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Copy pathkalman.py
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81 lines (53 loc) · 2.27 KB
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class KalmanAngle:
def __init__(self):
self.QAngle = 0.001 # Q (ANGLE) unknown uncertainty from the environment
self.QBias = 0.003 # Q (BIAS) unknown uncertainty from the environment. Here - covariance is degree of correlation between variances of the angle and its error/bias.
self.RMeasure = 0.1
self.angle = 0.0
self.bias = 0.0
self.rate = 0.0
self.P=[[0.0,0.0],[0.0,0.0]]
def getAngle(self,newAngle, newRate,dt):
#step 1: Predict new state (for our case - state is angle) from old state + known external influence
self.rate = newRate - self.bias #new_rate is the latest Gyro measurement
self.angle += dt * self.rate
#Step 2: Predict new uncertainty (or covariance) from old uncertainity and unknown uncertainty from the environment.
self.P[0][0] += dt * (dt*self.P[1][1] -self.P[0][1] - self.P[1][0] + self.QAngle)
self.P[0][1] -= dt * self.P[1][1]
self.P[1][0] -= dt * self.P[1][1]
self.P[1][1] += self.QBias * dt
#Step 3: Innovation i.e. predict th next measurement
y = newAngle - self.angle
#Step 4: Innovation covariance i.e. error in prediction
s = self.P[0][0] + self.RMeasure
#Step 5: Calculate Kalman Gain
K=[0.0,0.0]
K[0] = self.P[0][0]/s
K[1] = self.P[1][0]/s
#Step 6: Update the Angle
self.angle += K[0] * y
self.bias += K[1] * y
#Step 7: Calculate estimation error covariance - Update the error covariance
P00Temp = self.P[0][0]
P01Temp = self.P[0][1]
self.P[0][0] -= K[0] * P00Temp
self.P[0][1] -= K[0] * P01Temp
self.P[1][0] -= K[1] * P00Temp
self.P[1][1] -= K[1] * P01Temp
return self.angle
def setAngle(self,angle):
self.angle = angle
def setQAngle(self,QAngle):
self.QAngle = QAngle
def setQBias(self,QBias):
self.QBias = QBias
def setRMeasure(self,RMeasure):
self.RMeasure = RMeasure
def getRate():
return self.rate
def getQAngle():
return self.QAngle
def getQBias():
return self.QBias
def getRMeasure():
return self.RMeasure