dragonpilot - 基於 openpilot 的開源駕駛輔助系統
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

99 lines
2.4 KiB

#include <acado_code_generation.hpp>
const int controlHorizon = 50;
using namespace std;
int main( )
{
USING_NAMESPACE_ACADO
DifferentialEquation f;
DifferentialState x_ego, v_ego, a_ego, t;
OnlineData x_poly_r0, x_poly_r1, x_poly_r2, x_poly_r3;
OnlineData v_poly_r0, v_poly_r1, v_poly_r2, v_poly_r3;
OnlineData a_poly_r0, a_poly_r1, a_poly_r2, a_poly_r3;
Control j_ego;
// Equations of motion
f << dot(x_ego) == v_ego;
f << dot(v_ego) == a_ego;
f << dot(a_ego) == j_ego;
f << dot(t) == 1;
auto poly_x = x_poly_r0*(t*t*t) + x_poly_r1*(t*t) + x_poly_r2*t + x_poly_r3;
auto poly_v = v_poly_r0*(t*t*t) + v_poly_r1*(t*t) + v_poly_r2*t + v_poly_r3;
auto poly_a = a_poly_r0*(t*t*t) + a_poly_r1*(t*t) + a_poly_r2*t + a_poly_r3;
// Running cost
Function h;
h << x_ego - poly_x;
h << v_ego - poly_v;
h << a_ego - poly_a;
h << a_ego * (0.1 * v_ego + 1.0);
h << j_ego * (0.1 * v_ego + 1.0);
// Weights are defined in mpc.
BMatrix Q(5,5); Q.setAll(true);
// Terminal cost
Function hN;
hN << x_ego - poly_x;
hN << v_ego - poly_v;
hN << a_ego - poly_a;
hN << a_ego * (0.1 * v_ego + 1.0);
// Weights are defined in mpc.
BMatrix QN(4,4); QN.setAll(true);
// Non uniform time grid
// First 5 timesteps are 0.2, after that it's 0.6
DMatrix numSteps(20, 1);
for (int i = 0; i < 5; i++){
numSteps(i) = 1;
}
for (int i = 5; i < 20; i++){
numSteps(i) = 3;
}
// Setup Optimal Control Problem
const double tStart = 0.0;
const double tEnd = 10.0;
OCP ocp( tStart, tEnd, numSteps);
ocp.subjectTo(f);
ocp.minimizeLSQ(Q, h);
ocp.minimizeLSQEndTerm(QN, hN);
//ocp.subjectTo( 0.0 <= v_ego);
ocp.setNOD(12);
OCPexport mpc(ocp);
mpc.set( HESSIAN_APPROXIMATION, GAUSS_NEWTON );
mpc.set( DISCRETIZATION_TYPE, MULTIPLE_SHOOTING );
mpc.set( INTEGRATOR_TYPE, INT_RK4 );
mpc.set( NUM_INTEGRATOR_STEPS, controlHorizon);
mpc.set( MAX_NUM_QP_ITERATIONS, 500);
mpc.set( CG_USE_VARIABLE_WEIGHTING_MATRIX, YES);
mpc.set( SPARSE_QP_SOLUTION, CONDENSING );
mpc.set( QP_SOLVER, QP_QPOASES );
mpc.set( HOTSTART_QP, YES );
mpc.set( GENERATE_TEST_FILE, NO);
mpc.set( GENERATE_MAKE_FILE, NO );
mpc.set( GENERATE_MATLAB_INTERFACE, NO );
mpc.set( GENERATE_SIMULINK_INTERFACE, NO );
if (mpc.exportCode( "lib_mpc_export" ) != SUCCESSFUL_RETURN)
exit( EXIT_FAILURE );
mpc.printDimensionsQP( );
return EXIT_SUCCESS;
}