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Lecture 23 - Deadbeat response design when some of the poles and zeros are on or outside the unit circle, Control Systems

 

There are some practical issues in deadbeat response design.

Dead beat response design depends on the cancellation of poles and zeros of the plant transfer function.

If the poles are on or outside the unit circle, imperfect cancellation may lead to instability.

Thus, for practical constraints, one should not attempt to cancel poles which are on or outside the unit circle.


1 Deadbeat response design when some of the poles and zeros are on or outside the unit circle

Let the plant transfer function be

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

where, K and L are the number of zeros and poles on or outside the unit circle and B (z) is a rational transfer function in z −1 with poles and zeros inside the unit circle. This implies

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

Since we should not cancel poles or zeros which are on or outside unit circle by the controller Dc(z), we have to choose M (z) such that these get canceled out.

Thus M (z) must contain the factors

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

and (1 − M (z)) must contain the factors

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

So,

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

and

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

P equals either the order of the poles of R(z ) or the order of poles of Gp(z ) at z = 1 which ever is greater. Truncation depends on the following.

1. The order of poles of M (z) and (1 − M (z)) must be equal.

2. Total number of unknowns must be equal to the order of M (z) so that they can be solved independently.


Example 1:

Let us consider the plant transfer function as

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

For Unit Step Input:

Gp(z) has a zero at −2.8 and pole at z = 1. Therefore M (z) must contain the term 1 + 2.8z−1 and (1 − M (z)) should contain 1 − z−1.

Gp(z) has two more poles than zeros. This implies

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

Since minimum order of M (z) is 3, we have 3 unknowns in total. Combining the 2 equations

a1 = 1 a1 − a2 = m2
a2 = 2.8m2
⇒ 1 − 2.8m2 = m2
Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)
= 0.26
a2 = 2.8 � 0.26 = 0.73
Thus
M (z) = 0.26z−2(1 + 2.8z−1)
and
1 − M (z) = (1 − z−1)(1 + z−1 + 0.73z−2)

Putting the expressions of M (z) and 1 − M (z) in the controller equation

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

Thus

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

One should note that poles on or outside the unit circle are still present in the output expression. c(kT ) tracks the unit step perfectly after 3 sampling periods (first term has a non unity coefficient). The output response is shown in Figure 1.

If Gp(z ) did not have any poles or zeros on or outside the unit circle it would take two sampling

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

Figure 1: Deadbeat Response of The System in Example 1 periods to track the step input when Gp(z) has two more poles than zeros.


Example 2:

Let us consider the plant transfer function as

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

For Unit Step Input:

Gp(z) has a zero at −2.8 and two poles at z = 1. The number of poles exceeds the number of zeros by one.

M (z) must contain the term 1 + 2.8z−1 and 1 − M (z) should contain (1 − z−1)2.

This implies

M (z) = (1 + 2.8z−1)(m1z−1 + m2z−2)

1 − M (z) = (1 − z−1)2(1 + a1z−1)

Combining the 2 equations and equating the like powers of z−1,

m1 = 2 − a1
2.8m1 + m2 = 2a1 − 1
2.8m2 = −a1

The solutions of the above equations are m1 = 0.72, m2 = −0.457 and a= 1.28. Thus

M (z) = (0.72z−1 − 0.457z−2)(1 + 2.8z−1)

and

1 − M (z) = (1 − z−1)2(1 + 1.28z−1)

Putting the expressions of M (z) and 1 − M (z) in the controller equation

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

Thus

C (z) = M (z)R(z) 

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

The output response is plotted in Figure 2.

Note that although c(kT ) tracks the unit step perfectly after 3 sampling periods, the maximum overshoot is 128 percent.

This is because of the fact that the digital plant is a type 2 system, hence a deadbeat response without overshoot cannot be obtained for a unit step input.

Thus one can conclude that it is not always possible to design dead beat response without any over shoot.

Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

Figure 2: Deadbeat Response of The System in Example 2

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FAQs on Lecture 23 - Deadbeat Response Design - Electrical Engineering (EE)

1. What is deadbeat response design and why is it important in control systems?
Ans. Deadbeat response design refers to the design of a control system in such a way that it achieves a desired response in the shortest possible time without any overshoot or oscillations. It is important in control systems because it allows for precise and efficient control of a system, leading to improved performance and stability.
2. How is the deadbeat response achieved in control systems?
Ans. The deadbeat response is achieved by carefully designing the control system's parameters, such as the controller gains and time constants. By tuning these parameters, the control system can respond quickly to changes in the input and settle at the desired output without any overshoot or oscillations.
3. What are the advantages of using deadbeat response design in control systems?
Ans. Using deadbeat response design in control systems offers several advantages. Firstly, it allows for fast and accurate response to changes in the input, leading to improved system performance. Secondly, it eliminates the possibility of overshoot or oscillations, ensuring stability in the control system. Lastly, it simplifies the control system design process by providing a clear and well-defined target response.
4. Are there any limitations or drawbacks of deadbeat response design?
Ans. While deadbeat response design offers many benefits, it also has some limitations. One limitation is that achieving a deadbeat response may require high control gains, which can lead to increased sensitivity to noise and disturbances. Additionally, deadbeat response design may not be suitable for systems with complex dynamics or large uncertainties, as it relies on accurate knowledge of the system's parameters.
5. How can deadbeat response design be implemented in practical control systems?
Ans. Deadbeat response design can be implemented in practical control systems through various techniques. One common approach is to use state feedback control, where the control input is a linear combination of the system's states. By designing the state feedback gains appropriately, a deadbeat response can be achieved. Another approach is to use pole placement techniques, where the poles of the closed-loop system are placed at desired locations to achieve the desired response. Both of these techniques require a good understanding of the system dynamics and careful design of the control parameters.
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