Worked solution · University · Control systems
Second-order systems: transfer function, damping ratio and natural frequency
Turning a mass-spring-damper's equation of motion into a transfer function, then identifying its damping ratio and natural frequency.
Almost every second-order system a control systems module throws at you — electrical, mechanical, or a mix of both — reduces to the same two numbers once you have its transfer function: natural frequency and damping ratio. Between them, they tell you whether the system oscillates, how fast, and how quickly it settles. Here's a full derivation from a physical system through to both numbers.
Problem. A mass m = 2 kg is connected to a fixed wall by a spring of stiffness k = 50 N/m and a damper with damping coefficient b = 8 N·s/m, arranged in parallel. A horizontal force F(t) applied to the mass produces a displacement x(t). Find the transfer function X(s)/F(s), then identify the system's natural frequency and damping ratio.
Spring and damper act in parallel between the wall and the mass.
From equation of motion to transfer function
Sum of forces on the mass: the spring, the damper, and the applied force F(t).
Each time-derivative becomes a factor of s in the Laplace domain, assuming the mass starts at rest.
The transfer function is output over input, with zero initial conditions.
m = 2 kg, b = 8 N·s/m, k = 50 N/m.
Identifying ζ and ωₙ
The standard second-order form is in the denominator — dividing through by m puts the transfer function into that shape directly.
Dividing every term by m normalises the s² coefficient to 1.
The natural frequency depends only on stiffness and mass, never on damping.
ζ < 1, so the system is underdamped: it overshoots and oscillates before settling.
This is the frequency actually seen in the step response — slightly below the natural frequency, because damping slows the oscillation.
With ζ = 0.4, this mass will overshoot its final position and ring for a few cycles before settling — the same underdamped behaviour shows up in suspension systems, sensor housings and closed-loop control designs, which is exactly why ζ and ωₙ are the two numbers a control systems module keeps asking for.
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