Global adaptive linear control of the permanent-magnet synchronous motor

Abstract : We contribute with a linear time-varying controller for the permanent magnet synchronous motor. We solve the open problem of speed-tracking control by measuring only stator currents and the rotor angular positions, under parametric uncertainty. Integral action is used to compensate for the effects of the unknown load-torque and adaptation is employed to estimate the unknown parameters. In the case that parameters are known (except for the load) we show that the origin of the closed-loop system is uniformly globally exponentially stable. For the case of unknown parameters we prove uniform global asymptotic stability hence, we establish parametric convergence. In contrast to other adaptive control schemes for electrical machines, we use a reduced-order adaptive controller. Indeed, adaptation is used only for the electrical dynamics equations. Moreover, not surprisingly, the closed-loop system has a structure well-studied in adaptive-control literature. Performance is illustrated in a numerical setting
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Antonio Loria, G. Espinosa-Pérez, Sofía Avila-Becerril. Global adaptive linear control of the permanent-magnet synchronous motor. International Journal of Adaptive Control and Signal Processing, Wiley, 2014, 28 (10), pp.971-986. ⟨10.1002/acs.2421⟩. ⟨hal-00831451⟩

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