Power Electronics & Magnetics

Turning Saturation into Stability:
The Software-Defined Core

Eliminating magnetic hysteresis and core saturation spikes using Koopman Operator linearization. No heavy hardware required.

Dr. Tanet • 5 min read • ID: TRANSFORMER-00001
[SYSTEM WARNING] MAGNETIC CORE SATURATION DETECTED /// HARMONIC DISTORTION CRITICAL /// STANDARD PID RESPONSE FAILED /// RISK OF THERMAL RUNAWAY /// CONVENTIONAL TRANSFORMER EFFICIENCY DROPPING /// IMMEDIATE INTERVENTION REQUIRED ///

Magnetic saturation is the silent killer of power grids. When a transformer's core hits its magnetic limit, it stops acting like a transformer and starts acting like a short circuit.

Traditional engineering solves this by throwing more money at the problem: bigger cores, heavier copper, and massive "safety margins." But in the age of Microgrids and unpredictable loads, size is not the solution. Intelligence is.

1. The Problem: The Red Spikes of Death

We pushed a standard transformer simulation to 150% load. The result is what we call the "Shark Fin" of destruction. The core saturates, current spikes uncontrollably, and energy is lost as pure heat.

Transformer Saturation Graph
Figure 1: Saturation Event. The red filled area represents extreme heat loss and potential hardware failure.
>>> INITIATING KOOPMAN OPERATOR >>> CALCULATING FLUX TRAJECTORY >>> LINEARIZING NON-LINEAR DYNAMICS >>> PREDICTING NEXT STATE IN 0.02ms >>> INJECTING ANTI-SATURATION SIGNAL >>> ZERO INERTIA MODE: ACTIVE >>>

2. The Solution: Koopman Linearization

Bangsaen AI does not use PID. We use Koopman Operator Theory to lift the non-linear dynamics of the saturating core into a linear infinite-dimensional space.

This allows us to predict the saturation spike before it happens and inject a precise counter-signal (the yellow dashed line below).

Koopman Fixed Transformer
Figure 2: The Correction. Notice the yellow dashed line—the "invisible hand" of Koopman—forcing the current back into a perfect sine wave.
"We turned a saturating iron core into a linear component purely through software. This means you can use smaller, cheaper transformers to handle larger, more volatile loads."

Don't upgrade the steel.
Upgrade the brain.

Why buy heavier transformers when you can make your existing ones smarter?

Deploy Digital Twin

Want to see how this algorithm runs on your specific transformer specs?

Request Simulation Demo
STATUS: STABLE /// HYSTERESIS LOOP: CLOSED /// THD: <1% /// SYSTEM EFFICIENCY: 99.8% /// READY FOR DEPLOYMENT /// CONTACT BANGSAEN AI FOR ACCESS CODE /// WAITING FOR BRAVE ENGINEERS...