Deadbeat Predictive Control of Dual Three-Phase Linear Motors Based on Sliding Mode Observer

Inhalt:
Dual three-phase linear motors (DTP-LMs) are critical for high-precision applications like maglev transportation. Numerous current control strategies are used to control them. However, conventional control methods struggle to effectively suppress thrust ripple and mitigate parameter sensitivity under dynamic load conditions. To overcome these limitations, this paper proposes a novel control framework integrating deadbeat predictive control (DBPC) with a sliding mode observer (SMO). The SMO dynamically estimates lumped disturbances via delayed approximation. Concurrently, a discrete-time current model generates precise voltage commands, ensuring zero steady-state tracking error. The simulation results demonstrate significantly enhanced robustness against load disturbances and parameter variations compared to traditional Proportional-Integral (PI)-based control strategies. Key performance metrics show marked improvement. The DBPC-SMO framework presents an effective solution for high-precision control of DTP-LMs.