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Time Response of First Order System - Control Systems - Electrical Engineering (EE)

Time Response of First Order System

Time Response of First Order System
Time Response of First Order System

In a transfer function, when the highest power of s appears only in the denominator and that power is one, the system is a first-order system. A standard, widely used canonical form of a stable first-order linear time-invariant (LTI) system transfer function is

G(s) = K / (τ s + 1)

where K is the steady-state (DC) gain and τ (often written as T) is the time constant. The time constant characterises how quickly the system responds: a smaller τ gives a faster response; a larger τ gives a slower response. By definition, the time constant τ is the time required for the response to a unit step to reach approximately 63.2% of its final (steady-state) value.

Response of first-order system to a unit step input

Response of first-order system to a unit step input

Consider the system with transfer function G(s) = K / (τ s + 1) and a unit step input r(t) = u(t). The Laplace transform of the unit step is R(s) = 1/s. The output Y(s) is

Y(s) = G(s) · R(s)

Y(s) = K / (τ s + 1) · 1/s

Response of first-order system to a unit step input
Response of first-order system to a unit step input

Use partial fraction expansion to express Y(s) in terms whose inverse Laplace transforms are standard.

Y(s) = K / [s(τ s + 1)]

Assume

Y(s) = A/s + B/(τ s + 1)

Multiply both sides by s(τ s + 1) to find constants

K = A(τ s + 1) + B s

Equate coefficients of like powers of s:

Coefficient of s: 0 = A τ + B

Constant term: K = A

Thus A = K and B = -K τ.

Response of first-order system to a unit step input

Therefore

Y(s) = K/s - Kτ/(τ s + 1)

Response of first-order system to a unit step input
Response of first-order system to a unit step input
Response of first-order system to a unit step input

Taking inverse Laplace term by term gives the time-domain response

y(t) = K [1 - e(-t/τ)] · u(t)

For the common unity-gain case (K = 1) the response simplifies to

y(t) = 1 - e(-t/τ)

At t = τ, y(τ) = 1 - e(-1) ≈ 0.632 × final value, which is the origin of the 63.2% definition of the time constant.

Practical timing measures for first-order systems

The following approximate relations are useful in design and analysis:

  • Time constant: τ (1 time constant)
  • Rise time (10%-90%): approximately 2.2 τ
  • Settling time (to within 2%): approximately 4 τ
  • Settling time (to within 1%): approximately 5 τ

Time response of a first-order system to a unit ramp input

Time response of a first-order system to a unit ramp input
Time response of a first-order system to a unit ramp input

Let the input be a unit ramp r(t) = t · u(t). Its Laplace transform is R(s) = 1 / s2. For the same forward transfer function G(s) = K / (τ s + 1), the output is

Y(s) = G(s) · R(s) = K / (τ s + 1) · 1 / s2

Time response of a first-order system to a unit ramp input

Perform partial fraction expansion of Y(s):

Y(s) = K / [s2(τ s + 1)]

Assume

Y(s) = A/s + B/s2 + C/(τ s + 1)

Multiply both sides by s2(τ s + 1) and equate coefficients to solve for A, B, C.

Result (after equating coefficients):

B = K

A = -K τ

C = K τ2

So

Y(s) = -K τ / s + K / s2 + K τ2 / (τ s + 1)

Time response of a first-order system to a unit ramp input
Time response of a first-order system to a unit ramp input

Take inverse Laplace term by term to obtain y(t):

y(t) = -K τ + K t + K τ e(-t/τ)

Rearrange

y(t) = K t - K τ [1 - e(-t/τ)]

Time response of a first-order system to a unit ramp input
Time response of a first-order system to a unit ramp input

Define the tracking error e(t) = r(t) - y(t). For r(t) = t,

e(t) = t - [K t - K τ + K τ e(-t/τ)]

e(t) = (1 - K) t + K τ [1 - e(-t/τ)]

For the unity forward-gain case (K = 1), the transient term proportional to t cancels and the error reduces to

e(t) = τ [1 - e(-t/τ)]

The steady-state error as t → ∞ is therefore

ess = τ (for K = 1)

Thus, for a first-order system without an integrator in the forward path, the steady-state error to a unit ramp is finite and equals the time constant τ (in the unity-gain forward path case). A smaller τ gives a smaller steady-state ramp error.

Response of first-order system to a unit impulse input

For a unit impulse input r(t) = δ(t), the Laplace transform is R(s) = 1. The output transform is

Y(s) = G(s) · R(s) = K / (τ s + 1)

Response of first-order system to a unit impulse input

Take inverse Laplace:

y(t) = (K / τ) e(-t/τ) · u(t)

Response of first-order system to a unit impulse input

This is the impulse response of the first-order system. The impulse response magnitude at t = 0+ is K/τ and then decays exponentially with time constant τ.

Summary 

A stable first-order LTI system with transfer function G(s) = K/(τ s + 1) shows simple exponential behaviour for canonical inputs:

  • Unit step: y(t) = K [1 - e(-t/τ)]; final value = K; reaches 63.2% of final value at t = τ.
  • Unit ramp: y(t) = K t - K τ [1 - e(-t/τ)]; for K = 1, steady-state error to unit ramp = τ.
  • Unit impulse: y(t) = (K/τ) e(-t/τ); decays with time constant τ.

Key practical design points:

  • Make τ small to obtain fast responses and small steady-state ramp error (for the forward-path unity case).
  • Adding integrators (poles at the origin in the open-loop transfer function) changes the system type and eliminates or reduces steady-state errors to certain input types; for example, a system of type 1 has zero steady-state error to a ramp.
  • Use the approximate relations for rise time and settling time to relate τ to performance specifications: rise time ≈ 2.2 τ (10%-90%), settling time ≈ 4 τ (2% criterion), or ≈ 5 τ (1% criterion).
The document Time Response of First Order System - Control Systems - Electrical Engineering (EE) is a part of the Electrical Engineering (EE) Course Control Systems.
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FAQs on Time Response of First Order System - Control Systems - Electrical Engineering (EE)

1. What is the response of a first-order system to a unit step input?
Ans. The response of a first-order system to a unit step input is characterised by a gradual increase from zero to a steady-state value. The system's output typically follows an exponential behaviour, described by the equation y(t) = 1 - e^(-t/τ), where τ is the time constant of the system. The time constant determines how fast the system responds to the input, with a smaller τ leading to a quicker response.
2. How does a first-order system respond to a unit ramp input?
Ans. The response of a first-order system to a unit ramp input can be expressed as a linear function over time. The output increases initially and then approaches a steady-state slope. Specifically, the response is given by y(t) = (t - τ)(1 - e^(-t/τ)), where τ is the time constant. This behaviour indicates that while the output follows the ramp input, it does not track it perfectly, leading to a steady-state error.
3. What is the nature of the response of a first-order system to a unit impulse input?
Ans. The response of a first-order system to a unit impulse input is given by the equation y(t) = (1/τ)e^(-t/τ) for t ≥ 0. This indicates that the system reacts instantaneously to the impulse with a spike in output, which then decays exponentially over time. The time constant τ determines the rate at which the response diminishes, with a smaller τ resulting in a quicker decay.
4. Can you summarise the key characteristics of first-order system responses?
Ans. The key characteristics of first-order system responses include: 1. Exponential behaviour in response to step and impulse inputs. 2. Linear behaviour in response to ramp inputs. 3. The time constant τ, which influences the speed of the system's response. 4. A steady-state value achieved after a step input, and a steady-state error for ramp inputs. 5. The response decays over time for impulse inputs, governed by the time constant.
5. Why is understanding first-order system responses important in control systems?
Ans. Understanding first-order system responses is crucial in control systems as it helps engineers design and predict system behaviour under different input conditions. Knowledge of these responses allows for better tuning of system parameters, ensuring stability and desired performance in applications such as automation, robotics, and process control. It provides insights into how quickly a system can react to changes, which is vital for effective control strategies.
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