Obtain a state-space representation for the system

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Reference no: EM132590124

EE-524 Assignment - Assume the valid values for the parameters wherever it is necessary.

Q1. Consider the following transfer-function system:

Y(s)/U(s) = s + 6/s2 + 5s+ 6.

Obtain the state-space representation of this system in (a) controllable canonical form and (b) observable canonical form.

Q2. Consider the following system:

y··· + 6y·· + 11y· + 6y= 0.

Obtain a state-space representation of this system in a diagonal canonical form.

Q3. Consider the system defined by

x· = Ax + Bu

y = Cx

where

994_figure.jpg

Obtain the transfer function Y(s)/U(s).

Q4. Consider the following matrix A:

684_figure1.jpg

Compute the eAt by two methods.

Q5. Find x1(t) and x2(t) of a system which is described by

1566_figure2.jpg

Assume any initial value you like.

Q6. Consider the system given by

2353_figure3.jpg

Is the system completely state controllable and completely observable? Determine controllability and observability Gramian.

Q7. Is the following system completely state controllable and completely observable?

478_figure4.jpg

Q8. Obtain the discrete-time state and output equations (when the sampling period T=1) of the following continuous-time system:

1099_figure5.jpg

Q9. Obtain a state-space representation of the system described by the equation:

y(k+ 2) + y(k+ 1) + 0.16y(k) = u(k+ 1) + 2u(k)

Comment on stability.

Q10. Obtain a state-space representation for the system defined by the following pulse-transfer-function matrix:

1138_figure6.jpg

Q11. Consider the discrete-time state equation

1845_figure7.jpg

Obtain the state transition matrix ψ(k).

Q12. Consider the system defined by

x(k+ 1) = Gx(k) + Hu(k).

Solve x(k) for an initial value x(0) = x0.

Q13. Consider a system defined by the equations

x1(k + 1) = x1(k) + 0.2x2(k) + 0.4

x2(k + 1) = 0.5x1(k) - 0.5,

determine the stability of the system.

Q14. A non-linear system is given as x· = 4x3 + 3 with x(0) = 3. Linearize the model about the origin. Solve the state equation for the linearized system. Solve the non-linear model for the state using Runge-Kutta method. Plot the two solutions and comment.

Q15. Consider the following model for a two-phase permanent magnet synchronous motor:

1223_figure8.jpg

where ia and ib are the currents through the two windings, R and L are the resistance and inductance of the windings, θ and ω are the angular position and velocity of the rotor, λ is the flux constant of the motor, ua and ub are the voltage applied across the two windings, J is the moments of inertia of the rotor and its load, F is the viscous friction of the rotor, and Tl is the load torque.

Find out the Jacobians w.r.t. the state vector(x= [ia ib ω θ]T) and the input control vector [ua, ub]T. Linearize the non-linear model around a general nominal value x- and u-. Simulate the non-linear and the linearized model (Suggestion: a nominal control input [u-a u-b]T = [sin 2πt cos 2πt]T and the resulted state trajectory x-(t) can be used for the simulations). Plot (using MATLAB/C) the different states of the two models.

Reference no: EM132590124

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