In the rapidly evolving landscape of electromobility and high-performance electric traction drives, meeting strict requirements for rapid load variations and precise torque dynamics is critical. To achieve maximum efficiency, high power, and torque density across a machine's entire operating range, engineers must adapt their control strategies to real-world machine parameters.
A key element of this optimization is understanding the relationship between stator winding currents and the resulting magnetic stator flux linkages. These relationships—typically visualized as flux linkage maps or contour diagrams—contain vital information regarding saturation effects, magnetic coupling, and rotor-orientation dependencies.
This white paper presents a highly resource-efficient method for the real-time calculation of stator flux linkage in 3-phase machines using the Genesis Highspeed Data Acquisition (DAQ) system. By leveraging the software Perception and its Real-Time Formulas Data Base (RTFDB), engineers can automate the generation of accurate flux maps directly during live measurements, paving the way for faster control algorithm optimization and superior machine characterization.
Understand the electromagnetic equations governing 3-phase machines in stator-fixed and rotating rotor-fixed ($d/q$) coordinate systems.
How to implement resource-efficient formulas in the Perception RTFDB to eliminate higher harmonics without heavy Fourier series processing.
Learn a robust, alternative calculation method based on mechanical power and active/reactive space-vector power to bypass the errors caused by temperature-dependent stator resistance in low-power motors.
Step-by-step insights from a real-world $1.5\text{ kW}$ PMSM servo motor measurement, showcasing how to plot and interpret live d-axis and q-axis flux linkage maps.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, MicroStrain and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
