use of spacegraph.space2d.phys.common.Mat22 in project narchy by automenta.
the class FrictionJoint method initVelocityConstraints.
/**
* @see Joint#initVelocityConstraints(org.jbox2d.dynamics.TimeStep)
*/
@Override
public void initVelocityConstraints(final SolverData data) {
m_indexA = A.island;
m_indexB = B.island;
m_localCenterA.set(A.sweep.localCenter);
m_localCenterB.set(B.sweep.localCenter);
m_invMassA = A.m_invMass;
m_invMassB = B.m_invMass;
m_invIA = A.m_invI;
m_invIB = B.m_invI;
float aA = data.positions[m_indexA].a;
v2 vA = data.velocities[m_indexA];
float wA = data.velocities[m_indexA].w;
float aB = data.positions[m_indexB].a;
v2 vB = data.velocities[m_indexB];
float wB = data.velocities[m_indexB].w;
final Tuple2f temp = pool.popVec2();
final Rot qA = pool.popRot();
final Rot qB = pool.popRot();
qA.set(aA);
qB.set(aB);
// Compute the effective mass matrix.
Rot.mulToOutUnsafe(qA, temp.set(m_localAnchorA).subbed(m_localCenterA), m_rA);
Rot.mulToOutUnsafe(qB, temp.set(m_localAnchorB).subbed(m_localCenterB), m_rB);
// J = [-I -r1_skew I r2_skew]
// [ 0 -1 0 1]
// r_skew = [-ry; rx]
// Matlab
// K = [ mA+r1y^2*iA+mB+r2y^2*iB, -r1y*iA*r1x-r2y*iB*r2x, -r1y*iA-r2y*iB]
// [ -r1y*iA*r1x-r2y*iB*r2x, mA+r1x^2*iA+mB+r2x^2*iB, r1x*iA+r2x*iB]
// [ -r1y*iA-r2y*iB, r1x*iA+r2x*iB, iA+iB]
float mA = m_invMassA, mB = m_invMassB;
float iA = m_invIA, iB = m_invIB;
final Mat22 K = pool.popMat22();
K.ex.x = mA + mB + iA * m_rA.y * m_rA.y + iB * m_rB.y * m_rB.y;
K.ex.y = -iA * m_rA.x * m_rA.y - iB * m_rB.x * m_rB.y;
K.ey.x = K.ex.y;
K.ey.y = mA + mB + iA * m_rA.x * m_rA.x + iB * m_rB.x * m_rB.x;
K.invertToOut(m_linearMass);
m_angularMass = iA + iB;
if (m_angularMass > 0.0f) {
m_angularMass = 1.0f / m_angularMass;
}
if (data.step.warmStarting) {
// Scale impulses to support a variable time step.
m_linearImpulse.scaled(data.step.dtRatio);
m_angularImpulse *= data.step.dtRatio;
final Tuple2f P = pool.popVec2();
P.set(m_linearImpulse);
temp.set(P).scaled(mA);
vA.subbed(temp);
wA -= iA * (Tuple2f.cross(m_rA, P) + m_angularImpulse);
temp.set(P).scaled(mB);
vB.added(temp);
wB += iB * (Tuple2f.cross(m_rB, P) + m_angularImpulse);
pool.pushVec2(1);
} else {
m_linearImpulse.setZero();
m_angularImpulse = 0.0f;
}
// data.velocities[m_indexA].v.set(vA);
assert !(data.velocities[m_indexA].w != wA) || (data.velocities[m_indexA].w != wA);
data.velocities[m_indexA].w = wA;
// data.velocities[m_indexB].v.set(vB);
data.velocities[m_indexB].w = wB;
pool.pushRot(2);
pool.pushVec2(1);
pool.pushMat22(1);
}
use of spacegraph.space2d.phys.common.Mat22 in project narchy by automenta.
the class MotorJoint method initVelocityConstraints.
@Override
public void initVelocityConstraints(SolverData data) {
m_indexA = A.island;
m_indexB = B.island;
m_localCenterA.set(A.sweep.localCenter);
m_localCenterB.set(B.sweep.localCenter);
m_invMassA = A.m_invMass;
m_invMassB = B.m_invMass;
m_invIA = A.m_invI;
m_invIB = B.m_invI;
final Tuple2f cA = data.positions[m_indexA];
float aA = data.positions[m_indexA].a;
final Tuple2f vA = data.velocities[m_indexA];
float wA = data.velocities[m_indexA].w;
final Tuple2f cB = data.positions[m_indexB];
float aB = data.positions[m_indexB].a;
final Tuple2f vB = data.velocities[m_indexB];
float wB = data.velocities[m_indexB].w;
final Rot qA = pool.popRot();
final Rot qB = pool.popRot();
final Tuple2f temp = new v2();
Mat22 K = pool.popMat22();
qA.set(aA);
qB.set(aB);
// Compute the effective mass matrix.
// m_rA = b2Mul(qA, -m_localCenterA);
// m_rB = b2Mul(qB, -m_localCenterB);
m_rA.x = qA.c * -m_localCenterA.x - qA.s * -m_localCenterA.y;
m_rA.y = qA.s * -m_localCenterA.x + qA.c * -m_localCenterA.y;
m_rB.x = qB.c * -m_localCenterB.x - qB.s * -m_localCenterB.y;
m_rB.y = qB.s * -m_localCenterB.x + qB.c * -m_localCenterB.y;
// J = [-I -r1_skew I r2_skew]
// [ 0 -1 0 1]
// r_skew = [-ry; rx]
// Matlab
// K = [ mA+r1y^2*iA+mB+r2y^2*iB, -r1y*iA*r1x-r2y*iB*r2x, -r1y*iA-r2y*iB]
// [ -r1y*iA*r1x-r2y*iB*r2x, mA+r1x^2*iA+mB+r2x^2*iB, r1x*iA+r2x*iB]
// [ -r1y*iA-r2y*iB, r1x*iA+r2x*iB, iA+iB]
float mA = m_invMassA, mB = m_invMassB;
float iA = m_invIA, iB = m_invIB;
K.ex.x = mA + mB + iA * m_rA.y * m_rA.y + iB * m_rB.y * m_rB.y;
K.ex.y = -iA * m_rA.x * m_rA.y - iB * m_rB.x * m_rB.y;
K.ey.x = K.ex.y;
K.ey.y = mA + mB + iA * m_rA.x * m_rA.x + iB * m_rB.x * m_rB.x;
K.invertToOut(m_linearMass);
m_angularMass = iA + iB;
if (m_angularMass > 0.0f) {
m_angularMass = 1.0f / m_angularMass;
}
// m_linearError = cB + m_rB - cA - m_rA - b2Mul(qA, m_linearOffset);
Rot.mulToOutUnsafe(qA, m_linearOffset, temp);
m_linearError.x = cB.x + m_rB.x - cA.x - m_rA.x - temp.x;
m_linearError.y = cB.y + m_rB.y - cA.y - m_rA.y - temp.y;
m_angularError = aB - aA - m_angularOffset;
if (data.step.warmStarting) {
// Scale impulses to support a variable time step.
m_linearImpulse.x *= data.step.dtRatio;
m_linearImpulse.y *= data.step.dtRatio;
m_angularImpulse *= data.step.dtRatio;
final Tuple2f P = m_linearImpulse;
vA.x -= mA * P.x;
vA.y -= mA * P.y;
wA -= iA * (m_rA.x * P.y - m_rA.y * P.x + m_angularImpulse);
vB.x += mB * P.x;
vB.y += mB * P.y;
wB += iB * (m_rB.x * P.y - m_rB.y * P.x + m_angularImpulse);
} else {
m_linearImpulse.setZero();
m_angularImpulse = 0.0f;
}
pool.pushMat22(1);
pool.pushRot(2);
// data.velocities[m_indexA].v = vA;
data.velocities[m_indexA].w = wA;
// data.velocities[m_indexB].v = vB;
data.velocities[m_indexB].w = wB;
}
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