Factors for the simple Pendulum dynamics for being used with explicit/implicit/sympletic Euler integrators as in [Stern06siggraph]
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/**
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* @file Pendulum.h
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* @brief Three-way factors for the pendulum dynamics as in [Stern06siggraph] for
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* (1) explicit Euler method, (2) implicit Euler method, and (3) sympletic Euler method.
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* Note that all methods use the same formulas for the factors. They are only different in
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* the way we connect variables using those factors in the graph.
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* @author Duy-Nguyen Ta
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*/
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#pragma once
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#include <gtsam/base/LieScalar.h>
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#include <gtsam/nonlinear/NonlinearFactor.h>
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namespace gtsam {
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/**
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* This class implements the first constraint.
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* - For explicit Euler method: q_{k+1} = q_k + dt*v_k
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* - For implicit Euler method: q_{k+1} = q_k + dt*v_{k+1}
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* - For sympletic Euler method: q_{k+1} = q_k + dt*v_{k+1}
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*/
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class PendulumFactor1: public NoiseModelFactor3<LieScalar, LieScalar, LieScalar> {
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public:
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protected:
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typedef NoiseModelFactor3<LieScalar, LieScalar, LieScalar> Base;
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/** default constructor to allow for serialization */
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PendulumFactor1() {}
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double dt_;
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public:
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typedef boost::shared_ptr<PendulumFactor1> shared_ptr;
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///Constructor. k1: q_{k+1}, k: q_k, velKey: velocity variable depending on the chosen method, dt: time step
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PendulumFactor1(Key k1, Key k, Key velKey, double dt, double mu = 1000.0)
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: Base(noiseModel::Constrained::All(LieScalar::Dim(), fabs(mu)), k1, k, velKey), dt_(dt) {}
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/// @return a deep copy of this factor
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virtual gtsam::NonlinearFactor::shared_ptr clone() const {
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return boost::static_pointer_cast<gtsam::NonlinearFactor>(
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gtsam::NonlinearFactor::shared_ptr(new PendulumFactor1(*this))); }
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/** q_k + dt*v - q_k1 = 0, with optional derivatives */
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Vector evaluateError(const LieScalar& qk1, const LieScalar& qk, const LieScalar& v,
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boost::optional<Matrix&> H1 = boost::none,
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boost::optional<Matrix&> H2 = boost::none,
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boost::optional<Matrix&> H3 = boost::none) const {
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const size_t p = LieScalar::Dim();
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if (H1) *H1 = -eye(p);
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if (H2) *H2 = eye(p);
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if (H3) *H3 = eye(p)*dt_;
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return qk1.localCoordinates(qk.compose(LieScalar(v*dt_)));
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}
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}; // \PendulumFactor1
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/**
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* This class implements the second constraint the
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* - For explicit Euler method: v_{k+1} = v_k - dt*g/L*sin(q_k)
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* - For implicit Euler method: v_{k+1} = v_k - dt*g/L*sin(q_{k+1})
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* - For sympletic Euler method: v_{k+1} = v_k - dt*g/L*sin(q_k)
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*/
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class PendulumFactor2: public NoiseModelFactor3<LieScalar, LieScalar, LieScalar> {
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public:
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protected:
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typedef NoiseModelFactor3<LieScalar, LieScalar, LieScalar> Base;
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/** default constructor to allow for serialization */
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PendulumFactor2() {}
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double dt_;
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double g_;
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double L_;
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public:
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typedef boost::shared_ptr<PendulumFactor2 > shared_ptr;
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///Constructor. vk1: v_{k+1}, vk: v_k, qkey: q's key depending on the chosen method, dt: time step
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PendulumFactor2(Key vk1, Key vk, Key qkey, double dt, double L = 1.0, double g = 9.81, double mu = 1000.0)
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: Base(noiseModel::Constrained::All(LieScalar::Dim(), fabs(mu)), vk1, vk, qkey), dt_(dt), g_(g), L_(L) {}
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/// @return a deep copy of this factor
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virtual gtsam::NonlinearFactor::shared_ptr clone() const {
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return boost::static_pointer_cast<gtsam::NonlinearFactor>(
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gtsam::NonlinearFactor::shared_ptr(new PendulumFactor2(*this))); }
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/** v_k - dt*g/L*sin(q) - v_k1 = 0, with optional derivatives */
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Vector evaluateError(const LieScalar& vk1, const LieScalar& vk, const LieScalar& q,
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boost::optional<Matrix&> H1 = boost::none,
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boost::optional<Matrix&> H2 = boost::none,
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boost::optional<Matrix&> H3 = boost::none) const {
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const size_t p = LieScalar::Dim();
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if (H1) *H1 = -eye(p);
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if (H2) *H2 = eye(p);
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if (H3) *H3 = -eye(p)*dt_*g_/L_*sin(q.value());
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return vk1.localCoordinates(LieScalar(vk - dt_*g_/L_*sin(q)));
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}
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}; // \PendulumFactor2
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}
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/**
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* @file testPendulumExplicitEuler.cpp
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* @author Duy-Nguyen Ta
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*/
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#include <CppUnitLite/TestHarness.h>
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#include <gtsam/nonlinear/Symbol.h>
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#include <gtsam_unstable/dynamics/Pendulum.h>
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/* ************************************************************************* */
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using namespace gtsam;
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using namespace gtsam::symbol_shorthand;
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const double tol=1e-5;
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const double dt = 0.1;
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const double g = 9.81, l = 1.0;
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const double deg2rad = M_PI/180.0;
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LieScalar origin, q1(deg2rad*30.0), q2(deg2rad*31.0);
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LieScalar v1(deg2rad*1.0/dt), v2((v1-dt*g/l*sin(q1)));
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/* ************************************************************************* */
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TEST( testPendulumFactor1, evaluateError) {
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// hard constraints don't need a noise model
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PendulumFactor1 constraint(Q(2), Q(1), V(1), dt);
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// verify error function
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EXPECT(assert_equal(zero(1), constraint.evaluateError(q2, q1, v1), tol));
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}
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/* ************************************************************************* */
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TEST( testPendulumFactor2, evaluateError) {
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// hard constraints don't need a noise model
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PendulumFactor2 constraint(V(2), V(1), Q(1), dt);
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// verify error function
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EXPECT(assert_equal(zero(1), constraint.evaluateError(v2, v1, q1), tol));
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}
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/* ************************************************************************* */
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int main() { TestResult tr; return TestRegistry::runAllTests(tr); }
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/* ************************************************************************* */
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@ -383,6 +383,21 @@ virtual class VelocityConstraint3 : gtsam::NonlinearFactor {
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Vector evaluateError(const gtsam::LieScalar& x1, const gtsam::LieScalar& x2, const gtsam::LieScalar& v) const;
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};
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#include <gtsam_unstable/dynamics/Pendulum.h>
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virtual class PendulumFactor1 : gtsam::NonlinearFactor {
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/** Standard constructor */
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PendulumFactor1(size_t k1, size_t k, size_t velKey, double dt);
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Vector evaluateError(const gtsam::LieScalar& qk1, const gtsam::LieScalar& qk, const gtsam::LieScalar& v) const;
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};
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virtual class PendulumFactor2 : gtsam::NonlinearFactor {
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/** Standard constructor */
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PendulumFactor2(size_t vk1, size_t vk, size_t qKey, double dt, double L, double g);
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Vector evaluateError(const gtsam::LieScalar& vk1, const gtsam::LieScalar& vk, const gtsam::LieScalar& q) const;
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};
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//*************************************************************************
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// nonlinear
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//*************************************************************************
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