Analog Intuition

Part 1 · Control Loops

Transfer Function Primer

Key point: a transfer function is how a box scales and delays a signal as frequency changes: \(V_{\mathrm{out}}(s)=H(s)\,V_{\mathrm{in}}(s)\). A resistor divider is a real number. An RC is not.

Divider vs RC

Scope at one \(f\) · Bode 10 Hz–10 MHz · solid = with \(R_s\) · dashed = ideal

fp
fz
H(s) = 1 + s 2π · 1 + s 2π ·

With ESR = 0 the zero is at infinity — H(s) is a single pole. Increase ESR to add a zero. Whether you see it depends on fz vs the test frequency.

Resistor divider

Resistive voltage divider Vin Rtop 90 Ω Vout Rbot 10 Ω
\(H = R_{\mathrm{bot}}/(R_{\mathrm{top}}+R_{\mathrm{bot}})\) — magnitude only, 0° phase.

RC low-pass

RC low-pass with capacitor ESR Vin R 10 Ω Vout Rs 0 Ω C 7.9 µF
Series \(R\), then shunt \(R_s\) in series with \(C\).

Scope — 20 kHz sine

V(in) divider RC phase lag outputs ×5 vs 1 V in

Bode · fp red · fz green · f_scope violet

Magnitude Phase Mag · Rs=0 Phase · Rs=0 f_scope
f div RC Δ|H| ESR Δφ Hdiv

Try it: match the divider’s −20 dB on the RC at 20 kHz (default \(R\), \(C\) are close). Then raise ESR and watch \(f_z\) walk in from infinity and the high-frequency Bode flatten.

Writes the schematic with these R, C, Rs, and sine frequency. Run is .tran (scope). Uncomment .ac on the sheet for the Bode.
Dig deeper — writing \(H(s)\) the right way

The schematic is a divider. That algebra is correct — and it hides the corners. Factor so each \(1+s/\omega\) is a Bode breakpoint you can point at (Basso’s low-entropy form). Drag \(R_s\) on the sticky bar; the live fractions below track it.

\[ Z_C(s)=R_s+\frac{1}{sC},\qquad H(s)=\frac{Z_C}{R+Z_C} =\frac{1+s R_s C}{1+s C(R+R_s)} =\frac{1+s/\omega_z}{1+s/\omega_p} \] \[ \omega_z=\frac{1}{R_s C},\qquad \omega_p=\frac{1}{C(R+R_s)} \]

If \(R_s=0\), \(\omega_z\to\infty\) and \(\omega_p=1/RC\) — a single pole. Finite ESR adds the zero and moves \(f_p\) a little, because the time constant is \(C(R+R_s)\), not \(RC\).

High entropy — parts hide the corners
H(s) = 1
Low entropy — each factor is a breakpoint
H(s) = 1 + s 2π · 1 + s 2π ·

\(f_p=\) · \(f_z=\) · if \(R_s=0\), \(f_p=\)