Lecture 11 ME 176 5 Stability

21
ME 176 Control Systems Engineering Department of Mechanical Engineering Stability

Transcript of Lecture 11 ME 176 5 Stability

Page 1: Lecture 11 ME 176 5 Stability

ME 176Control Systems Engineering

Department of

Mechanical Engineering

Stability

Page 2: Lecture 11 ME 176 5 Stability

Background: Design Process

Department of

Mechanical Engineering

Page 3: Lecture 11 ME 176 5 Stability

Background: Analysis & Design Objectives

"Analysis is the process by which a system's performance is determined."

"Design is the process by which a systems performance is created or changed."

Transient ResponseSteady State ResponseStability

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Background: Stability

Characteristic : most important system requirement.Scope :

Linear - the relationship between the input and the output of the system satisfies the superposition property. If the input to the system is the sum of two component signals:

In general:

If, then,

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Background: Stability

Characteristic : most important system requirement.Scope :

Time invariant systems - are systems that can be modeled with a transfer function that is not a function of time except expressed by the input and output.

"Meaning, that whether we apply an input to the system now or T seconds from now, the output will be identical, except for a time delay of the T seconds. If the output due to input x (t ) is y (t ), then the output due to input x (t − T ) is y (t − T ). More specifically, an input affected by a time delay should effect a corresponding time delay in the output, hence time-invariant."

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Background: Definitions In terms of natural response:

Stable : natural response approaches 0 as time approaches infinity.

Unstable : natural response grows within bounds as time approaches infinity.

Marginally Stable : natural response neither decays nor grows but remains constant or oscillates as time approaches infinity.

In terms of total response:

Stable : if every bounded input yields a bounded output.

Unstable : if any bounded input yields an unbounded output.

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Background: Definitions In terms of poles:

Stable : for closed-loop transfer functions with poles only in the left hand plane.

Unstable : for closed-loop transfer functions with at least one pole in the right half-plane and/or poles of multiplicity greater than 1on the imaginary axis.

Marginally Stable : for closed-loop transfer functions with only imaginary axis poles of multiplicity 1 and poles in the left half-plane.

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Routh-Hurwitz Criteria: A method which allows one to tell how many closed-loops system poles are in the left half-plane, in the right half-plane, and on the imaginary axis. Steps:

1. Generate the data table, called a Routh table. 2. Interpret the Routh table, to tell how where poles are located.

Power of method is not in the analysis, but in the design. For unknown parameters, it allows for a closed form expression for the range of the unknown parameters.

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Routh-Hurwitz Criteria: Generating Table

Department of

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Coefficientsof s.

determinant entries of previous rows.

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Routh-Hurwitz Criteria: Generating Table

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1 31

0

10 1 1030 103--- ------ 0

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Routh-Hurwitz Criteria: Interpreting Table

Number of roots of the polynomial that are in the right half-plane is equal to the number of sign changes in the first column.

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1 31

0

10 1 1030 103--- ------ 0

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Negative

Routh-Hurwitz Criteria: Special Cases Having zero only in the first column of the row (epsilon method)

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1 3

2

5

6 3

7/2 0

3 0

3 0

0 0

0

+

+

+

-

+

+

Positive

+

+

-

+

+

+

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Routh-Hurwitz Criteria: Special Cases Having zero only in the first column of the row (reciprocal method)

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3 6

5

2

3 1

1.4 0

1 0

0

0 0

0

4.2

1.33

-1.75

1

+

+

+

-

+

+

Positive

+

+

-

+

+

+

Negative

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Routh-Hurwitz Criteria: Special Cases Entire row consists of zeros

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1 6

7 1

8

42 6 56 8

0 12 3 0 0 0

8 0

0

0 0

0

0 4 1

3

1/3

8

---

---

---

--- -- --- -- --- --

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Routh-Hurwitz Criteria: Special Cases Entire row consists of zeros : Analysis

"A row of zero is caused when there is a factor of an even polynomial" Characteristics of even polynomials (only even powers of s):

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1. Roots on jw axis mean there are zero roots, and it is only with such roots can there be roots on jw axis.

2. Row previous to the zeros contains the even polynomial which a factor of original polynomial.

3. Everything from zero row down is a test only of the even polynomial.

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Routh-Hurwitz Criteria: Special Cases Entire row consists of zeros

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Routh-Hurwitz Criteria: Example Find number of poles on the right hand, left hand, and jw axis of the s-plane.

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Characteristics: 2 sign changes.No zero rows.

Pole locations:

two right hand polestwo left hand poles

System Analysis:

Unstable

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Routh-Hurwitz Criteria: Example Find number of poles on the right hand, left hand, and jw axis of the s-plane.

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Characteristics for e as positive: 2 sign changes No zero rows.

Pole locations:

two right hand polestwo left hand poles

System Analysis:

Unstable

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Routh-Hurwitz Criteria: Example Find number of poles on the right hand, left hand, and jw axis of the s-plane.

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Characteristics for e as positive: 2 sign changes No zero rows.

Pole locations:

two right hand polestwo left hand poles

System Analysis:

Unstable

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Routh-Hurwitz Criteria: Example Find number of poles on the right hand, left hand, and jw axis of the s-plane.

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Characteristics: Zero rows at power 5.Sign change after power 5.

Pole locations:

two right hand polesfour left hand poles 2 at jw axis

System Analysis:

Unstable

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Routh-Hurwitz Criteria: Design Find K, that will cause the system to be stable, unstable, marginally stable.

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Characteristics: K<1386 : StableK>1386 : UnstableK = 1386 : Marginally Stable

case K=1386