At the core of the control system is EEPIC, our iterative learning control algorithm. EEPIC corrects the input motion profile based on the error measured in previous cycles, progressively refining the test until the target loading condition is reproduced with high accuracy.
This version is “Enhanced” for two reasons. First, control precision has increased by one order of magnitude compared to the previous version, allowing the system to track the target load profile more closely across the full range of angular positions. Second, a new real-time component actively prevents overshoot during cyclic loading — correcting the input profile as the test runs, rather than only between cycles.
You can follow the iterative control live: every control parameter updates in real time as the cycles progress, giving full visibility into how the system is converging on the target loading condition without needing to wait for post-processing.