Apply unsymmetrized fluid derivatives to standalone free bodies in implicitfast.
PiperOrigin-RevId: 948899583 Change-Id: Icfb5a713f89a94e597c7607e9aa10a9e151dc2aa
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Copybara-Service
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@@ -16,7 +16,6 @@
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#include "src/engine/engine_forward.h"
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#include <algorithm>
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#include <array>
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#include <cmath>
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#include <cstdlib>
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@@ -68,7 +67,6 @@ using ::testing::Pointwise;
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using ::testing::_;
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using ::testing::Gt;
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using ::testing::HasSubstr;
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using ::testing::Ne;
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using ::testing::NotNull;
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@@ -467,7 +465,8 @@ TEST_F(ImplicitIntegratorTest, EnergyConservation) {
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// free-body local solve: implicitfast matches implicit exactly for a standalone
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// free body
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TEST_F(ImplicitIntegratorTest, FreeBodyMatchesImplicit) {
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static constexpr char xml[] = R"(
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// damped free body in vacuum
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static constexpr char xml1[] = R"(
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<mujoco>
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<option timestep="0.005"/>
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<worldbody>
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@@ -479,36 +478,54 @@ TEST_F(ImplicitIntegratorTest, FreeBodyMatchesImplicit) {
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</mujoco>
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)";
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char error[1024];
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MjModelPtr model = LoadModelFromString(xml, error, sizeof(error));
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ASSERT_THAT(model.get(), NotNull()) << error;
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MjDataPtr d1 = MakeData(model);
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MjDataPtr d2 = MakeData(model);
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mjModel* m = model.get();
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// free body in fluid with wind, ellipsoid fluid model (asymmetric lift
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// derivatives)
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static constexpr char xml2[] = R"(
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<mujoco>
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<option timestep="0.005" density="1.2" viscosity="0.002" wind="1 2 3"/>
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<worldbody>
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<body pos="0.1 -0.2 0.5" euler="20 -30 40">
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<joint type="free"/>
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<geom type="ellipsoid" size=".1 .2 .3" mass="2" pos=".04 -.02 .03"
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fluidshape="ellipsoid"/>
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</body>
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</worldbody>
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</mujoco>
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)";
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// tumbling initial velocity
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mj_resetData(m, d1.get());
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d1->qvel[3] = 5;
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d1->qvel[4] = -3;
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d1->qvel[5] = 2;
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int xml_idx = 1;
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for (auto xml : {xml1, xml2}) {
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SCOPED_TRACE(testing::Message() << "XML case " << xml_idx++);
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char error[1024];
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MjModelPtr model = LoadModelFromString(xml, error, sizeof(error));
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ASSERT_THAT(model.get(), NotNull()) << error;
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MjDataPtr d1 = MakeData(model);
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MjDataPtr d2 = MakeData(model);
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mjModel* m = model.get();
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// step both integrators from identical states, re-synchronizing each step
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// to avoid chaotic divergence of tumbling trajectories
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int nstate = mj_stateSize(m, mjSTATE_INTEGRATION);
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std::vector<mjtNum> state(nstate);
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mjtNum tol = MjTol(1e-14, 1e-6);
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for (int i = 0; i < 50; i++) {
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mj_getState(m, d1.get(), state.data(), mjSTATE_INTEGRATION);
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mj_setState(m, d2.get(), state.data(), mjSTATE_INTEGRATION);
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// tumbling initial velocity
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mj_resetData(m, d1.get());
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d1->qvel[3] = 5;
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d1->qvel[4] = -3;
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d1->qvel[5] = 2;
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m->opt.integrator = mjINT_IMPLICITFAST;
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mj_step(m, d1.get());
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m->opt.integrator = mjINT_IMPLICIT;
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mj_step(m, d2.get());
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// step both integrators from identical states, re-synchronizing each step
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// to avoid chaotic divergence of tumbling trajectories
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int nstate = mj_stateSize(m, mjSTATE_INTEGRATION);
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std::vector<mjtNum> state(nstate);
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for (int i = 0; i < 50; i++) {
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mj_getState(m, d1.get(), state.data(), mjSTATE_INTEGRATION);
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mj_setState(m, d2.get(), state.data(), mjSTATE_INTEGRATION);
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for (int k = 0; k < m->nv; k++) {
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EXPECT_NEAR(d1->qvel[k], d2->qvel[k], tol)
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<< "step " << i << " dof " << k;
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m->opt.integrator = mjINT_IMPLICITFAST;
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mj_step(m, d1.get());
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m->opt.integrator = mjINT_IMPLICIT;
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mj_step(m, d2.get());
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for (int k = 0; k < m->nv; k++) {
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EXPECT_NEAR(d1->qvel[k], d2->qvel[k], MjTol(1e-14, 1e-6))
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<< "step " << i << " dof " << k;
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}
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}
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}
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}
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