← CIRCUIT ANALYSISCA-4 · 4 LESSONS + CAPSTONE

Network theorems

Thevenin, Norton, superposition, max power.

  1. CA-4.1Linearity & superpositionOPEN →
  2. CA-4.2Thevenin equivalentsOPEN →
  3. CA-4.3Norton equivalentsOPEN →
  4. CA-4.4Maximum power transferOPEN →
CA-4 CAPSTONE

The Thevenin source your LED actually sees

Every theorem in this unit compresses a network down to two numbers. In this capstone you compress a real one: the circuit your CA-1 capstone board presents to its LED — then check the compression against the maximum-power ideas, and see why the design deliberately refuses to match.

  1. On paper: from the LED's two terminals, the rest of the CA-1 capstone board is the 3.3 V rail in series with the 330 Ω resistor (wiring resistance negligible). Write down the Thevenin equivalent the LED sees, then convert it to its Norton form.
  2. Compute the maximum power this source could deliver to a perfectly matched load, and the load resistance that would capture it. Then compute the power the LED (≈2.0 V at ≈3.9 mA) actually takes, and its share of the maximum.
  3. Explain in two or three sentences why matching would be the WRONG goal here: what the resistor's real job is (current limiting for a device that must not see more than ~20 mA), and what would physically happen to an LED connected straight to an ideal 3.3 V rail.
  4. Open PCB Studio, rebuild the one-LED board (Pico 2 W + one 5 mm LED), generate, and read the series resistor value out of the spec JSON. Recompute the Thevenin equivalent with the engine's chosen value and compare with task 1.
  5. Superposition preview of things to come: your board's 3.3 V rail also feeds the Pico itself. Sketch (mentally or on paper) why analysing the LED branch separately was legitimate — each branch hangs in parallel on an ideal rail, so branches don't disturb each other. Then note the fine print: the rail is only NEARLY ideal (its own R_Th is small but not zero), which is why boards with many LEDs need the power budgeting you'll meet in ME-6.
CA-4 · Network theorems · iLearnSTEM Electronics