Mean value theorem-based controller for PMSM drive

This paper proposes a novel nonlinear control strategy for the field-oriented control (FOC) of permanent magnet synchronous motors (PMSMs), utilizing the mean value theorem (MVT). By integrating MVT with a sector nonlinearity transformation, the inherently nonlinear error dynamics in the state-feedback system are reformulated into a linear parameter-varying (LPV) model. Stability criteria are established through Lyapunov-based analysis, which are subsequently converted into linear matrix inequalities (LMIs) to compute the controller gains. Experimental validation conducted on a 415 W PMSM demonstrates that the proposed controller ensures precise speed tracking and robust field orientation, even in the presence of varying load torque disturbances.

• permanent magnet synchronous motor
• mean value theorem
• nonlinear control
• field-oriented control
• linear parameter-varying systems
• Lyapunov stability
• linear matrix inequalities
• speed tracking
• load torque disturbance
• motor drive control

• Sensorless Control of Electric Motors
• Electric Motor Design and Analysis
• Advanced Control Systems Design
• permanent magnet synchronous motor
• mean value theorem
• nonlinear control
• field-oriented control
• linear parameter-varying systems
• Lyapunov stability
• linear matrix inequalities
• speed tracking
• Electrical and Electronic Engineering
• Control and Systems Engineering
• Engineering