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Highlights from
Framework for differential steering vehicle

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from Framework for differential steering vehicle by Paolo Di Prodi
A framework for a differential steering vehicle controlled by a PID system tuned with a genetic algo

simAcceleration.m
%% Author: epokh
%% Website: www.epokh.org/drupy
%% This software is under GPL

global A;
global B;
global C;
global D;
global theta0;

%%This simulation implement the acceleration in the model
%% an ode solver is used to solve the differential equation
close all
%% vl,vr expressed in meters/seconds
%%the left wheel velocity
vl=0.02;
%%the right wheel velocity
vr=0.02;
%% the acceleration time
ar=0.6;
al=0.5;

%%the initial orientation of the robot
%%the angle is counter clockwise from the x axis
theta0=0;
%%b is the axis length of the robot that connect the 2 wheels expressed in
%%meters
b=0.5;
%%the simulation time
tstart=0;
tend=5;
timestep=0.01;


%%now define the number of time steps
nsteps=(tend-tstart)/timestep;
%%this is the starting position for the robot
start_pos=[0,0,theta0];
position_pts=[start_pos];
old_pos=[start_pos];
lwheel_trace=LeftWheelLoc(start_pos,b);
rwheel_trace=RightWheelLoc(start_pos,b);

figure(1);
title(['Odometry simulation using acceleration...','ar =',num2str(ar),'al =',num2str(al)]);
xlabel('X coordinate');
ylabel('Y coordinate');
DrawRobotPosition(old_pos,b);
for t=tstart+timestep:timestep:tend
    new_pos=deadReckonAcceleration(ar,al,vr,vl,t,b);
    position_pts=[position_pts; new_pos];
    lwheel_trace=[lwheel_trace; LeftWheelLoc(new_pos,b)];
    rwheel_trace=[rwheel_trace; RightWheelLoc(new_pos,b)];
    old_pos=new_pos;
    DrawRobotPosition(old_pos,b);
end;

hold on;
DrawWheelTrace(lwheel_trace,'g');
DrawWheelTrace(rwheel_trace,'b');

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