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nmpf_node.cpp
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Tue, Jul 8, 16:17

nmpf_node.cpp
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#include "nmpf_node.hpp"
#include "ekf_node.h"
using namespace casadi;
void KiteNMPF_Node::filterCallback(const sensor_msgs::MultiDOFJointState::ConstPtr &msg)
{
//boost::unique_lock<boost::mutex> scoped_lock(m_mutex, boost::try_to_lock);
kite_state = convertToDM(*msg);
if(!is_initialized())
initialize();
}
KiteNMPF_Node::KiteNMPF_Node(const ros::NodeHandle &_nh, const KiteProperties &kite_props,
const AlgorithmProperties &algo_props )
{
std::shared_ptr<KiteDynamics> kite = std::make_shared<KiteDynamics>(kite_props, algo_props);
/** @badcode : parametrize path outside NMPF node constructor*/
SX x = SX::sym("x");
double radius = 3.0;
double altitude = 0.00;
SX Path = SX::vertcat(SXVector{radius * cos(x), radius * sin(x), altitude});
/** rotate path */
SX q_rot = SX::vertcat({cos(M_PI / 24), 0, sin(M_PI / 24), 0});
SX q_rot_inv = kmath::quat_inverse(q_rot);
SX qP_tmp = kmath::quat_multiply(q_rot_inv, SX::vertcat({0, Path}));
SX qP_q = kmath::quat_multiply(qP_tmp, q_rot);
Path = qP_q(Slice(1,4), 0);
Function path = Function("path", {x}, {Path});
controller = std::make_shared<KiteNMPF>(kite, path);
nh = std::make_shared<ros::NodeHandle>(_nh);
/** set control constraints */
double angle_sat = kmath::deg2rad(8.0);
DM lbu = DM::vertcat({0.1, -angle_sat, -angle_sat, -1});
DM ubu = DM::vertcat({0.2, angle_sat, angle_sat, 1});
controller->setLBU(lbu);
controller->setUBU(ubu);
/** set variable constraints */
DM lbx = DM::vertcat({1.0, -0.5, -DM::inf(1), -2 * M_PI, -2 * M_PI, -2 * M_PI, -DM::inf(1), -DM::inf(1), -DM::inf(1),
-1, -1, -1, -1, -DM::inf(1), -2 * M_PI});
DM ubx = DM::vertcat({12, 5, DM::inf(1), 2 * M_PI, 2 * M_PI, 2 * M_PI, DM::inf(1), DM::inf(1), DM::inf(1),
1, 1, 1, 1, DM::inf(1), 2 * M_PI});
//controller->setLBX(lbx);
//controller->setUBX(ubx);
DM vel_ref = 0.05;
controller->setReferenceVelocity(vel_ref);
/** create NLP */
controller->createNLP();
/** create solver for delay compensation */
nh->param<double>("delay", transport_delay, 0.0);
Dict opts;
opts["tf"] = transport_delay;
opts["poly_order"] = 2;
opts["tol"] = 1e-4;
opts["method"] = IntType::CVODES;
Function system = kite->getNumericDynamics();
solver = std::make_shared<ODESolver>(system, opts);
/** initialize subscribers and publishers */
control_pub = nh->advertise<test_package::aircraft_controls>("kite_controls", 100);
traj_pub = nh->advertise<sensor_msgs::MultiDOFJointState>("/opt_traj", 10);
diagnostic_pub = nh->advertise<test_package::mpc_diagnostic>("/mpc_diagnostic", 10);
std::string state_topic = "/kite_state";
state_sub = nh->subscribe(state_topic, 100, &KiteNMPF_Node::filterCallback, this);
m_initialized = false;
comp_time_ms = 0.0;
}
DM KiteNMPF_Node::convertToDM(const sensor_msgs::MultiDOFJointState &_value)
{
DM value = DM::zeros(13);
value[0] = _value.twist.back().linear.x;
value[1] = _value.twist.back().linear.y;
value[2] = _value.twist.back().linear.z;
value[3] = _value.twist.back().angular.x;
value[4] = _value.twist.back().angular.y;
value[5] = _value.twist.back().angular.z;
value[6] = _value.transforms.back().translation.x;
value[7] = _value.transforms.back().translation.y;
value[8] = _value.transforms.back().translation.z;
value[9] = _value.transforms.back().rotation.w;
value[10] = _value.transforms.back().rotation.x;
value[11] = _value.transforms.back().rotation.y;
value[12] = _value.transforms.back().rotation.z;
return value;
}
void KiteNMPF_Node::publish()
{
/** pack estimation to ROS message */
DM opt_ctl = controller->getOptimalControl();
control = opt_ctl(Slice(0,3), opt_ctl.size2() - 1);
std::vector<double> controls = control.get_nonzeros();
test_package::aircraft_controls control_msg;
if(!controls.empty())
{
control_msg.header.stamp = ros::Time::now();
control_msg.thrust = controls[0];
control_msg.elevator = controls[1];
control_msg.rudder = controls[2];
/** publish current control */
control_pub.publish(control_msg);
}
}
void KiteNMPF_Node::publish_trajectory()
{
DM opt_trajectory = controller->getOptimalTrajetory();
int array_size = opt_trajectory.size2();
if(array_size == 0)
return;
DMVector split_traj = DM::horzsplit(opt_trajectory, 1);
sensor_msgs::MultiDOFJointState opt_msg;
opt_msg.twist.resize(array_size);
opt_msg.transforms.resize(array_size);
opt_msg.joint_names.resize(array_size);
opt_msg.wrench.resize(array_size);
opt_msg.header.frame_id = "optimal_trajectory";
int idx = 0;
for(DMVector::const_iterator it = split_traj.begin(); it != split_traj.end(); std::advance(it, 1))
{
std::vector<double> row = (*it).nonzeros();
opt_msg.twist[idx].linear.x = row[0];
opt_msg.twist[idx].linear.y = row[1];
opt_msg.twist[idx].linear.z = row[2];
opt_msg.twist[idx].angular.x = row[3];
opt_msg.twist[idx].angular.y = row[4];
opt_msg.twist[idx].angular.z = row[5];
opt_msg.transforms[idx].translation.x = row[6];
opt_msg.transforms[idx].translation.y = row[7];
opt_msg.transforms[idx].translation.z = row[8];
opt_msg.transforms[idx].rotation.w = row[9];
opt_msg.transforms[idx].rotation.x = row[10];
opt_msg.transforms[idx].rotation.y = row[11];
opt_msg.transforms[idx].rotation.z = row[12];
/** virtual state */
Function path = controller->getPathFunction();
DM point = path(DMVector{row[13]})[0];
std::vector<double> virt_point = point.nonzeros();
opt_msg.wrench[idx].force.x = virt_point[0];
opt_msg.wrench[idx].force.y = virt_point[1];
opt_msg.wrench[idx].force.z = virt_point[2];
idx++;
}
traj_pub.publish(opt_msg);
}
/** publish diagnostic info */
void KiteNMPF_Node::publish_mpc_diagnostic()
{
test_package::mpc_diagnostic diag_msg;
diag_msg.header.stamp = ros::Time::now();
diag_msg.pos_error = controller->getPathError();
diag_msg.comp_time_ms = comp_time_ms * 1000;
diag_msg.virt_state = controller->getVirtState();
diag_msg.vel_error = controller->getVelocityError();
/** dummy output */
diag_msg.cost = 0;
diagnostic_pub.publish(diag_msg);
}
void KiteNMPF_Node::compute_control()
{
/** augment state with pseudo state*/
DM augmented_state;
DM opt_traj = controller->getOptimalTrajetory();
if(!opt_traj.is_empty())
{
/** transport delay compensation */
DM predicted_state = solver->solve(kite_state, control, transport_delay);
augmented_state = DM::vertcat({predicted_state, opt_traj(Slice(13, opt_traj.size1()), opt_traj.size2() - 2)});
// Dict stats = controller->getStats();
// std::string solve_status = static_cast<std::string>(stats["return_status"]);
// if(solve_status.compare("Solve_Succeeded") != 0)
// {
// std::cout << "REINIT! \n";
// augmented_state(13) = controller->findClosestPointOnPath(kite_state(Slice(6,9)), augmented_state(13));
// }
}
else
{
DM closest_point = controller->findClosestPointOnPath(kite_state(Slice(6,9)));
std::cout << "Initialiaztion: " << closest_point << "\n";
augmented_state = DM::vertcat({kite_state, closest_point, 0});
}
/** @badcode : dirty hack : zero-speed workaround */
DM minimal_speed = DM(1.7);
if (augmented_state(0, 0).nonzeros()[0] < minimal_speed.nonzeros()[0])
augmented_state(0, 0) = minimal_speed;
/** compute control */
controller->computeControl(augmented_state);
}
int main(int argc, char **argv)
{
ros::init(argc, argv, "nmpf_node");
ros::NodeHandle n;
/** create a kite object */
std::string kite_params_file;
n.param<std::string>("kite_params", kite_params_file, "umx_radian.yaml");
std::cout << kite_params_file << "\n";
KiteProperties kite_props = kite_utils::LoadProperties(kite_params_file);
AlgorithmProperties algo_props;
algo_props.Integrator = RK4;
algo_props.sampling_time = 0.02;
int broadcast_trajectory;
n.param<int>("broadcast_trajectory", broadcast_trajectory, 1);
/** create a NMPF instance */
KiteNMPF_Node tracker(n, kite_props, algo_props);
ros::Rate loop_rate(15); /** 18 Hz */
while (ros::ok())
{
ros::spinOnce();
if(tracker.is_initialized())
{
double start = ros::Time::now().toSec();
tracker.compute_control();
double finish = ros::Time::now().toSec();
tracker.publish();
tracker.publish_mpc_diagnostic();
tracker.comp_time_ms = finish - start;
std::cout << "Control computational delay: " << finish - start << "\n";
if(broadcast_trajectory)
tracker.publish_trajectory();
}
else
{
loop_rate.sleep();
}
}
return 0;
}

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