Multi-Voltage Data Fusion Velocity Observation Method for Ultra-High-Velocity Linear Motors

This paper proposes a sensorless velocity observation method for ultra-high-velocity linear induction motors (LIMs) based on multi-voltage data fusion. The study addresses the critical challenges in velocity measurement encountered during high-velocity LIM operation, where rapid mechanical stress, environmental factors, and transonic unsteady aerodynamic characteristics induce severe disturbances in mover position/velocity measurements and electromagnetic mechanisms. These disturbances may further damage costly velocity measurement equipment. To overcome these limitations, a mathematical model correlating multi-voltage data with mover velocity is established, and a data fusion algorithm is introduced to enhance the precision of velocity observation. Compared to conventional single-voltage-based velocity observation methods, the proposed multi-voltage fusion approach significantly reduces the number of required parameters and computational complexity while achieving higher accuracy. Simulation results validate that the average error between the multi-voltage fusion-based velocity observation method and the actual velocity is less than 5‰. Experimental tests on a prototype further demonstrate that the maximum average error of the synchronous voltage-based velocity observation method remains below 9‰, confirming its practical applicability in engineering scenarios.