Litcius/Paper detail

Current-Constrained Adaptive Robust Control for Uncertain PMSM Drive Systems: Theory and Experimentation

Jianyi Zhang, Wei Ren, Xi‐Ming Sun

2023IEEE Transactions on Transportation Electrification31 citationsDOI

Abstract

In this article, we investigate the speed tracking control problem for permanent magnet synchronous motor (PMSM) drive systems. In particular, the current constraint, parametric uncertainties, and the external load disturbance are addressed simultaneously. To deal with these issues, we first propose a system transformation scheme, which equivalently transforms a PMSM system with the current constraint into the one without any constraints, thereby reducing the difficulties in the controller design caused by the current constraint. Based on the transformed system, the adaptive parameter estimation and robust control are integrated to derive a current-constrained adaptive robust controller (CCARC), which guarantees robust tracking performance under the current constraint, parametric uncertainties and external load disturbance. For the closed-loop system, the Lyapunov-based analysis is provided to show convergence and stability. Finally, the effectiveness of the proposed method is experimentally validated using a 5.5 kW PMSM.

Topics & Concepts

Control theory (sociology)Controller (irrigation)Constraint (computer-aided design)Robust controlParametric statisticsComputer scienceConvergence (economics)Lyapunov stabilityAdaptive controlControl engineeringStability (learning theory)Permanent magnet synchronous motorLyapunov functionCurrent loopCurrent (fluid)Control systemEngineeringControl (management)MathematicsNonlinear systemMagnetMachine learningEconomic growthStatisticsQuantum mechanicsMechanical engineeringElectrical engineeringAgronomyBiologyArtificial intelligencePhysicsEconomicsSensorless Control of Electric MotorsAdaptive Control of Nonlinear SystemsIterative Learning Control Systems