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Car testdrive (lane change manoeuvre)

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Car testdrive (lane change manoeuvre)
State dimension: 1
Differential states: 7
Continuous control functions: 3
Discrete control functions: 1
Interior point inequalities: 7


The testdrive control problem is a time optimal double lane change maneouvre with gear shift. It has been introduced as a benchmark problem for mixed-integer optimal control by <bibref>Gerdts2005</bibref>.

Mathematical formulation

The mathematical equations form a small-scale ODE model.

The vehicle dynamics are based on a single-track model, derived under the simplifying assumption that rolling and pitching of the car body can be neglected. Consequentially, only a single front and rear wheel is modeled, located in the virtual center of the original two wheels. Motion of the car body is considered on the horizontal plane only.

Four controls represent the driver's choice on steering and velocity. We denote with wδ the steering wheel's angular velocity. The force FB controls the total braking force, while the accelerator pedal position ϕ is translated into an accelerating force. Finally, the selected gear μ influences the effective engine torque's transmission.


Resulting MIOCP

For t[t0,tf] almost everywhere the mixed-integer optimal control problem is given by

minx(),u(),μ()tfs.t.x˙(t)=f(t,x(t),u(t),μ(t)),x(t0)=x0,r(t,x(t),u(t))0,μ(t){1,2,3,4,5}.

Parameters

These fixed values are used within the model.

Symbol Value Unit Description
m 1.239e+3 kg Mass of the car
g 9.81 m/s^2 Gravity constant
lf 1.19016 m Front wheel distance to center of gravity
lr 1.37484 m Rear wheel distance to center of gravity
eSP 0.5 m Drag mount point distance to center of gravity
R 0.302 m Wheel radius
Izz 1.752e+3 kg m^2 Moment of inertia
cw 0.3 - Air drag coefficient
ϱ 1.249512 kg/m^3 Air density
A 1.4378946874 m^2 Effective flow surface
ig 3.09, 2.002, 1.33, 1.0, 0.805 - Transmission ratios for the five gears
it 3.91 - Engine transmission ratio
Bf 1.096e+1 - Pacejka coefficients (stiffness)
Br 1.267e+1 -
Cf 1.3 - Pacejka coefficients (shape)
Cr 1.3 -
Df 4.5604e+3 - Pacejka coefficients (peak)
Dr 3.94781e+3 -
Ef -0.5 - Pacejka coefficients (curvature)
Er -0.5 -

Test course

The double-lane change manoeuvre presented in <bibref>Gerdts2005</bibref> is realized by constraining the car's position onto a prescribed track at any time t[t0,tf]. Starting in the left position with an initial prescribed velocity, the driver is asked to manage a change of lanes modeled by an offset of 3.5 meters in the track. Afterwards he is asked to return to the starting lane. This manoeuvre can be regarded as an overtaking move or as an evasive action taken to avoid hitting an obstacle suddenly appearing on the starting lane.

From a mathematical point of view, the test track is described by setting up piecewise cubic spline functions Pl(x) and Pr(x) modeling the top and bottom track boundary, given a horizontal position x.

Pl(x):={0if x44,4h2(x44)3if 44<x44.5,4h2(x45)3+h2if 44.5<x45,h2if 45<x70,4h2(70x)3+h2if 70<x70.5,4h2(71x)3if 70.5<x71,0if 71<x.Pu(x):={h1if x15,4(h3h1)(x15)3+h1if 15<x15.5,4(h3h1)(x16)3+h3if 15.5<x16,h3if 16<x94,4(h3h4)(94x)3+h3if 94<x94.5,4(h3h4)(95x)3+h4if 94.5<x95,h4if 95<x.

where B=1.5m is the car's width and

h1:=1.1B+0.25,h2:=3.5,h3:=1.2B+3.75,h4:=1.3B+0.25.

Test course for the double lane change manoeuvre

Reference Solutions

Reference solutions for the case of a fixed time-grid are given in <bibref>Gerdts2005</bibref>. Solutions for a non-fixed time grid are given in <bibref>Gerdts2006</bibref>.

Source Code

C

The differential equations in C code:

// Controls
double C_steer = u[0];
double C_brake = u[1];
double C_acc   = u[2];

// Differential states
double X_v     = xd[2];
double X_beta  = xd[3];
double X_psi   = xd[4];
double X_wz    = xd[5];
double X_delta = xd[6];

// Intermediate values
double alpha_f, alpha_r, v_km_h, v_km_h2;
double F_Ax, F_Ay, F_Bf, F_Br, F_Rf, F_Rr, F_sf, F_sr, F_lr, F_lf;
double f_R, f_1, w_mot, f_2, f_3, M_mot, M_wheel;
double X_v_cos_X_beta, X_v_sin_X_beta;

X_v_cos_X_beta = X_v * cos ( X_beta );
X_v_sin_X_beta = X_v * sin ( X_beta );
alpha_f        = X_delta - atan( ( P_l_f * X_wz - X_v_sin_X_beta ) / X_v_cos_X_beta );
alpha_r        =           atan( ( P_l_r * X_wz + X_v_sin_X_beta ) / X_v_cos_X_beta );

F_sf    = P_D_f * sin( P_C_f * atan( P_B_f*alpha_f - P_E_f*(P_B_f*alpha_f - atan(P_B_f*alpha_f)) ) );
F_sr    = P_D_r * sin( P_C_r * atan( P_B_r*alpha_r - P_E_r*(P_B_r*alpha_r - atan(P_B_r*alpha_r)) ) );

F_Ax    = 0.5 * P_c_w * P_rho * P_A * X_v*X_v;
F_Ay    = 0.0;
F_Bf    = 2.0/3.0 * C_brake;
F_Br    = 1.0/3.0 * C_brake;

v_km_h  = X_v / 100.0 * 3.6;
v_km_h2 = v_km_h * v_km_h;
f_R     = P_f_R0 + P_f_R1 * v_km_h + P_f_R4 * v_km_h2 * v_km_h2;
F_Rf    = f_R * P_F_zf;
F_Rr    = f_R * P_F_zr;

f_1     = 1.0 - exp( -3.0 * C_acc );
w_mot   = X_v * P_ig * P_i_t / P_R;
f_2     = -37.8 + (1.54 - 0.0019 * w_mot_i) * w_mot;
f_3     = -34.9 - 0.04775 * w_mot;
M_mot   = f_1 * f_2_i + ( 1.0 - f_1 ) * f_3_i;
M_wheel = P_ig * P_i_t * M_mot_i;
	
F_lr    = M_wheel / P_R - F_Br - F_Rr;
F_lf    = - F_Bf - F_Rf;

// 0 Horizontal position x
rhs[0] = X_v * cos( X_psi - X_beta );
// 1 Vertical position y
rhs[1] = X_v * sin( X_psi - X_beta );
// 2 Velocity v
rhs[2] = 1.0 / P_m * (
	  (F_lr - F_Ax) * cos(X_beta) + F_lf * cos(X_delta + X_beta)
	- (F_sr - F_Ay) * sin(X_beta) - F_sf * sin(X_delta + X_beta) );
// 3 Side slip angle beta
rhs[3] = X_wz - 1.0 / (P_m * X_v) * (
	  (F_lr - F_Ax) * sin(X_beta) + F_lf * sin(X_delta + X_beta)
	+ (F_sr - F_Ay) * cos(X_beta) + F_sf * cos(X_delta + X_beta) );
// 4 Yaw angle psi
rhs[4] = X_wz;
// 5 Velocity of yaw angle w_z
rhs[5] = 1.0 / P_I_zz * (
	  F_sf * P_l_f * cos(X_delta) - F_sr * P_l_r
	+ F_lf * P_l_f * sin(X_delta) - F_Ay * P_e_SP );
// 6 Steering angle delta
rhs[6] = C_steer;

Variants

See testdrive overview page.

References

<bibreferences/>