, dT / 2.0f);
}
// measurement done, save current time for next interval
timestamp = event.timestamp;
// convert rotation vector into rotation matrix
float[] deltaMatrix = new float[9];
float[] deltaMatrixReal = new float[9];
SensorManager.getRotationMatrixFromVector(deltaMatrix, deltaVector);
SensorManager.getRotationMatrixFromVector(deltaMatrixReal, deltaVectorReal);
// apply the new rotation interval on the gyroscope based rotation matrix
gyroMatrix = matrixMultiplication(gyroMatrix, deltaMatrix);
gyroMatrixReal = matrixMultiplication(gyroMatrixReal, deltaMatrixReal);
// get the gyroscope based orientation from the rotation matrix
SensorManager.getOrientation(gyroMatrix, gyroOrientation);
SensorManager.getOrientation(gyroMatrixReal, gyroOrientationReal);
我保存了结果并用matlab绘制了它们......但是图表显示陀螺的方向是负的...但是fuseOreientation小于+150并且加速方向略大于+150。 ..
我该如何解决问题? 我在补充过滤器的核心添加了一些代码:
//RealGyro
if (gyroOrientationReal[0] < -0.5 * Math.PI && accMagOrientation[0] > 0.0) {
gyroOrientationReal[0] = (float) (gyroOrientation[0] + 2.0 * Math.PI);
gyroOrientationReal[0] -= (gyroOrientationReal[0] > Math.PI) ? 2.0 * Math.PI : 0;
}
它有时候确定但是如果我有负的加速数据和正陀螺数据,我不知道该怎么办?
答案 0 :(得分:0)
当我试图将手机旋转360度时......我从matlab得到了这个情节: http://www.uppic.com/uploads/14205374821.jpg
绿色单独用于陀螺仪,红色用于融合方向,蓝色用于加速。
答案 1 :(得分:0)
您发布的图片的链接不起作用,因此我无法从matlab查看该图。 陀螺仪漂移不会为数据添加任何时间偏移。也许偏移是由一些内部延迟(不可能)引起的,或者更可能是由算法中的延迟引起的。我无法确切地说,因为我看不到,时间偏移有多大。
如果您想要陀螺仪数据,则无需添加到补充滤波器中。所有陀螺仪数据应该已经在gyroOrientationReal
向量中。无需进一步处理。真正的陀螺仪数据不应受accMagOrientation
的影响(如果gyroOrientationReal
更改为accMagOrientation[0] > 0.0
,则会影响您。
如果你想从[0,360]期间到[0,180,-180,0]期间,你只需要从你的结果中减去180,你就完成了。
我希望我可以帮助你。