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This paper deals with a robust input-output feedback linearization control technique for induction motors. The idea arises from the observation that classic feedback linearization suffers primarily from two disadvantages: the accuracy of the dynamic model and the corresponding correct knowledge of the model parameters. To cope with the limit of the feedback linearization control, intrinsically connected...
This paper focuses on several control techniques of a wind turbine of rated power of about 1 MW. In particular, a wind generator equipped with an asynchronous doubly-fed induction machine has been considered and its dynamic model in MATLAB/SIMULINK environment has been implemented. Starting from this model the feedback linearization control has been derived, and several simulations have been carried...
This paper proposes the theoretical framework and the experimental application of the active disturbance rejection control to linear induction motors. Such a non-linear control technique can be viewed as a particular kind of input-output linearization control technique, where the non-linear transformation of the state is not a priori given by a model, while it is estimated on-line. Such an approach...
This paper considers the problem of designing an observer for navigation and localization of inertial systems. Since the measurement systems used in this field have a low update rate with respect to the control algorithm, the design of a suitable observer with sampled measurements is required. Here a hybrid non-linear observer is proposed, combining two different observers with different characteristics...
This paper proposes a non-linear observer for Induction Machine (IM) drives which takes into consideration the saturation effects. The non-linear observer is based on an original formulation of the dynamic model of the IM taking into consideration the magnetic saturation of the iron core. A Lyapunov based convergence analysis is proposed in order to suitably compute the observer gain guaranteeing...
This paper presents a input-output Feedback Linearization (FL) control technique for rotating Induction Motors (IM), which takes into consideration the magnetic saturation of the iron core. Starting from a new formulation of the IM dynamic model, taking into consideration the magnetic saturation, expressed in a space-state form in the rotor flux oriented reference frame, the corresponding FL technique...
This paper proposes the theoretical framework and the consequent application of the input-output feedback linearization (FL) control technique to linear induction motors (LIM). LIM, additionally to RIM, presents other strong non-linearities caused by the dynamic end effects, leading to a space-vector dynamic model with time-varying inductance and resistance terms and a braking force term. This paper,...
This paper proposes a speed observer for linear induction motors which is composed of two parts: 1) a Kalman filter (KF for the on-line estimation of the machine state variables (inductor currents and induced part flux linkage components), 2) a speed estimator based on the total least-squares (TLS) EXIN neuron. The TLS estimator receives as inputs the state variables, as estimated by the KF, and provides...
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