use crate::dynamics::solver::DeltaVel; use crate::dynamics::{ IntegrationParameters, JointGraphEdge, JointIndex, JointParams, PrismaticJoint, RigidBody, }; use crate::math::{AngularInertia, Real, Vector}; use crate::utils::{WAngularInertia, WCross, WCrossMatrix, WDot}; #[cfg(feature = "dim3")] use na::{Cholesky, Matrix3x2, Matrix5, Vector5, U2, U3}; #[cfg(feature = "dim2")] use { na::{Matrix2, Vector2}, parry::utils::SdpMatrix2, }; #[cfg(feature = "dim2")] type LinImpulseDim = na::U1; #[cfg(feature = "dim3")] type LinImpulseDim = na::U2; #[derive(Debug)] pub(crate) struct PrismaticVelocityConstraint { mj_lambda1: usize, mj_lambda2: usize, joint_id: JointIndex, r1: Vector, r2: Vector, #[cfg(feature = "dim3")] inv_lhs: Matrix5, #[cfg(feature = "dim3")] rhs: Vector5, #[cfg(feature = "dim3")] impulse: Vector5, #[cfg(feature = "dim2")] inv_lhs: Matrix2, #[cfg(feature = "dim2")] rhs: Vector2, #[cfg(feature = "dim2")] impulse: Vector2, motor_axis1: Vector, motor_axis2: Vector, motor_impulse: Real, motor_rhs: Real, motor_inv_lhs: Real, motor_max_impulse: Real, limits_active: bool, limits_impulse: Real, /// World-coordinate direction of the limit force on rb2. /// The force direction on rb1 is opposite (Newton's third law).. limits_forcedir2: Vector, limits_rhs: Real, limits_inv_lhs: Real, /// min/max applied impulse due to limits limits_impulse_limits: (Real, Real), #[cfg(feature = "dim2")] basis1: Vector2, #[cfg(feature = "dim3")] basis1: Matrix3x2, im1: Real, im2: Real, ii1_sqrt: AngularInertia, ii2_sqrt: AngularInertia, } impl PrismaticVelocityConstraint { pub fn from_params( params: &IntegrationParameters, joint_id: JointIndex, rb1: &RigidBody, rb2: &RigidBody, joint: &PrismaticJoint, ) -> Self { // Linear part. let anchor1 = rb1.position * joint.local_anchor1; let anchor2 = rb2.position * joint.local_anchor2; let axis1 = rb1.position * joint.local_axis1; let axis2 = rb2.position * joint.local_axis2; #[cfg(feature = "dim2")] let basis1 = rb1.position * joint.basis1[0]; #[cfg(feature = "dim3")] let basis1 = Matrix3x2::from_columns(&[ rb1.position * joint.basis1[0], rb1.position * joint.basis1[1], ]); let im1 = rb1.effective_inv_mass; let ii1 = rb1.effective_world_inv_inertia_sqrt.squared(); let r1 = anchor1 - rb1.world_com; let r1_mat = r1.gcross_matrix(); let im2 = rb2.effective_inv_mass; let ii2 = rb2.effective_world_inv_inertia_sqrt.squared(); let r2 = anchor2 - rb2.world_com; let r2_mat = r2.gcross_matrix(); #[allow(unused_mut)] // For 2D. let mut lhs; #[cfg(feature = "dim3")] { let r1_mat_b1 = r1_mat * basis1; let r2_mat_b1 = r2_mat * basis1; lhs = Matrix5::zeros(); let lhs00 = ii1.quadform3x2(&r1_mat_b1).add_diagonal(im1) + ii2.quadform3x2(&r2_mat_b1).add_diagonal(im2); let lhs10 = ii1 * r1_mat_b1 + ii2 * r2_mat_b1; let lhs11 = (ii1 + ii2).into_matrix(); lhs.fixed_slice_mut::(0, 0) .copy_from(&lhs00.into_matrix()); lhs.fixed_slice_mut::(2, 0).copy_from(&lhs10); lhs.fixed_slice_mut::(2, 2).copy_from(&lhs11); } #[cfg(feature = "dim2")] { let b1r1 = basis1.dot(&r1_mat); let b2r2 = basis1.dot(&r2_mat); let m11 = im1 + im2 + b1r1 * ii1 * b1r1 + b2r2 * ii2 * b2r2; let m12 = basis1.dot(&r1_mat) * ii1 + basis1.dot(&r2_mat) * ii2; let m22 = ii1 + ii2; lhs = SdpMatrix2::new(m11, m12, m22); } let anchor_linvel1 = rb1.linvel + rb1.angvel.gcross(r1); let anchor_linvel2 = rb2.linvel + rb2.angvel.gcross(r2); // NOTE: we don't use Cholesky in 2D because we only have a 2x2 matrix // for which a textbook inverse is still efficient. #[cfg(feature = "dim2")] let inv_lhs = lhs.inverse_unchecked().into_matrix(); #[cfg(feature = "dim3")] let inv_lhs = Cholesky::new_unchecked(lhs).inverse(); let linvel_err = basis1.tr_mul(&(anchor_linvel2 - anchor_linvel1)); let angvel_err = rb2.angvel - rb1.angvel; #[cfg(feature = "dim2")] let mut rhs = Vector2::new(linvel_err.x, angvel_err) * params.velocity_solve_fraction; #[cfg(feature = "dim3")] let mut rhs = Vector5::new( linvel_err.x, linvel_err.y, angvel_err.x, angvel_err.y, angvel_err.z, ) * params.velocity_solve_fraction; let velocity_based_erp_inv_dt = params.velocity_based_erp_inv_dt(); if velocity_based_erp_inv_dt != 0.0 { let linear_err = basis1.tr_mul(&(anchor2 - anchor1)); let frame1 = rb1.position * joint.local_frame1(); let frame2 = rb2.position * joint.local_frame2(); let ang_err = frame2.rotation * frame1.rotation.inverse(); #[cfg(feature = "dim2")] { rhs += Vector2::new(linear_err.x, ang_err.angle()) * velocity_based_erp_inv_dt; } #[cfg(feature = "dim3")] { let ang_err = ang_err.scaled_axis(); rhs += Vector5::new(linear_err.x, linear_err.y, ang_err.x, ang_err.y, ang_err.z) * velocity_based_erp_inv_dt; } } /* * Setup motor. */ let mut motor_rhs = 0.0; let mut motor_inv_lhs = 0.0; let (stiffness, damping, gamma, keep_lhs) = joint.motor_model.combine_coefficients( params.dt, joint.motor_stiffness, joint.motor_damping, ); if stiffness != 0.0 { let dist = anchor2.coords.dot(&axis2) - anchor1.coords.dot(&axis1); motor_rhs += (dist - joint.motor_target_pos) * stiffness; } if damping != 0.0 { let curr_vel = rb2.linvel.dot(&axis2) - rb1.linvel.dot(&axis1); motor_rhs += (curr_vel - joint.motor_target_vel) * damping; } if stiffness != 0.0 || damping != 0.0 { motor_inv_lhs = if keep_lhs { gamma / (im1 + im2) } else { gamma }; motor_rhs /= gamma; } let motor_impulse = na::clamp( joint.motor_impulse, -joint.motor_max_impulse, joint.motor_max_impulse, ); // Setup limit constraint. let mut limits_active = false; let limits_forcedir2 = axis2.into_inner(); // hopefully axis1 is colinear with axis2 let mut limits_rhs = 0.0; let mut limits_impulse = 0.0; let mut limits_inv_lhs = 0.0; let mut limits_impulse_limits = (0.0, 0.0); if joint.limits_enabled { let danchor = anchor2 - anchor1; let dist = danchor.dot(&axis1); // TODO: we should allow predictive constraint activation. let (min_limit, max_limit) = (joint.limits[0], joint.limits[1]); let min_enabled = dist < min_limit; let max_enabled = max_limit < dist; limits_impulse_limits.0 = if max_enabled { -Real::INFINITY } else { 0.0 }; limits_impulse_limits.1 = if min_enabled { Real::INFINITY } else { 0.0 }; limits_active = min_enabled || max_enabled; if limits_active { limits_rhs = (anchor_linvel2.dot(&axis2) - anchor_linvel1.dot(&axis1)) * params.velocity_solve_fraction; limits_rhs += ((dist - max_limit).max(0.0) - (min_limit - dist).max(0.0)) * velocity_based_erp_inv_dt; let gcross1 = r1.gcross(*axis1); let gcross2 = r2.gcross(*axis2); limits_inv_lhs = crate::utils::inv( im1 + im2 + gcross1.gdot(ii1.transform_vector(gcross1)) + gcross2.gdot(ii2.transform_vector(gcross2)), ); limits_impulse = joint .limits_impulse .max(limits_impulse_limits.0) .min(limits_impulse_limits.1); } } PrismaticVelocityConstraint { joint_id, mj_lambda1: rb1.active_set_offset, mj_lambda2: rb2.active_set_offset, im1, ii1_sqrt: rb1.effective_world_inv_inertia_sqrt, im2, ii2_sqrt: rb2.effective_world_inv_inertia_sqrt, impulse: joint.impulse * params.warmstart_coeff, limits_active, limits_impulse: limits_impulse * params.warmstart_coeff, limits_forcedir2, limits_rhs, limits_inv_lhs, limits_impulse_limits, motor_rhs, motor_inv_lhs, motor_impulse, motor_axis1: *axis1, motor_axis2: *axis2, motor_max_impulse: joint.motor_max_impulse, basis1, inv_lhs, rhs, r1, r2, } } pub fn warmstart(&self, mj_lambdas: &mut [DeltaVel]) { let mut mj_lambda1 = mj_lambdas[self.mj_lambda1 as usize]; let mut mj_lambda2 = mj_lambdas[self.mj_lambda2 as usize]; let lin_impulse = self.basis1 * self.impulse.fixed_rows::(0).into_owned(); #[cfg(feature = "dim2")] let ang_impulse = self.impulse.y; #[cfg(feature = "dim3")] let ang_impulse = self.impulse.fixed_rows::(2).into_owned(); mj_lambda1.linear += self.im1 * lin_impulse; mj_lambda1.angular += self .ii1_sqrt .transform_vector(ang_impulse + self.r1.gcross(lin_impulse)); mj_lambda2.linear -= self.im2 * lin_impulse; mj_lambda2.angular -= self .ii2_sqrt .transform_vector(ang_impulse + self.r2.gcross(lin_impulse)); // Warmstart motors. mj_lambda1.linear += self.motor_axis1 * (self.im1 * self.motor_impulse); mj_lambda2.linear -= self.motor_axis2 * (self.im2 * self.motor_impulse); // Warmstart limits. if self.limits_active { let limit_impulse1 = -self.limits_forcedir2 * self.limits_impulse; let limit_impulse2 = self.limits_forcedir2 * self.limits_impulse; mj_lambda1.linear += self.im1 * limit_impulse1; mj_lambda1.angular += self .ii1_sqrt .transform_vector(self.r1.gcross(limit_impulse1)); mj_lambda2.linear += self.im2 * limit_impulse2; mj_lambda2.angular += self .ii2_sqrt .transform_vector(self.r2.gcross(limit_impulse2)); } mj_lambdas[self.mj_lambda1 as usize] = mj_lambda1; mj_lambdas[self.mj_lambda2 as usize] = mj_lambda2; } fn solve_dofs(&mut self, mj_lambda1: &mut DeltaVel, mj_lambda2: &mut DeltaVel) { let ang_vel1 = self.ii1_sqrt.transform_vector(mj_lambda1.angular); let ang_vel2 = self.ii2_sqrt.transform_vector(mj_lambda2.angular); let lin_vel1 = mj_lambda1.linear + ang_vel1.gcross(self.r1); let lin_vel2 = mj_lambda2.linear + ang_vel2.gcross(self.r2); let lin_dvel = self.basis1.tr_mul(&(lin_vel2 - lin_vel1)); let ang_dvel = ang_vel2 - ang_vel1; #[cfg(feature = "dim2")] let rhs = Vector2::new(lin_dvel.x, ang_dvel) + self.rhs; #[cfg(feature = "dim3")] let rhs = Vector5::new(lin_dvel.x, lin_dvel.y, ang_dvel.x, ang_dvel.y, ang_dvel.z) + self.rhs; let impulse = self.inv_lhs * rhs; self.impulse += impulse; let lin_impulse = self.basis1 * impulse.fixed_rows::(0).into_owned(); #[cfg(feature = "dim2")] let ang_impulse = impulse.y; #[cfg(feature = "dim3")] let ang_impulse = impulse.fixed_rows::(2).into_owned(); mj_lambda1.linear += self.im1 * lin_impulse; mj_lambda1.angular += self .ii1_sqrt .transform_vector(ang_impulse + self.r1.gcross(lin_impulse)); mj_lambda2.linear -= self.im2 * lin_impulse; mj_lambda2.angular -= self .ii2_sqrt .transform_vector(ang_impulse + self.r2.gcross(lin_impulse)); } fn solve_limits(&mut self, mj_lambda1: &mut DeltaVel, mj_lambda2: &mut DeltaVel) { if self.limits_active { let limits_forcedir1 = -self.limits_forcedir2; let limits_forcedir2 = self.limits_forcedir2; let ang_vel1 = self.ii1_sqrt.transform_vector(mj_lambda1.angular); let ang_vel2 = self.ii2_sqrt.transform_vector(mj_lambda2.angular); let lin_dvel = limits_forcedir2.dot(&(mj_lambda2.linear + ang_vel2.gcross(self.r2))) + limits_forcedir1.dot(&(mj_lambda1.linear + ang_vel1.gcross(self.r1))) + self.limits_rhs; let new_impulse = (self.limits_impulse - lin_dvel * self.limits_inv_lhs) .max(self.limits_impulse_limits.0) .min(self.limits_impulse_limits.1); let dimpulse = new_impulse - self.limits_impulse; self.limits_impulse = new_impulse; let lin_impulse1 = limits_forcedir1 * dimpulse; let lin_impulse2 = limits_forcedir2 * dimpulse; mj_lambda1.linear += self.im1 * lin_impulse1; mj_lambda1.angular += self.ii1_sqrt.transform_vector(self.r1.gcross(lin_impulse1)); mj_lambda2.linear += self.im2 * lin_impulse2; mj_lambda2.angular += self.ii2_sqrt.transform_vector(self.r2.gcross(lin_impulse2)); } } fn solve_motors(&mut self, mj_lambda1: &mut DeltaVel, mj_lambda2: &mut DeltaVel) { if self.motor_inv_lhs != 0.0 { let lin_dvel = self.motor_axis2.dot(&mj_lambda2.linear) - self.motor_axis1.dot(&mj_lambda1.linear) + self.motor_rhs; let new_impulse = na::clamp( self.motor_impulse + lin_dvel * self.motor_inv_lhs, -self.motor_max_impulse, self.motor_max_impulse, ); let dimpulse = new_impulse - self.motor_impulse; self.motor_impulse = new_impulse; mj_lambda1.linear += self.motor_axis1 * (self.im1 * dimpulse); mj_lambda2.linear -= self.motor_axis2 * (self.im2 * dimpulse); } } pub fn solve(&mut self, mj_lambdas: &mut [DeltaVel]) { let mut mj_lambda1 = mj_lambdas[self.mj_lambda1 as usize]; let mut mj_lambda2 = mj_lambdas[self.mj_lambda2 as usize]; self.solve_limits(&mut mj_lambda1, &mut mj_lambda2); self.solve_motors(&mut mj_lambda1, &mut mj_lambda2); self.solve_dofs(&mut mj_lambda1, &mut mj_lambda2); mj_lambdas[self.mj_lambda1 as usize] = mj_lambda1; mj_lambdas[self.mj_lambda2 as usize] = mj_lambda2; } pub fn writeback_impulses(&self, joints_all: &mut [JointGraphEdge]) { let joint = &mut joints_all[self.joint_id].weight; if let JointParams::PrismaticJoint(revolute) = &mut joint.params { revolute.impulse = self.impulse; revolute.motor_impulse = self.motor_impulse; revolute.limits_impulse = self.limits_impulse; } } } #[derive(Debug)] pub(crate) struct PrismaticVelocityGroundConstraint { mj_lambda2: usize, joint_id: JointIndex, r2: Vector, #[cfg(feature = "dim2")] inv_lhs: Matrix2, #[cfg(feature = "dim2")] rhs: Vector2, #[cfg(feature = "dim2")] impulse: Vector2, #[cfg(feature = "dim3")] inv_lhs: Matrix5, #[cfg(feature = "dim3")] rhs: Vector5, #[cfg(feature = "dim3")] impulse: Vector5, limits_active: bool, limits_forcedir2: Vector, limits_impulse: Real, limits_rhs: Real, /// min/max applied impulse due to limits limits_impulse_limits: (Real, Real), axis2: Vector, motor_impulse: Real, motor_rhs: Real, motor_inv_lhs: Real, motor_max_impulse: Real, #[cfg(feature = "dim2")] basis1: Vector2, #[cfg(feature = "dim3")] basis1: Matrix3x2, im2: Real, ii2_sqrt: AngularInertia, } impl PrismaticVelocityGroundConstraint { pub fn from_params( params: &IntegrationParameters, joint_id: JointIndex, rb1: &RigidBody, rb2: &RigidBody, joint: &PrismaticJoint, flipped: bool, ) -> Self { let anchor2; let anchor1; let axis2; let axis1; let basis1; if flipped { anchor2 = rb2.position * joint.local_anchor1; anchor1 = rb1.position * joint.local_anchor2; axis2 = rb2.position * joint.local_axis1; axis1 = rb1.position * joint.local_axis2; #[cfg(feature = "dim2")] { basis1 = rb1.position * joint.basis2[0]; } #[cfg(feature = "dim3")] { basis1 = Matrix3x2::from_columns(&[ rb1.position * joint.basis2[0], rb1.position * joint.basis2[1], ]); } } else { anchor2 = rb2.position * joint.local_anchor2; anchor1 = rb1.position * joint.local_anchor1; axis2 = rb2.position * joint.local_axis2; axis1 = rb1.position * joint.local_axis1; #[cfg(feature = "dim2")] { basis1 = rb1.position * joint.basis1[0]; } #[cfg(feature = "dim3")] { basis1 = Matrix3x2::from_columns(&[ rb1.position * joint.basis1[0], rb1.position * joint.basis1[1], ]); } }; // #[cfg(feature = "dim2")] // let r21 = Rotation::rotation_between_axis(&axis1, &axis2) // .to_rotation_matrix() // .into_inner(); // #[cfg(feature = "dim3")] // let r21 = Rotation::rotation_between_axis(&axis1, &axis2) // .unwrap_or_else(Rotation::identity) // .to_rotation_matrix() // .into_inner(); // let basis2 = r21 * basis1; // NOTE: we use basis2 := basis1 for now is that allows // simplifications of the computation without introducing // much instabilities. let im2 = rb2.effective_inv_mass; let ii2 = rb2.effective_world_inv_inertia_sqrt.squared(); let r1 = anchor1 - rb1.world_com; let r2 = anchor2 - rb2.world_com; let r2_mat = r2.gcross_matrix(); #[allow(unused_mut)] // For 2D. let mut lhs; #[cfg(feature = "dim3")] { let r2_mat_b1 = r2_mat * basis1; lhs = Matrix5::zeros(); let lhs00 = ii2.quadform3x2(&r2_mat_b1).add_diagonal(im2); let lhs10 = ii2 * r2_mat_b1; let lhs11 = ii2.into_matrix(); lhs.fixed_slice_mut::(0, 0) .copy_from(&lhs00.into_matrix()); lhs.fixed_slice_mut::(2, 0).copy_from(&lhs10); lhs.fixed_slice_mut::(2, 2).copy_from(&lhs11); } #[cfg(feature = "dim2")] { let b2r2 = basis1.dot(&r2_mat); let m11 = im2 + b2r2 * ii2 * b2r2; let m12 = basis1.dot(&r2_mat) * ii2; let m22 = ii2; lhs = SdpMatrix2::new(m11, m12, m22); } let anchor_linvel1 = rb1.linvel + rb1.angvel.gcross(r1); let anchor_linvel2 = rb2.linvel + rb2.angvel.gcross(r2); // NOTE: we don't use Cholesky in 2D because we only have a 2x2 matrix // for which a textbook inverse is still efficient. #[cfg(feature = "dim2")] let inv_lhs = lhs.inverse_unchecked().into_matrix(); #[cfg(feature = "dim3")] let inv_lhs = Cholesky::new_unchecked(lhs).inverse(); let linvel_err = basis1.tr_mul(&(anchor_linvel2 - anchor_linvel1)); let angvel_err = rb2.angvel - rb1.angvel; #[cfg(feature = "dim2")] let mut rhs = Vector2::new(linvel_err.x, angvel_err) * params.velocity_solve_fraction; #[cfg(feature = "dim3")] let mut rhs = Vector5::new( linvel_err.x, linvel_err.y, angvel_err.x, angvel_err.y, angvel_err.z, ) * params.velocity_solve_fraction; let velocity_based_erp_inv_dt = params.velocity_based_erp_inv_dt(); if velocity_based_erp_inv_dt != 0.0 { let linear_err = basis1.tr_mul(&(anchor2 - anchor1)); let (frame1, frame2); if flipped { frame1 = rb1.position * joint.local_frame2(); frame2 = rb2.position * joint.local_frame1(); } else { frame1 = rb1.position * joint.local_frame1(); frame2 = rb2.position * joint.local_frame2(); } let ang_err = frame2.rotation * frame1.rotation.inverse(); #[cfg(feature = "dim2")] { rhs += Vector2::new(linear_err.x, ang_err.angle()) * velocity_based_erp_inv_dt; } #[cfg(feature = "dim3")] { let ang_err = ang_err.scaled_axis(); rhs += Vector5::new(linear_err.x, linear_err.y, ang_err.x, ang_err.y, ang_err.z) * velocity_based_erp_inv_dt; } } /* * Setup motor. */ let mut motor_rhs = 0.0; let mut motor_inv_lhs = 0.0; let (stiffness, damping, gamma, keep_lhs) = joint.motor_model.combine_coefficients( params.dt, joint.motor_stiffness, joint.motor_damping, ); if stiffness != 0.0 { let dist = anchor2.coords.dot(&axis2) - anchor1.coords.dot(&axis1); motor_rhs += (dist - joint.motor_target_pos) * stiffness; } if damping != 0.0 { let curr_vel = rb2.linvel.dot(&axis2) - rb1.linvel.dot(&axis1); motor_rhs += (curr_vel - joint.motor_target_vel) * damping; } if stiffness != 0.0 || damping != 0.0 { motor_inv_lhs = if keep_lhs { gamma / im2 } else { gamma }; motor_rhs /= gamma; } let motor_impulse = na::clamp( joint.motor_impulse, -joint.motor_max_impulse, joint.motor_max_impulse, ); /* * Setup limit constraint. */ let mut limits_active = false; let limits_forcedir2 = axis2.into_inner(); let mut limits_rhs = 0.0; let mut limits_impulse = 0.0; let mut limits_impulse_limits = (0.0, 0.0); if joint.limits_enabled { let danchor = anchor2 - anchor1; let dist = danchor.dot(&axis1); // TODO: we should allow predictive constraint activation. let (min_limit, max_limit) = (joint.limits[0], joint.limits[1]); let min_enabled = dist < min_limit; let max_enabled = max_limit < dist; limits_impulse_limits.0 = if max_enabled { -Real::INFINITY } else { 0.0 }; limits_impulse_limits.1 = if min_enabled { Real::INFINITY } else { 0.0 }; limits_active = min_enabled || max_enabled; if limits_active { limits_rhs = (anchor_linvel2.dot(&axis2) - anchor_linvel1.dot(&axis1)) * params.velocity_solve_fraction; limits_rhs += ((dist - max_limit).max(0.0) - (min_limit - dist).max(0.0)) * velocity_based_erp_inv_dt; limits_impulse = joint .limits_impulse .max(limits_impulse_limits.0) .min(limits_impulse_limits.1); } } PrismaticVelocityGroundConstraint { joint_id, mj_lambda2: rb2.active_set_offset, im2, ii2_sqrt: rb2.effective_world_inv_inertia_sqrt, impulse: joint.impulse * params.warmstart_coeff, limits_active, limits_forcedir2, limits_impulse: limits_impulse * params.warmstart_coeff, limits_rhs, limits_impulse_limits, motor_rhs, motor_inv_lhs, motor_impulse, motor_max_impulse: joint.motor_max_impulse, basis1, inv_lhs, rhs, r2, axis2: axis2.into_inner(), } } pub fn warmstart(&self, mj_lambdas: &mut [DeltaVel]) { let mut mj_lambda2 = mj_lambdas[self.mj_lambda2 as usize]; let lin_impulse = self.basis1 * self.impulse.fixed_rows::(0).into_owned(); #[cfg(feature = "dim2")] let ang_impulse = self.impulse.y; #[cfg(feature = "dim3")] let ang_impulse = self.impulse.fixed_rows::(2).into_owned(); mj_lambda2.linear -= self.im2 * lin_impulse; mj_lambda2.angular -= self .ii2_sqrt .transform_vector(ang_impulse + self.r2.gcross(lin_impulse)); // Warmstart motors. mj_lambda2.linear -= self.axis2 * (self.im2 * self.motor_impulse); // Warmstart limits. mj_lambda2.linear += self.limits_forcedir2 * (self.im2 * self.limits_impulse); mj_lambdas[self.mj_lambda2 as usize] = mj_lambda2; } fn solve_dofs(&mut self, mj_lambda2: &mut DeltaVel) { let ang_vel2 = self.ii2_sqrt.transform_vector(mj_lambda2.angular); let lin_vel2 = mj_lambda2.linear + ang_vel2.gcross(self.r2); let lin_dvel = self.basis1.tr_mul(&lin_vel2); let ang_dvel = ang_vel2; #[cfg(feature = "dim2")] let rhs = Vector2::new(lin_dvel.x, ang_dvel) + self.rhs; #[cfg(feature = "dim3")] let rhs = Vector5::new(lin_dvel.x, lin_dvel.y, ang_dvel.x, ang_dvel.y, ang_dvel.z) + self.rhs; let impulse = self.inv_lhs * rhs; self.impulse += impulse; let lin_impulse = self.basis1 * impulse.fixed_rows::(0).into_owned(); #[cfg(feature = "dim2")] let ang_impulse = impulse.y; #[cfg(feature = "dim3")] let ang_impulse = impulse.fixed_rows::(2).into_owned(); mj_lambda2.linear -= self.im2 * lin_impulse; mj_lambda2.angular -= self .ii2_sqrt .transform_vector(ang_impulse + self.r2.gcross(lin_impulse)); } fn solve_limits(&mut self, mj_lambda2: &mut DeltaVel) { if self.limits_active { let ang_vel2 = self.ii2_sqrt.transform_vector(mj_lambda2.angular); let lin_dvel = self .limits_forcedir2 .dot(&(mj_lambda2.linear + ang_vel2.gcross(self.r2))) + self.limits_rhs; let new_impulse = (self.limits_impulse - lin_dvel / self.im2) .max(self.limits_impulse_limits.0) .min(self.limits_impulse_limits.1); let dimpulse = new_impulse - self.limits_impulse; self.limits_impulse = new_impulse; mj_lambda2.linear += self.limits_forcedir2 * (self.im2 * dimpulse); } } fn solve_motors(&mut self, mj_lambda2: &mut DeltaVel) { if self.motor_inv_lhs != 0.0 { let lin_dvel = self.axis2.dot(&mj_lambda2.linear) + self.motor_rhs; let new_impulse = na::clamp( self.motor_impulse + lin_dvel * self.motor_inv_lhs, -self.motor_max_impulse, self.motor_max_impulse, ); let dimpulse = new_impulse - self.motor_impulse; self.motor_impulse = new_impulse; mj_lambda2.linear -= self.axis2 * (self.im2 * dimpulse); } } pub fn solve(&mut self, mj_lambdas: &mut [DeltaVel]) { let mut mj_lambda2 = mj_lambdas[self.mj_lambda2 as usize]; self.solve_limits(&mut mj_lambda2); self.solve_motors(&mut mj_lambda2); self.solve_dofs(&mut mj_lambda2); mj_lambdas[self.mj_lambda2 as usize] = mj_lambda2; } // TODO: duplicated code with the non-ground constraint. pub fn writeback_impulses(&self, joints_all: &mut [JointGraphEdge]) { let joint = &mut joints_all[self.joint_id].weight; if let JointParams::PrismaticJoint(revolute) = &mut joint.params { revolute.impulse = self.impulse; revolute.motor_impulse = self.motor_impulse; revolute.limits_impulse = self.limits_impulse; } } }