Cushioned Oscillation

Cushioned Oscillation
State dimension:	1
Differential states:	2
Continuous control functions:	1
Interior point equalities:	4

The Cushioned Oscillation is a simplified model of time optimal "stopping" of an oscillating object attached to a spring by applying a control and moving it back into the relaxed position and zero velocity.

Model formulation

An object with mass $m$ is attached to a spring with stiffness constant $c$.

If the resetting spring force is proportional to the deviation $x=x(t)$, an oscillation, induced by an external force $u(t)$, satisfies:

$m\dot v (t) + cx(t) = u(t)$ (which is equivalent to $\dot v (t) = \frac{1}{m}(u(t) - cx(t))$)

where $x(t)$ denotes the deviation to the relaxed position and $v(t)=\dot x (t)$ the velocity of the oscillating object.

Through external force, the object has been put into an initial state :

$(x(0),v(0)) = (x_0,v_0)$

The goal is to reset position and velocity of the object as fast as possible, meaning:

$(x(t_f),v(t_f)) = (0,0)$,

with the objective function:

$\min\limits_{t_f} t_f$

Optimal Control Problem (OCP) Formulation

The above results in the following OCP

$\begin{array}{llr} \min\limits_{x,v,u,t_f} & t_f\\ s.t. & \dot x = v\\ & \dot v= \frac{1}{m}(u - c \cdot x)\\ \\ & x(0)=x_0,\\ & v(0)=v_0,\\ & x(t_f)=0,\\ & v(t_f)=0,\\ \\ & -u_{mm} \le u \le u_{mm}\\ \end{array}$

Parameters and Reference Solution

The following parameters were used, to create the reference solution below, with an almost optimal final time $t_f = 8.98 s$:

$m=5,$ $c=10,$ $x_0=2,$ $v_0=5,$ $u_{mm}=5.$

Reference Solution

• Reference solution plots
• 

  States and Controls

The OCP was solved within MATLAB R2015b, using the TOMLAB Optimization Package. PROPT reformulates such problems with the direct collocation approach (n=80 collocation points) and automatically finds a suiting solver included in the TOMLAB Optimization Package (in this case, SNOPT was used).

Source Code

• A MATLAB script using PROPT can be found in: Cushioned Oscillation (PROPT)