Digital modelling of Inverted Pendulum on a cart

In summary, the conversation discusses a case study involving the stabilization of an inverted pendulum and the need to digitalize the system before implementation. The system model is described as an underactuated 4th order system with specific control laws and expressions for certain variables. The conversation also mentions the use of a linear controller and specific expressions for Len, V, ksu, kcw, kvw, kem, n, E, E0, ucw, uvw, uem, u1, u2, and u3.
  • #1
meiskaustubh
2
0
I am pursuing bachelor in engineering.i have a case study involving the stabilization of an inverted pendulum about it's unstable equilibrium point.

My problem is that I have to digitalize my system before i can implement it.
Can anyone tell me how to digitalize the system.
 
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  • #2
my system model is of the form y = f(x) + g(x) * u.
the system is an underactuated 4th order system with the states as the cart position(x1) and velocity(x3) and the pendulum position(x2) and velocity(x4).
the control law 'u' consist of 3 parts.the first part contains log term and signum term,the second contains signum,log and exponential terms and the 3rd is a linear controller.

for specific expressions.
Len=.4;
V = 2;
ksu = 1.63;
kcw = 2.3;
kvw = 5;
kem = 6;
n = 1.05;
E = .5*((M + m)*x3^2 + 2*m*l*cos(x2)*x3*x4 + m*l^2*x4^2) + m*g*l*(cos(x2) - 1);
E0 = 0;
ucw = kcw*sign(x1)*log(1-abs(x1)/Len);
uvw = kvw*sign(x3)*log(1 - abs(x3)/V);
uem = kem*(exp(abs(E - n*E0)) - 1)*sign(E - E0)*sign(x4*cos(x2));

u1 = -ksu*sign(x4*cos(x(2))) + ucw
u2 = ucw + uvw + uem
u3 = k*x
 

FAQ: Digital modelling of Inverted Pendulum on a cart

How does digital modelling work for an inverted pendulum on a cart?

Digital modelling is a method used in science and engineering to create a virtual representation of a physical system. In the case of an inverted pendulum on a cart, digital modelling involves using mathematical equations and computer simulations to simulate the behavior of the system.

What are the benefits of using digital modelling for an inverted pendulum on a cart?

Digital modelling allows for a more efficient and cost-effective way to study the behavior of complex systems like an inverted pendulum on a cart. It also allows for the exploration of different scenarios and variables, which may not be possible in a physical experiment.

How accurate is digital modelling for an inverted pendulum on a cart?

The accuracy of digital modelling depends on the quality of the mathematical equations used and the accuracy of the input data. With proper calibration and validation, digital modelling can provide accurate predictions of the system's behavior.

Can digital modelling be used to find optimal control strategies for an inverted pendulum on a cart?

Yes, digital modelling can be used to analyze and compare different control strategies for an inverted pendulum on a cart. This allows for the identification of optimal control strategies that can stabilize the system and achieve desired behavior.

Are there any limitations to digital modelling for an inverted pendulum on a cart?

One limitation of digital modelling is that it relies on the accuracy of the mathematical equations and input data. Any discrepancies or errors in these can lead to inaccurate predictions. Additionally, digital modelling may not accurately capture all the complexities and uncertainties of a physical system.

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