Univ. Javeriana, Department of Electrical Engineering and Computer Science Lab 2 Feedback Systems Due date: Abril 22th, 2015. 7:00 am Objective To learn how to use Mathematica to run systems analysis. Pre-lab: The car and the pendulum The car with an inverted pendulum, shown below, is “bumped” with an impulse force, F . It is assumed that the motion takes place in a vertical plane. Let assume that Figure 1: Car and the pendulum - M mass of the car 0.5 kg - m mass of the pendulum 0.2 kg - b friction of the car 0.1N/m/sec - l length to pendulum central 0.3 m - I inertia of the pendulum 0.006 kg ∗ m2 - F force applied to the car - x car position coordinate - θ pendulum angle from vertical The car and the pendulum are all assumed to be point masses, with the mass of the pendulum concentrated at the top. It is instructive, however, to consider how the equations would change if the masses of the pendulum are uniformly distributed along the bars. For the output y we take the 2-vector consisting of the horizontal positions of the car and of the mass at the top of the pendulum. The purpose of this exercise is to develop and test a control law that holds the cart at a particular position with the pendulum in upright position. We assume that the two components of the output y are measured and that the force F is the control input. Our first order of business is to find the dynamical relation between F and y. The dynamic equations of this system are given by ¨ (M + m)¨ x + bx˙ + mlθcosθ − mlθ˙2 sinθ = F (I + ml2 )θ¨ + mglsinθ = −ml¨ xcosθ Linearization ˙ Derive the input/state/output equations; - Introduce as state variables q1 = x, q2 = θ, q3 = x, ˙ q4 = θ. i.e., write the equations in the form dy = f (q; F ), y = h(x) dx - Prove that F ∗ = 0, x∗ = 0, θ∗ = 0 is an equilibrium solution. Explain physically that this is as expected. Do you see other equilibrium? - Linearize about the pendulums angle, θ = π (in other words, assume that pendulum does not move more than a few degrees away from the vertical, chosen to be at an angle of π). Write the state space model. Print the response of the linear version. - Calculate the eigenvalues of A. Is the linearized system stable, asymptotically stable or unstable? - Print both, the response of the linear and non-linear version. Based on your results from, is the linear approximation a good approximation? Justify your answer. Lab: Magnetically suspended ball model To introduce the state space design method, we will use the magnetically suspended ball. The current through the coils induces a magnetic force which can balance the force of gravity and cause the ball (which is made of a magnetic material) to be suspended in midair. A diagram of this system is show bellow. 1 Figure 2: Magnetically Suspended Ball Where h is the vertical position of the ball, i is the current through the electromagnet, V is the applied voltage and 1 Taken from http://www.library.cmu.edu/ctms/ctms/examples/ 2 - The mass of the ball (M ): 0.05 Kg. - Gravity (g): 9.81 m/sec2 . - The inductance (L):0.01 H. - The resistance (R):1 Ohm. - The coefficient that determines the magnetic force exerted on the ball (K): 0.0001. - V is the applied voltage and h is the vertical position of the ball. The equations for the system are given by: M d2 h Ki2 = M g − dt2 h V =L di + iR dt (1) (2) [1 point] Introduce state variables. Derive the input/state/output equations; i.e., write the equations in the form dx = f (x; u), y = h(x) dt [1 point] Use the point h = 0.01m where the nominal current is about 7A to linearize and get the state space equations. [1 point] Write the state space model. Print the response of the linear version. Make a detailed description of the input used, associating it to a real situation. Describe the behavior of the model. [1 point] Print both, the response of the linear and non-linear version. Based on your results from, is the linear approximation a good approximation? Justify your answer. [1 point] How many equilibrium point does your model have? Determine the stability properties of each point calculating the eigenvalues. Note: Remember that the report must include: - Mathematical Model (state space). - Procedure. - Answer to all questions. - Send an email with the Notebook that you used. - Conclusions. - References. 3
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