Files
bullet3/examples/pybullet/examples/pdControllerStable.py
erwincoumans ae8e83988b Add preliminary PhysX 4.0 backend for PyBullet
Add inverse dynamics / mass matrix code from DeepMimic, thanks to Xue Bin (Jason) Peng
Add example how to use stable PD control for humanoid with spherical joints (see humanoidMotionCapture.py)
Fix related to TinyRenderer object transforms not updating when using collision filtering
2019-01-22 21:08:37 -08:00

144 lines
4.1 KiB
Python

import numpy as np
class PDControllerStableMultiDof(object):
def __init__(self, pb):
self._pb = pb
def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds, maxForces, timeStep):
numJoints = len(jointIndices)#self._pb.getNumJoints(bodyUniqueId)
curPos,curOrn = self._pb.getBasePositionAndOrientation(bodyUniqueId)
#q1 = [desiredPositions[0],desiredPositions[1],desiredPositions[2],desiredPositions[3],desiredPositions[4],desiredPositions[5],desiredPositions[6]]
q1 = [curPos[0],curPos[1],curPos[2],curOrn[0],curOrn[1],curOrn[2],curOrn[3]]
#qdot1 = [0,0,0, 0,0,0,0]
baseLinVel, baseAngVel = self._pb.getBaseVelocity(bodyUniqueId)
qdot1 = [baseLinVel[0],baseLinVel[1],baseLinVel[2],baseAngVel[0],baseAngVel[1],baseAngVel[2],0]
qError = [0,0,0, 0,0,0,0]
qIndex=7
qdotIndex=7
zeroAccelerations=[0,0,0, 0,0,0,0]
for i in range (numJoints):
js = self._pb.getJointStateMultiDof(bodyUniqueId, jointIndices[i])
jointPos=js[0]
jointVel = js[1]
q1+=jointPos
if len(js[0])==1:
desiredPos=desiredPositions[qIndex]
qdiff=desiredPos - jointPos[0]
qError.append(qdiff)
zeroAccelerations.append(0.)
qdot1+=jointVel
qIndex+=1
qdotIndex+=1
if len(js[0])==4:
desiredPos=[desiredPositions[qIndex],desiredPositions[qIndex+1],desiredPositions[qIndex+2],desiredPositions[qIndex+3]]
axis = self._pb.getAxisDifferenceQuaternion(desiredPos,jointPos)
jointVelNew = [jointVel[0],jointVel[1],jointVel[2],0]
qdot1+=jointVelNew
qError.append(axis[0])
qError.append(axis[1])
qError.append(axis[2])
qError.append(0)
desiredVel=[desiredVelocities[qdotIndex],desiredVelocities[qdotIndex+1],desiredVelocities[qdotIndex+2]]
zeroAccelerations+=[0.,0.,0.,0.]
qIndex+=4
qdotIndex+=4
q = np.array(q1)
qdot=np.array(qdot1)
qdotdesired = np.array(desiredVelocities)
qdoterr = qdotdesired-qdot
Kp = np.diagflat(kps)
Kd = np.diagflat(kds)
p = Kp.dot(qError)
#np.savetxt("pb_qError.csv", qError, delimiter=",")
#np.savetxt("pb_p.csv", p, delimiter=",")
d = Kd.dot(qdoterr)
#np.savetxt("pb_d.csv", d, delimiter=",")
#np.savetxt("pbqdoterr.csv", qdoterr, delimiter=",")
M1 = self._pb.calculateMassMatrix(bodyUniqueId,q1, flags=1)
M2 = np.array(M1)
#np.savetxt("M2.csv", M2, delimiter=",")
M = (M2 + Kd * timeStep)
#np.savetxt("pbM_tKd.csv",M, delimiter=",")
c1 = self._pb.calculateInverseDynamics(bodyUniqueId, q1, qdot1, zeroAccelerations, flags=1)
c = np.array(c1)
#np.savetxt("pbC.csv",c, delimiter=",")
A = M
#p = [0]*43
b = p + d -c
#np.savetxt("pb_acc.csv",b, delimiter=",")
qddot = np.linalg.solve(A, b)
tau = p + d - Kd.dot(qddot) * timeStep
#print("len(tau)=",len(tau))
maxF = np.array(maxForces)
forces = np.clip(tau, -maxF , maxF )
return forces
class PDControllerStable(object):
def __init__(self, pb):
self._pb = pb
def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds, maxForces, timeStep):
numJoints = self._pb.getNumJoints(bodyUniqueId)
jointStates = self._pb.getJointStates(bodyUniqueId, jointIndices)
q1 = []
qdot1 = []
zeroAccelerations = []
for i in range (numJoints):
q1.append(jointStates[i][0])
qdot1.append(jointStates[i][1])
zeroAccelerations.append(0)
q = np.array(q1)
qdot=np.array(qdot1)
qdes = np.array(desiredPositions)
qdotdes = np.array(desiredVelocities)
qError = qdes - q
qdotError = qdotdes - qdot
Kp = np.diagflat(kps)
Kd = np.diagflat(kds)
p = Kp.dot(qError)
d = Kd.dot(qdotError)
forces = p + d
M1 = self._pb.calculateMassMatrix(bodyUniqueId,q1)
M2 = np.array(M1)
M = (M2 + Kd * timeStep)
c1 = self._pb.calculateInverseDynamics(bodyUniqueId, q1, qdot1, zeroAccelerations)
c = np.array(c1)
A = M
b = -c + p + d
qddot = np.linalg.solve(A, b)
tau = p + d - Kd.dot(qddot) * timeStep
maxF = np.array(maxForces)
forces = np.clip(tau, -maxF , maxF )
#print("c=",c)
return tau