Researchers Build Electric Drive Digital Twin with Real-Time Load Compensation

A team led by Frank Liebich has published a paper detailing the practical implementation of a digital twin (DT) for an electric drive in a networked test lab environment. The system centers on a permanent magnet synchronous machine (PMSM), a common motor in industrial and automotive applications. Unlike simpler monitoring concepts, this DT maintains full bidirectional data exchange between the physical motor and its digital counterpart, enabling not just observation but active control.

The key innovation is the integration of an observer controller into the PMSM control loop. This controller uses the digital twin to virtually sense the acting load torque—the disturbance variable—which is typically difficult to measure directly in real-world installations. The DT then adjusts the motor's operation to compensate for that disturbance, improving performance under varying loads. Test bench results confirm effective compensation, but the observed torque still deviates slightly from the physically measured torque, signaling that the model needs further calibration.

The work, accepted for the AmEC 2026 conference, is positioned as a first step toward broader practical deployment of digital twins in electric drive testing. Future refinements could reduce estimation errors and extend the approach to other motor types or more complex drivetrains. For engineers working on motor control and predictive maintenance, this offers a tangible path to virtual sensing and closed-loop DTs that improve real-world hardware.