RMS value of a sawtooth pulse

Calculator and formulas for calculating the RMS value of a sawtooth pulse voltage

Sawtooth Pulse Calculator

Sawtooth pulse voltage

Enter the values for pulse duration (ti), period duration (T), and the peak voltage Us of the pulse.

ms
ms
V
Results
RMS voltage:
Mean voltage:

Sawtooth pulse & parameters

Sawtooth pulse
Parameters
\(\displaystyle U_s\) = Peak voltage [V]
\(\displaystyle U_{eff}\) = RMS voltage [V]
\(\displaystyle U_m\) = Mean voltage [V]
\(\displaystyle T\) = Period duration [ms]
\(\displaystyle t_i\) = Pulse duration [ms]
Basic formulas
\[U_{eff} = \sqrt{\frac{t_i}{T \cdot 3}} \cdot U_s\]
\[U_m = \frac{U_s \cdot t_i}{2 \cdot T}\]

Example calculations

Practical calculation examples

Example 1: 50% duty cycle

Given: Us = 10V, ti = 50ms, T = 100ms

\[U_{eff} = \sqrt{\frac{50}{100 \cdot 3}} \cdot 10V = \sqrt{\frac{1}{6}} \cdot 10V = 4{,}08V\]
\[U_m = \frac{10V \cdot 50ms}{2 \cdot 100ms} = \frac{500}{200} = 2{,}5V\]
Typical sawtooth signal with 50% duty cycle
Example 2: 25% duty cycle

Given: Us = 12V, ti = 25ms, T = 100ms

\[U_{eff} = \sqrt{\frac{25}{100 \cdot 3}} \cdot 12V = \sqrt{\frac{1}{12}} \cdot 12V = 3{,}46V\]
\[U_m = \frac{12V \cdot 25ms}{2 \cdot 100ms} = \frac{300}{200} = 1{,}5V\]
Low duty cycle for energy saving
Example 3: Oscilloscope application

Given: Us = 5V, ti = 2ms, T = 10ms (20% duty cycle)

\[U_{eff} = \sqrt{\frac{2}{10 \cdot 3}} \cdot 5V = \sqrt{\frac{1}{15}} \cdot 5V = 1{,}29V\]
\[U_m = \frac{5V \cdot 2ms}{2 \cdot 10ms} = \frac{10}{20} = 0{,}5V\]
Typical for time base generators
Duty cycle effects for sawtooth
RMS factor:
Formula: √(ti/(T·3))
At 50%: √(1/6) ≈ 0.408
At 25%: √(1/12) ≈ 0.289
At 10%: √(1/30) ≈ 0.183
Mean value factor:
Formula: ti/(2·T)
At 50%: 0.25
At 25%: 0.125
At 10%: 0.05

Formulas for sawtooth pulse

What is a sawtooth pulse?

The RMS value (Root Mean Square) of a sawtooth pulse can be calculated using the general formula for the RMS value of a periodic signal. It is defined as the DC value with the same thermal effect as the considered AC value. For sawtooth pulse voltages, it is calculated as follows.

Definition of RMS value

In a sawtooth pulse, the voltage rises linearly from 0V to the peak value Us over the pulse duration ti, and then remains at 0V for the rest of the period. The entered parameters for T and ti must have the same unit.

RMS value
\[U_{eff} = \sqrt{\frac{t_i}{T \cdot 3}} \cdot U_s\]

Depends on the duty cycle and factor 1/√3.

Mean value
\[U_m = \frac{U_s \cdot t_i}{2 \cdot T}\]

Half the value of the rectangular pulse.

Mathematical derivation

Calculation

For a sawtooth pulse over a period T:

\[U_{eff} = \sqrt{\frac{1}{T} \int_0^T u^2(t) \, dt}\]
For 0 ≤ t ≤ ti: u(t) = Us · t/ti (linearly rising)
For ti < t ≤ T: u(t) = 0
\[U_{eff} = \sqrt{\frac{1}{T} \int_0^{t_i} \left(\frac{U_s \cdot t}{t_i}\right)^2 dt} = U_s \sqrt{\frac{t_i}{3T}}\]

Practical applications

Measurement technology
  • Oscilloscope time base
  • Sweep generators
  • Voltage ramps
  • ADC test patterns
Signal processing
  • Frequency modulation
  • VCO control
  • Wobbler signals
  • Linearization
Control engineering
  • Ramp generator
  • Setpoint specification
  • Integrator test
  • Time control

Comparison with other signal forms

RMS factors at 50% duty cycle
Rectangular pulse:
Ueff = Us/√2 ≈ 0.707
Triangular pulse:
Ueff = Us/√3 ≈ 0.577
Sawtooth pulse:
Ueff = Us/√6 ≈ 0.408
Sine pulse:
Ueff = Us/2 = 0.5

Spectral properties

Harmonics in sawtooth pulses

Sawtooth pulses contain all harmonics with a specific distribution:

DC component: Us · D/2 (D = duty cycle)
Fundamental: Amplitude proportional to sin(πD)/(πD)
Harmonics: Amplitude ∝ sin(nπD)/(nπD)²
Special feature: Harmonics decrease as 1/n² (faster than square wave)

Design notes

Practical considerations
  • Linearity: Constant rise rate important for precision
  • Bandwidth: Fast rising edge requires high bandwidth
  • Offset errors: Can affect linearity
  • Temperature stability: Important for precise ramp generators
  • Reset: Fast reset to 0V required
  • Load: Capacitive loads can degrade linearity

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