%% Ball & Beam Demo
%
% The ball & beam demo was created as a lecture and homework demonstration
% of basic modes of proportional and proportional-derivative control. It
% was originally written in 2001, and most recently tested in 2011 using a current
% version of Matlab. These notes describe basic concepts incorporated in
% the demo and possible homework exercises.

%% Operation
%
% The ballbeam.m file is a function that can be run with no arguments. To
% start the demo simply enter |ballbeam| at the Matlab command prompt.

ballbeam

%% User Interaction
%
% The demo starts up in manual mode. The vertical slider moves the end of
% the beam up and down. The bottom slider adjusts the setpoint indicated by
% the red marker. Push the |Run| button to start the simulation. The ball
% will roll back and forth on the beam as you move the beam position up and
% down. The simulation is stopped by pushing the |Stop| button or when the
% ball rolls off either end of the beam. A summary of the simulation
% results is shown in the plot.
%
% *Exercise*: Move the setpoint to a new place, press |Run|,
% and manipulate the beam position to settle the ball over the new
% setpoint.

%% Plotting Simulation Data
%
% Simulation data is stored in a file |ballbeam.mat| after each run. The
% data can be loaded and plotted as follows:

load ballbeam
clf
subplot(211);
plot(tdata,xdata,'b',tdata,xspdata,'r');
legend('Ball Position','Setpoint','Location','NW');
xlabel('Time (Sec.)');
subplot(212);
plot(tdata,udata);
legend('Beam Position','Location','NW');
xlabel('Time (Sec.)');

%% Dynamics
%
% The position of the ball is governed by a second order differential
% equation of the form
%
% $$ \frac{d^2x}{dt^2} = K_{beam} u$$
% 
% *Exercise*: Design and perform a simulation experiment to
% estimate the parameter $K_{beam}$.

%% Proportional Control
%
% As the name suggests, under proportional control the beam position is set
% in proportion to the difference between the ball position and desired
% setpoint.
%
% $$ u = K_p(x_{sp}-x) $$
%
% Under the |Mode| menu, select proportional control (P) and use the slider
% controls to adjust $K_p$. Adjust the setpoint, then push |Run|. You can
% adjust the setpoint and control gain during the course of a |Run|.  
%
% *Exercise*: What type of behavior do you observe?  Substituting the the
% expression for the control action into the dynamical model leads to a
% second order differential equation.  What is the solution to that
% equation?
%
% *Exercise*: Use the results of the above exercise to estimate the value
% of $K_{beam}$.


%% Proportional-Derivative Control
%
% Proportional control alone leads to an oscillatory response.
% Proportional-Derivative (PD) control adds
% additional damping through a derivative term in the control law
%
% $$ u = K_p(x_{sp}-x) - K_p\tau_d\frac{dx}{dt} $$
%
% where $\tau_d$ is the derivative 'time-constant'. Under the |Mode| menu,
% select proportional-derivative control (PD) and adjust the parameters
% with the associated sliders. 
%
% *Exercise*: Set $K_p = 0.1$. How large does $\tau_d$ need to be to
% completely suppress overshoot of the setpoint?
%
% *Exercise*: Explore the response of the controlled system to a step
% change in the setpoint. Would you prefer an underdamped, critcally
% damped, or overdamped control system? Explain.
%

Sable
github-repos/MATLAB/Sable-mcbench-benchmarks/mcbench-benchmarks-ba13b2f0296ef49491b95e3f984c7c41fccdb6d8/151-ballbeam-m/README.m
mcbench-benchmarks
github-repos/MATLAB/Sable-mcbench-benchmarks
ba13b2f0296ef49491b95e3f984c7c41fccdb6d8