Difference between revisions of "Cushioned Oscillation"

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(Optimal Control Problem (OCP) Formulation)
 
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|nx        = 2
 
|nx        = 2
 
|nu        = 1
 
|nu        = 1
 +
|nc        = 2
 
|nre      = 4
 
|nre      = 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.
 
}}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.
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<math>\min\limits_{t_f} t_f</math>
 
<math>\min\limits_{t_f} t_f</math>
  
== Optimal Control Problem (OCP) Formulation ==
+
== Optimal Control Problem Formulation ==
  
 
The above results in the following OCP  
 
The above results in the following OCP  
  
<math> \begin{array}{llr}
+
<math> \begin{array}{llll}
\min\limits_{x,v,u,t_f}  & t_f\\
+
  
s.t. & \dot x = v\\
+
\min\limits_{x,v,u,t_f}  & t_f & & \\  
  
& \dot v= \frac{1}{m}(u - c \cdot x)\\
+
s.t. & \dot x & =  v,\\
\\                                                 
+
 
& x(0)=x_0,\\
+
& \dot v & =   \frac{1}{m}(u - c \cdot x),\\
& v(0)=v_0,\\
+
& x(t_f)=0,\\
+
& v(t_f)=0,\\
+
 
\\
 
\\
& -u_{mm} \le u \le u_{mm}\\
+
& x(0) & =  x_0,\\
 +
& v(0) & =  v_0,\\
 +
& x(t_f) & =  0,\\
 +
& v(t_f) & =  0,\\
 +
& |u| & \le u_{mm}.\\
 +
 
  \end{array}</math>
 
  \end{array}</math>
  
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[[Category:MIOCP]]  
 
[[Category:MIOCP]]  
 +
[[Category:Bang bang]]
 +
[[Category:ODE model]]
 
[[Category: Minimum time]]
 
[[Category: Minimum time]]

Latest revision as of 10:06, 30 June 2016

Cushioned Oscillation
State dimension: 1
Differential states: 2
Continuous control functions: 1
Path constraints: 2
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 Formulation

The above results in the following OCP

 	\begin{array}{llll}

\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| & \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

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

References