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Cushioned Oscillation

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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:


mv˙(t)+cx(t)=u(t) (which is equivalent to v˙(t)=1m(u(t)cx(t)))


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


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


(x(0),v(0))=(x0,v0)


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


(x(tf),v(tf))=(0,0),


with the objective function:


mintftf

Optimal Control Problem (OCP) Formulation

The above results in the following OCP


minx,v,u,tftfs.t.x˙(t)=v(t),t[0,tf]v˙(t)=1m(u(t)cx(t)),t[0,tf]x(0)=x0,v(0)=v0,x(tf)=0,v(tf)=0,ummu(t)umm,t[0,tf]

Parameters and Reference Solution

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

m=5,

c=10,

x0=2,

v0=5,

umm=5

Reference Solution


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

The MATLAB script can be found in: Cushioned Oscillation (PROPT)

References