Year: 2026
Type: article
Abstract: This article presents a novel data-driven adaptive LMI speed tracking control strategy for permanent magnet synchronous motors (PMSMs). To achieve precise speed servo control, the speed loop is closed by a single static state feedback acting on the rotor speed, the q -axis current and an error integrator, whose output is the q -axis voltage command itself rather than a current reference for an inner regulator. The proposed adaptive LMI-based algorithm is formulated based on LMI to compute the static feedback gain directly from measured input-state trajectories, so that the gain synthesis requires no prior knowledge of the PMSM parameters and no measurement of the load torque. Simulation results show accurate speed tracking and well-shaped transients, and indicate that the controller tolerates mismatch in the inertia, stator resistance, inductance, flux linkage, and friction coefficient, including simultaneous load variations.
Source: Scientific Reports
Institution: King Fahd University of Petroleum and Minerals
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
Award: G52944796
OpenAlex ID: W7208793564
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