Electrical & Electronics Engineering / Superposition Theorem
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LABORATORY 02 · ELECTRICAL & ELECTRONICS ENGINEERING

Superposition Theorem lab report

A worked superposition theorem lab report with sample observation tables, regression plots, calculations, and error analysis.

WORKED EXAMPLE · BENCHMARK OBSERVATIONS

A complete example electrical engineering laboratory report.

Simulated demonstration data.

This report illustrates formal electrical engineering data reduction, instrument calibration tares, and circuit parameter estimation. Replace its observations with your own experimental telemetry when preparing an electrical engineering laboratory report submission.

Student: __________________Student ID: __________________Course: __________________Date: __________________Partner: __________________Instructor: __________________

1. Title and aim

Verification of Superposition Theorem in Multi-Source DC Resistive Networks. Verify the Superposition Theorem in a multi-loop linear DC circuit containing multiple independent voltage sources by measuring individual and combined branch currents.

2. Abstract

Laboratory evaluation of Verification of Superposition Theorem in Multi-Source DC Resistive Networks was conducted across six calibrated setpoints. Measured telemetry was linearized, yielding a correlation coefficient R² = 1.000000. The experimental parameter Transfer Transconductance Sensitivity Slope was estimated as 0.4500 mA/V, comparing against the reference benchmark of 0.4500 mA/V with a relative percentage deviation of 0.0000%.

3. Apparatus and fixed settings

4. Theory and graph choice

The experimental analysis of verification of superposition theorem in multi-source dc resistive networks investigates the electrotechnical behavior of multi-source resistive mesh. This university laboratory module focuses on linearity, independent sources deactivation & summation principle, establishing accurate mathematical transfer characteristics across standard operational domains.

I_3 = 0.4500 · V_1 + 1.2500

Plotting Primary source voltage V_1 (V) on the horizontal axis and Branch current I_3 (mA) on the vertical axis yields a linear characteristic whose slope verifies the Superposition Theorem analytical model.

5. Method

  1. Inspect all circuit connections, breadboard jumpers, and terminal blocks. Verify that instrument ground planes are tied to earth and execute zero tare on all digital meters.
  2. Energize the regulated supply, set baseline operating thresholds, and calibrate the source voltage v_1 using the precision standard reference meter.
  3. Increment the source voltage v_1 systematically across the designated experimental range (2.0 to 12.0 V), permitting thermal settling at each setpoint.
  4. Record the primary output metric (Branch Current I_3) alongside auxiliary telemetry. Verify waveform symmetry, DC offset, and harmonic integrity on the oscilloscope.
  5. Execute repeated forward and reverse sweeps to detect hysteresis, thermal drift, or non-linear saturation effects across the device under test (DUT).
  6. Reduce source excitation smoothly to zero, de-energize all primary supplies, discharge residual capacitive elements, and export raw telemetry to the data buffer.

6. Observations and calculation table

All electrical engineering observations use strictly controlled 64-bit IEEE 754 precision buffers. Residuals are computed relative to the ordinary least-squares regression line.

Table 1. Six simulated observations; x and y represent transformed electrical engineering metrics.
No.Primary Source Voltage V_1 (V)Branch Current I_3 (mA)Primary source voltage V_1 (V)Branch current I_3 (mA)Fitted yResidual
12.02.152.00002.15002.15000.0000
24.03.054.00003.05003.05000.0000
36.03.956.00003.95003.95000.0000
48.04.858.00004.85004.85000.0000
510.05.7510.00005.75005.75000.0000
612.06.6512.00006.65006.65000.0000

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

x = 2.0000; y = 2.1500; fitted_y = 0.4500 · x + 1.2500 = 2.1500

8. Graph, gradient and final calculation

1.501.923.702.925.903.908.104.8910.305.8812.506.88Primary source voltage V_1 (V)Branch current I_3 (mA)

Circular markers represent empirical circuit observations. The solid line represents the ordinary least-squares linear fit.

x̄ = 7.0000; ȳ = 4.4000
Σ(x − x̄)² = 70.0000
Σ(x − x̄)(y − ȳ) = 31.5000
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = 0.45000000
b = ȳ − mx̄ = 1.25000000
Transfer Transconductance Sensitivity Slope = 0.45000 mA/V

9. Uncertainty and comparison

Percentage difference = |estimate − theoretical value| / |theoretical value| × 100 = 0.0000%.

For n = 6 observations, Σresidual² = 3.944e-31; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 3.753e-17. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 2.923e-16.

Propagating the fit parameters yields a fit standard error of 3.753e-17 mA/V, with an ideal coefficient of determination R² = 1.000000.

Instrumental and regression uncertainty for Superposition Theorem is constrained within 0.02% of full-scale calibration standards.

10. Result and discussion

Transfer Transconductance Sensitivity Slope = 0.4500 mA/V
Theoretical reference value: 0.4500 mA/V

Experimental observations across all test trials demonstrate strict agreement with theoretical circuit models. OLS regression slope evaluated to 0.450000 with intercept 1.250000, validating the governing equation I_3 = 0.4500 · V_1 + 1.2500 with R² = 1.000000.

11. Precautions and limitations

Assumes ideal linear operating conditions without thermal breakdown or non-linear core saturation Calibrated using the Multi-Source Resistive Mesh under controlled temperature and 64-bit IEEE 754 precision instrumentation buffers. Ordinary least-squares regression yields R² > 0.99999.

12. Conclusion

The experimental determination of Verification of Superposition Theorem in Multi-Source DC Resistive Networks confirmed the theoretical model within an experimental uncertainty of 0.0000%. The standard calibration protocol ensures reproducible laboratory characterization.

In-Depth Technical Supplement & Circuit Engineering Derivation

1. Title and Objective

Verification of Superposition Theorem in Multi-Source DC Resistive Networks. Verify the Superposition Theorem in a multi-loop linear DC circuit containing multiple independent voltage sources by measuring individual and combined branch currents. This formal laboratory report documents experimental data acquisition, mathematical model calibration, regression analysis, and error propagation for superposition theorem.

2. Abstract

An experimental investigation of superposition theorem was conducted using precision laboratory instrumentation across six systematic setpoints of source voltage v_1 ranging from 2.0 to 12.0 V. Measured branch current i_3 data were logged using 6.5-digit digital multimeters and digital storage oscilloscopes. Ordinary least-squares regression yielded an empirical calibration line of I_3 = 0.4500 · V_1 + 1.2500 with a coefficient of determination R² = 1.000000. The derived experimental parameter Transfer Transconductance Sensitivity Slope was evaluated as 0.45 mA/V, demonstrating complete agreement with theoretical benchmark expectations within 0.02% experimental error.

3. Experimental Apparatus & Standard Settings

  • Superposition Theorem Precision Workstation: Provides regulated excitation, calibrated terminal access, and low-parasitic interconnects for linearity, independent sources deactivation & summation principle.
  • True-RMS Digital Multimeter (6.5-digit Keysight / Fluke): Measures terminal voltages, branch currents, and precision DC/AC parameters with ±0.0035% baseline accuracy.
  • Dual-Channel Digital Storage Oscilloscope (100 MHz, 1 GSa/s): Captures time-domain waveforms, phase shifts, transient dynamics, and harmonic spectra for superposition theorem.
  • Regulated Linear DC / AC Variable Power Source: Supplies low-noise, ripple-free voltage and current excitation with adjustable current limiting.
  • Calibrated Decade Resistance & Component Substitution Box: Provides precision 0.1% tolerance standard passive values to establish calibrated source voltage v_1 conditions.
  • Four-Terminal Kelvin Lead Wire & BNC Coaxial Cable Set: Minimizes lead resistance, inductive pickup, and ambient EMI interference across all test ports.
  • Environmental Ambient Conditions: Ambient laboratory temperature 23.5 ± 0.5 °C; relative humidity 45 ± 5%; atmospheric pressure 101.3 kPa.
  • Excitation Calibration Settings: Primary source stabilized within ±0.01% using closed-loop linear voltage regulation.

4. Theory & Graphical Coordinate Selection

According to the principles of superposition theorem, the circuit response follows the linear transformation:

I_3 = 0.4500 · V_1 + 1.2500

To evaluate the intrinsic physical parameter (Transfer Transconductance Sensitivity Slope), the experimental data are plotted with Primary source voltage V_1 (V) on the horizontal abscissa and Branch current I_3 (mA) on the vertical ordinate. The gradient of the resulting least-squares linear line directly yields the parameter magnitude.

5. Step-by-Step Experimental Method

  1. Visual Inspection & Pre-Flight Zero Tare: Inspect all circuit connections, breadboard jumpers, and terminal blocks. Verify that instrument ground planes are tied to earth and execute zero tare on all digital meters.
  2. Excitation Source & Baseline Calibration: Energize the regulated supply, set baseline operating thresholds, and calibrate the source voltage v_1 using the precision standard reference meter.
  3. Systematic Parameter Variation & Settling: Increment the source voltage v_1 systematically across the designated experimental range (2.0 to 12.0 V), permitting thermal settling at each setpoint.
  4. Multi-Meter & Oscilloscope Waveform Acquisition: Record the primary output metric (Branch Current I_3) alongside auxiliary telemetry. Verify waveform symmetry, DC offset, and harmonic integrity on the oscilloscope.
  5. Cross-Validation & Redundant Trial Verification: Execute repeated forward and reverse sweeps to detect hysteresis, thermal drift, or non-linear saturation effects across the device under test (DUT).
  6. Shutdown, De-energization & Data Archival: Reduce source excitation smoothly to zero, de-energize all primary supplies, discharge residual capacitive elements, and export raw telemetry to the data buffer.

6. Raw Experimental Observations & Data Tabulation

All experimental observations were recorded under steady-state thermal and electrical equilibrium. The table below summarizes the recorded telemetry across the experimental domain.

Table 1. Experimental observation telemetry for Superposition Theorem.
Trial # Primary Source Voltage V_1 (V) Branch Current I_3 (mA) Transformed x Transformed y Residual
12.00.92.0000.9000.000
24.01.84.0001.8000.000
36.02.76.0002.7000.000
48.03.68.0003.6000.000
510.04.510.0004.5000.000
612.05.412.0005.4000.000

7. Worked Calculation for Representative Observation

For Trial 3 (Source Voltage V_1 = 6.0 V):

x_3 = 6.0 V
y_3 = m \cdot x_3 + b = I_3 = 0.4500 · 6.0 + 1.2500
Derived Parameter Value = 0.45 mA/V

8. Regression Analysis, Gradient & Parameter Extraction

Ordinary least-squares (OLS) linear regression was performed across the six observation pairs. The regression statistics are summarized below:

Slope m = 0.4500 mA/V
Intercept b = Calculated baseline offset
Correlation Coefficient R² = 1.000000
Standard Error of Slope SE_m = ±0.00008 mA/V

9. Uncertainty Propagation & Comparison with Reference

Measurement uncertainty was calculated following the ISO Guide to the Expression of Uncertainty in Measurement (GUM). Type A uncertainty evaluated from observation residuals yielded u_A = 0.0002. Type B instrumental calibration uncertainty from the 6.5-digit multimeter was u_B = 0.0005. The combined expanded uncertainty at a 95% confidence interval (coverage factor k = 2) is:

\[ U = k \cdot \sqrt{u_A^2 + u_B^2} = 2 \cdot \sqrt{(0.0002)^2 + (0.0005)^2} = \pm 0.0011\text{ mA/V} \]

The experimental estimate of 0.45 mA/V agrees with the theoretical reference value (0.45 mA/V) within an absolute deviation of 0.015%, well within the expanded uncertainty band.

10. Engineering Discussion & Phenomenological Interpretations

The experimental results confirm the theoretical behavior of superposition theorem. The linearity observed across all six test points validates the assumption of linear, bilateral network characteristics. Thermal drift was effectively suppressed by maintaining low duty cycles and utilizing precision metal-film components. The minor residual fluctuations observed are attributable to quantization resolution and Johnson–Nyquist thermal noise in the passive bridge elements.

11. Industrial Applications & Construction Practice

The electrotechnical principles demonstrated in this laboratory form the core foundation of numerous modern engineering systems, including:

  • Power Grid & Transmission Engineering: Network equivalent modeling, short-circuit current calculations, power factor correction capacitor banks, and substation protective relay coordination.
  • Consumer Electronics & Integrated Circuits: Analog front-end amplification, active Butterworth filtering, switching power supply voltage regulation, and precision ADC/DAC mixed-signal conversion.
  • Industrial Automation & Drives: Variable frequency motor speed control, servomechanism closed-loop feedback, electromechanical energy conversion, and industrial PLC signal conditioning.

12. Conclusion & Recommendations

The experimental investigation of Verification of Superposition Theorem in Multi-Source DC Resistive Networks was completed with complete success. The linear regression model verified the governing transfer equation with R² = 1.000000. All experimental safety protocols and precision measurement guidelines were strictly observed. For future investigations, automated GPIB/USB telemetry acquisition and environmental temperature chamber testing are recommended to characterize high-temperature coefficients.

Simulated demonstration data.

This report presents simulated benchmark observations generated for demonstration and academic instruction purposes. When submitting coursework, replace all numerical values with your actual laboratory workbench observations.