State feedback gain for observer/estimator

In summary, to solve for Part 4, we need to rearrange the state equations and the estimator equations to get expressions for x1, x2, x1_hat, and x2_hat in terms of the inputs r, u, and y. Then, we can substitute these expressions into the equation for y to find the transfer function from r to y for both the state feedback system and the estimator. The two transfer functions should be the same.
  • #1
PainterGuy
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Homework Statement
I cannot figure out how to solve Part 4. It requires to apply the gain to observer/estimator.
Relevant Equations
Please check the posting.
1620282235729.png


For the state equations given above calculate state feedback gain k so that the state feedback system has -1 and -2 as its poles. Then, find TF from r to y for the given state feedback system. Then create a 2 dimensional estimator where the poles of estimator are -2±2j. Finally calculate TF from r to y for the estimator if the found feedback gain is applied to estimated state of estimator. Do you find that two transfer functions are same?

1620282409500.png


I don't know how to solve for Part 4. All the other answers are correct. Could you please help me with Part 4?
 
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  • #2
Thank you very much.For Part 4, we can solve for the transfer function of the state feedback system by first rearranging the state equations to get an expression for x1 and x2 in terms of the inputs r, u, and y. Then, we can substitute this into the equation for y to get the transfer function from r to y.The transfer function of the estimator is found by rearranging the estimator equations to get an expression for x1_hat and x2_hat in terms of the inputs r, u, and y_hat. We then substitute this expression into the equation for y to get the transfer function from r to y.The two transfer functions should be the same since they are both derived from the same state equations.
 

FAQ: State feedback gain for observer/estimator

What is state feedback gain for observer/estimator?

State feedback gain for observer/estimator is a control technique used in control systems to estimate the unmeasured states of a system using feedback from measured states. It is used to improve the performance and stability of a control system by providing accurate estimates of the unmeasured states.

How does state feedback gain for observer/estimator work?

The state feedback gain for observer/estimator works by using a mathematical model of the system to estimate the unmeasured states. This model takes into account the dynamics of the system and uses feedback from measured states to continuously update the estimates of the unmeasured states.

What are the benefits of using state feedback gain for observer/estimator?

State feedback gain for observer/estimator offers several benefits, including improved performance and stability of the control system, robustness to disturbances and uncertainties, and the ability to estimate unmeasured states that are not directly measurable.

How is state feedback gain for observer/estimator calculated?

The state feedback gain for observer/estimator is calculated using the mathematical model of the system and the desired performance specifications. This calculation involves solving a set of equations to determine the optimal feedback gains that will provide the best estimates of the unmeasured states.

What are some applications of state feedback gain for observer/estimator?

State feedback gain for observer/estimator is commonly used in various control systems, such as in aerospace, automotive, and industrial applications. It is also used in robotics, power systems, and other complex systems where accurate state estimation is crucial for optimal performance.

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