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Question

For a stable system, poles of the transfer function

The correct answer is

should lie entirely in the left half of the s-plane

System Stability and Pole Location in Transfer Functions

In control systems, the stability of a linear time-invariant (LTI) system is a crucial characteristic that determines its behavior over time. A stable system is one where a bounded input produces a bounded output. For example, if you give a small push to a stable system, its response will eventually settle down. The stability of a system described by its transfer function is directly related to the location of its poles in the complex s-plane.

Understanding Transfer Functions and Poles

  • A transfer function is a mathematical representation, typically in the Laplace domain, that relates the output of a system to its input. It is defined as the ratio of the Laplace transform of the output to the Laplace transform of the input, assuming all initial conditions are zero.
  • The poles of a transfer function are the roots of the denominator polynomial when the transfer function is expressed as a ratio of two polynomials, \( G(s) = \frac{N(s)}{D(s)} \). These roots are the values of 's' for which the denominator \( D(s) \) becomes zero, making the transfer function infinite. Pole locations are fundamental in determining the system's dynamic response and stability.

Pole Location and System Stability Criteria

The s-plane is a complex plane where the horizontal axis represents the real part (\( \sigma \)) and the vertical axis represents the imaginary part (\( j\omega \)) of the complex variable 's'. The location of the poles in this s-plane dictates the stability of the system.

  • Stable System: For a system to be considered stable, all the poles of its transfer function must lie strictly in the left half of the s-plane (LHP). This means that the real part of every pole must be negative, i.e., \( \Re(s) < 0 \). When poles are in the LHP, the transient response of the system decays over time, leading to a stable and bounded output.
  • Marginally Stable System: A system is marginally stable if it has no poles in the right half of the s-plane (RHP), and some poles lie directly on the imaginary axis (the \( j\omega \)-axis). However, these poles on the imaginary axis must be non-repeated (simple poles). If there are repeated poles on the \( j\omega \)-axis, the system becomes unstable.
  • Unstable System: A system is unstable if even one pole of its transfer function lies in the right half of the s-plane (RHP), meaning its real part is positive (\( \Re(s) > 0 \)). An unstable system's output will grow unbounded over time, even for a bounded input. The presence of repeated poles on the \( j\omega \)-axis also leads to instability.

Therefore, for a stable system, the poles of the transfer function must be located entirely in the left half of the s-plane. This ensures that any disturbances or initial conditions will lead to responses that eventually diminish to zero, and the system will remain in a controlled state.

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Important Questions from Stability Analysis

  1. If a system has simple poles lying on the imaginary axis and no poles to its right, it is

  2. The number of sign changes in the first column of the Routh's array denotes:

  3. The closed loop transfer function of a system is \(T\left( s \right) = \frac{{\left( {s + 8} \right)\left( {s + 6} \right)}}{{{s^5} - {s^4} + 4{s^3} - 4{s^2} + 3s - 2}}\). The function of poles in RHP and LHP are

  4. The margin between actual gain and critical gain is a measure of

  5. The characteristic equation \({s^3} + 8{s^2} + 14s + 24 = 0\) represents ______

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