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    From PID to extended learning control

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    Nonlinear adaptive speed tracking control for sensorless permanent magnet step motors

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    Assuming that only stator currents and voltages are available for feedback, a nonlinear output feedback adaptive speed tracking control strategy is proposed for a permanent magnet step motor with unknown load torque. It relies on three new theoretical results: the "s-alignment" and "c-alignment" procedures, in which the motor is forced to reach certain known equilibrium points, and an output feedback controller which guarantees uniform asymptotic speed tracking for every initial condition belonging to an explicitly computed domain of attraction. Global exponential convergence is achieved in the case of known load torque. Numerical simulation results show the effectiveness of the proposed solution

    An adaptive tracking control from current measurements for induction motors with uncertain load torque and rotor resistance

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    The problem of controlling sensorless induction motors with uncertain constant load torque and rotor resistance on the basis of stator current measurements only is addressed. A new eighth-order dynamic nonlinear adaptive control algorithm is designed, which relies on a closed loop adaptive observer for the unmeasured state variables (rotor speed and fluxes) and for the uncertain parameters and is not based on non-robust open loop integration of flux dynamics. Local exponential stability of the closed loop tracking and estimation error dynamics is achieved under persistency of excitation conditions which restrict the reference signals and may be interpreted in terms of motor observability and rotor resistance identifiability
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