Digital modelling of Inverted Pendulum on a cart

AI Thread Summary
The discussion focuses on the digital modeling of an inverted pendulum on a cart, essential for stabilizing the system at its unstable equilibrium point. The system is defined as a 4th order underactuated model with states representing the cart's position and velocity, as well as the pendulum's position and velocity. The control law consists of three components, incorporating log, signum, and exponential terms, along with a linear controller. Specific parameters and expressions are provided to illustrate the control strategy, including energy calculations and control inputs based on the system's states. The thread seeks guidance on how to effectively digitalize the system for implementation.
meiskaustubh
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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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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
 
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