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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 proposes an original electrical losses minimization technique (ELMT) suitably devised for field oriented controlled (FOC) linear induction motor (LIM) drives, taking into consideration the LIM's dynamic end-effects. The proposed technique improves the very few approaches in the scientific literature dealing with ELMTs applied to LIMs in the following aspects: 1) it accounts for the LIM...
A comprehensive dynamic modelling approach to evaluate efficiency and power losses in induction motor drive systems during both transient and steady-state working conditions is proposed in this paper. The developed dynamic model considers all the main loss contributions arising both from the power converter and the motor and permits the drive efficiency to be analysed, even separating each power loss...
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 proposes a novel model-based electrical losses minimization technique (ELMT), whose main original contribution lies in the overall power losses function which has been derived from a comprehensive dynamic space-vector model of the IM including the iron losses, expressed in the rotor flux oriented reference frame. Such a losses formulation, obtained from the IM input-output power balance,...
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 an Induction Machine (IM) based marine current (MC) generation unit with embedded maximum power point tracking (MPPT), Electrical Losses Minimization Technique (ELMT) plus Discontinuous PWM (D-PWM). The target is the development of a highly efficient MC generation system with high dynamic performance, able not only to track the maximum power available from the rurbine rapidly,...
This paper presents an Induction Machine (IM) based wind generation unit with an integrated maximum power point tracking (MPPT) and Electrical Losses Minimization Technique (ELMT) based on the Growing Neural Gas (GNG) network and Discontinuous PWM (D-PWM). The target is the development of a highly efficient wind generator with high dynamic performance, able from one side to quickly track the maximum...
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 presents the validation of a MPPT technique, based on a Growing Neural Gas (GNG) network, for high performance marine current generator with induction machine, in presence of torque oscillations caused by time and space variation of the turbine operating conditions. The unsteady torque delivered by a notional turbine working in the presence of waves and of sea bottom boundary layer is obtained...
This paper presents an efficiency analysis on an inverter-fed induction motor drive integrating both switching losses minimization by D-PWM for the inverter and an ELMT for the motor. The target is the evaluation of the contribution of both the chosen PWM and ELMT strategies on the total losses of the drive. To this aim, a complete dynamic model of the drive system has been developed and implemented...
Using a three dimensional coupled Monte Carlo-Poisson algorithm and experimental results we studied the role of the particle-particle dipole interaction on the kinetics of a system of human cells suspended in a static liquid medium under the action of an oscillating non-uniform electric field generated by polynomial electrodes. We found that the kinetics of the cells during negative/repulsive dielectrophoresis...
This paper proposes an efficiency analysis on an inverter-fed induction motor drive integrating switching losses minimization by D-PWM (Discontinuous PWM) and an ELMT (Electric Loss Minimization Technique) for the motor, either separately or contemporary. This approach allows to benchmark the contribution of both the chosen PWM and ELMT strategies on the total losses. The aim is the development of...
This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of an Induction Machines (IM), and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences between the measured stator current direct (sD) and quadrature (sQ) components and the corresponding estimated by the IM state...
This paper deals with the theoretical framework definition and the experimental application of the Hammerstein identification and related robust control technique to a quadratic DC-DC single switch boost converter. A set of 4th order transfer functions has been identified with the Hammerstein approach, on the basis of a PRBS excitation signal. The set of identified transfer functions has been then...
This paper presents a MPPT technique for high performance marine current generator with induction machine based on the Growing Neural Gas (GNG) network. The marine turbine characteristic curve has been firstly predicted by a BEM hydrodynamic formulation. The BEM analysis has been compared with experimental results obtained at the QinetiQ cavitation tunnel (Haslar Marine Technology Park). For the experimental...
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,...
A parameter estimation method has been developed by manipulation of the dynamical equations describing the equivalent circuit of a 2-branch Double-Layer-Capacitor (DLC) supercapacitor model. This results in an over-determined matrix equation which can be solved by a least-squares method, in particular the (Total Least Squares) TLS EXIN neuron, making it exploitable also for on-line applications. Three...
In this paper a photovoltaic (PV) battery charger based on a DC-DC boost converter for a small size marine autonomous vehicle (AUV) is developed. The proposed solution employs a neural-based technique to estimate the solar irradiance on the basis of the actual PV panel voltage and current. This information is then used to perform an effective maximum power point tracking (MPPT) to optimise the energy...
In this paper several PWM techniques have been studied and a unified approach allowing their implementation by using a general expression of the duty cycle is proposed. These techniques are experimentally investigated to evaluate their impact on power losses and efficiency in a VSI for AC variable speed drives. In particular, both continuous and discontinuous PWM methods have been addressed and experimentally...
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