DNT 354 - Control Principle - PowerPoint PPT Presentation

System stability
1 / 17

  • Uploaded on
  • Presentation posted in: General

System Stability. DNT 354 - Control Principle. Date: 4 th September 2008 Prepared by: Megat Syahirul Amin bin Megat Ali Email: megatsyahirul@unimap.edu.my. Introduction System Stability Routh-Hurwitz Criterion Construction of Routh Table Determining System Stability. Contents.

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.

Download Presentation

DNT 354 - Control Principle

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

System stability

System Stability

DNT 354 - Control Principle

Date: 4th September 2008

Prepared by: MegatSyahirulAmin bin Megat Ali

Email: megatsyahirul@unimap.edu.my



System Stability

Routh-Hurwitz Criterion

Construction of Routh Table

Determining System Stability



  • Stability is the most important system specification. If a system is unstable, the transient response and steady-state errors are in a moot point.

  • Definition of stability, for linear, time-invariant system by using natural response:

    • A system is stable if the natural response approaches zero as time approaches infinity.

    • A system is unstable if the natural response approaches infinity as time approaches infinity

    • A system is marginally stable if the natural response neither decays nor grows but remains constant or oscillates.



  • Definition of stability using the total response bounded-input, bounded-output (BIBO):

    • A system is stable if every bounded input yields a bounded output.

    • A system is unstable if any bounded input yields an unbounded output.


Absolute relative stability

  • Absolute Stability:

    • The absolute stability indicates whether the system is stable or not.

    • This is indicated by the presence of one or more poles in RHP.

  • Relative Stability:

    • Relative stability refers to the degree of stability of a stable system described by above.

    • This depends on the transfer function of the system, which is represented by both the numerator (that yields the zeros) and denominator (that yields the poles).

    • This can then be referred to in the study of system response either in time or frequency domain.

Absolute & Relative Stability

System stability1

Stable systems have closed-loop transfer functions with poles only in the left half-plane.

System Stability

System stability2

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

System Stability

System stability3

Marginally stable systems have closed-loop transfer functions with only imaginary axis poles of multiplicity 1 and poles on the imaginary axis.

System Stability

Determining system stability

  • To determine stability of a given system, we have to consider the manner in which the system is operating, whether open-loop or closed-loop.

    • If the system is operating in closed-loop, first find the closed loop transfer function.

    • Find the closed-loop poles.

    • If the order of the system is 2 or less, factorise the denominator of the transfer function. This will provide the roots of the polynomial, or the closed-loop poles of the system.

    • If the system order is higher than 2nd-order, use construct Routh table and apply Routh-Hurwitz Criterion.

    • Any poles that exist on the RHP will indicate that the system is unstable.

Determining System Stability

Routh hurwitz criterion

  • Routh-Hurwitz Stability Criterion: The number of roots of the polynomial that are in the right half-plane is equal to the number of changes in the first column.

  • Systems with the transfer function having all poles in the LHP is stable.

  • Hence, we can conclude that a system is stable if there is no change of sign in the first column of its Routh table.

  • However, special cases exists when:

    • There exists zero only in the first column.

    • The entire row is zero.

Routh–Hurwitz Criterion

Routh hurwitz criterion1

  • If a polynomial is given by:

  • The necessary conditions for stability are:

    • All the coefficients of the polynomial are of the same sign. If not, there are poles on the right hand side of the s-plane.

    • All the coefficient should exist accept for a0.

Routh–Hurwitz Criterion


an, an-1, …, a1, a0 are constants

n = 1, 2, 3,…, ∞

Routh hurwitz criterion2

For the sufficient condition, we must form a Routh-array.

Routh-Hurwitz Criterion

Routh hurwitz criterion3

For the sufficient condition, we must formed a Routh-array.

Routh-Hurwitz Criterion

Construction of routh table

Construction of Routh Table

Equivalent closed-loop transfer function

Initial layout for Routh table

Completed Routh table

Determining system stability1

Example: How many roots exist on RHP?

Determining System Stability

Further reading

  • Chapter 6

    • Nise N.S. (2004). Control System Engineering (4th Ed), John Wiley & Sons.

    • Dorf R.C., Bishop R.H. (2001). Modern Control Systems (9th Ed), Prentice Hall.

Further Reading…

If we knew what we were doing it would not be called research would it

“If we knew what we were doing, it would not be called research, would it?…"

The End…

  • Login