thesis/tesiema.m

50 lines
938 B
Matlab

clc
clear all
close all
global x0 ref dref b K saturation
TRAJECTORY = 0
INITIAL_CONDITIONS = 0
% distance from the center of the unicycle to the point being tracked
% ATTENZIONE! CI SARA' SEMPRE UN ERRORE COSTANTE DOVUTO A b. Minore b,
% minore l'errore
b = 0.2
% proportional gain
K = eye(2)*2
% saturation
saturation = [5; 0.2];
% initial state
% In order, [x, y, theta]
x0 = set_initial_conditions(INITIAL_CONDITIONS)
% trajectory to track
[ref, dref] = set_trajectory(TRAJECTORY)
% simulation time
tspan = 0:0.1:10;
% execute simulation
[t, x] = ode45(@sistema, tspan, x0)
% plot results
ref_t = reshape(double(subs(ref, t)), [101,2]);
subplot(3,2,1)
hold on
plot(t, ref_t(:, 1));
plot(t, x(:, 1));
legend()
subplot(3,2,2)
plot(t, ref_t(:, 1) - x(:, 1));
subplot(3,2,3)
hold on
plot(t, ref_t(:, 2));
plot(t, x(:, 2));
legend()
subplot(3,2,4)
plot(t, ref_t(:, 2) - x(:, 2));