code.nb Mathematica notebook.
This is an analysis of the dynamics of inverted bob pendulum on a moving cart. The equations of motion for the cart and the pendulum bob mass are derived using Lagrangian formulation, then state space model is derived and then LQR is used to find the state gain vector to bring the pendulum to the upright position from an initial position.
The analysis uses Mathematica. Viscous friction is assumed to be present. This is friction between the cart itself and the rail that the cart moves on.
Let \(\nu \) be the viscous friction coefficient. The potential energy of the system is \begin {align*} \text {PE} &= m g L \sin \theta \end {align*}
And the kinetic energy is \begin {align*} \text {KE} &= \frac {1}{2} M \dot {x}^2 + \frac {1}{2} m\left ( \left ( \dot {x} - L \dot {\theta } \sin \theta \right )^2 + \left ( L \dot {\theta } \cos \theta \right )^2 \right ) \end {align*}
The Lagrangian is now found and equations of motion are found for the bob and for the cart as follows
The state space representation is found using
Now optimal state feedback gain is found using
The response of the system using this state feedback gain from an initial position is plotted using
Finally, this shows system coming to equilibrium
We see from above that both the x position of the cart and the upright pendulum position have been brought back to the equilibrium position.