1,721,022 research outputs found
Design of Four Fuzzy Controllers for Induction Motor Drives
This paper presents a simple method to design four fuzzy controllers of a fully digital vector-controlled induction motor drive. The outer controllers realise the usual rotor speed and flux control, while the inner controllers are used to control the d- and q-axis stator current components. The design method is based on physical relationships, because accurate model structures of electrical machines are available. The use of fuzzy controllers increases the robustness of the drive to external disturbances and load. The inherent nonlinear characteristics of the fuzzy controllers make it possible to obtain fast and accurate tracking of rotor flux and speed references, and to control the d- and q-axis current components in presence of varying load conditions, changes of mechanical parameters, process nonlinearities, and inaccuracy in the process modelling
Design Method of Fuzzy Controllers for Speed and Current Control Loops of DC Motor Drives
Monitoring of Inverter Drives in Time-Frequency Domain
This paper proposes to apply the Wigner-Ville distribution
(WVD) or, alternatively, a "new" time-frequency
representation (TFR) to voltage and current signals of
inverter drives to monitor instantaneous complex power,
voltage and current space-vectors in the time-frequency
domain. The WVD and TFR satisfy the following
properties: the frequency integral is the instantaneous
power and the time integral is the spectral energy
distribution. Therefore, both techniques are powerful
mathematical tools to describe the behaviour of inverter drives and that of unbalanced and non-sinusoidal three-phase systems. The new TFR is preferable because
shows correct information about the frequency locations of the spectral components, while the WVD does not. We
show the results of applying the new time frequency
representation
Controllo di Posizione di un Azionamento con PMSM Mediante un Compensatore Basato sulla Logica Fuzzy
Nel lavoro si propone di utilizzare un nuovo compensatore del disturbo
equivalente, basato sulla logica fuzzy, per il controllo di posizione di un azionamento con motore sincrono a magneti permanenti (PMSM). Il ricorso ad un tale tipo di compensatore consente di modellare il sistema azionamento come un sistema meccanico -lineare
tempoinvariante con parametri aventi i valori nominali, e di ottenere una risposta del
sistema reale che non si discosta in modo apprezzabile da quella del modello
Position Trajectory Tracking of Robot Manipulators Via Fuzzy Controller
A new robust control strategy for robot manipulators is proposed in this paper. The
robustness of the control system is achieved by a new fuzzy controller. The controller outputs, that are functions of the position tracking errors and their variations between two running sampled instants, have to compensate the joint dynamics, dynamic coupling
among axes, centrifugal, Coriolis, and gravity forces, unknown and time-varying
payload. By this way each joint is forced to track the desired input position trajectories. The fuzzy compensator has been tested by numerical simulations on the main three axes of a COMAU SMART 3S industrial manipulator
Comparison Between Adaptative Flux Observer- and Extended Kalman Filter-Based Algorithms for Field Oriented Control of Induction Motor Drives
Comparison Between Adaptive Flux Observer- and Extended Kalman Filter-Based Algorithms for Field Oriented Control of Induction Motor Drives
Speed-Sensorless Vector Control of Induction Motors Using EKF
This paper presents a new method of estimating the
speed, rotor flux components, and parameters of a vector controlled induction motor (IM) using an extended Kalman filter. The estimates are obtained by only measuring the line voltages and currents of the machine. The estimated speed and flux are used for vector control and overall speed control. The online updating of the mathematical-model parameters
guarantees high accuracy in the estimation of speed
and flux components at any load condition, allowing
a correct vector control and an overall speed control.
Computer simulations have been carried out to test
the effectiveness of the proposed estimation algorithm
Stimatore Neurale dello Stato di un Motore ad Induzione
Nel presente lavoro si propone l'applicazione di uno stimatore neurale dello stato di un motore ad induzione. In particolare l'osservatore proposto è in grado di fornire stime sufficientemente accurate
delle componenti del flusso di statore o di rotore. Tali stime possono essere usate per effettuare il controllo vettoriale di un motore ad induzione. Lo stimatore è costituito da una rete neurale con un solo strato nascosto contenente cinque neuroni con funzioni sigmoidali. Esso è di tipo ricorrente, cioè utilizza i due stati stimati al passo n come ingressi per le stime al passo successivo. Gli altri
ingressi sono le componenti alfa-beta delle tensioni e correnti di statore. I risultati delle simulazioni
hanno mostrato l'efficacia dello stimatore neurale proposto quando l'addestramento delle rete è
effettuato utilizzando un algoritmo di apprendimento basato sulla teoria del filtro di Kalman estesa
Adaptive Control of PM Synchronous Motor
Permanent magnet synchronous motor drives are widely used in industrial applications
because of their high performance. The use of field orientation control strategy gives external
characteristics similar to those of well known dc drives without the need for slip rings and a field
supply. In this paper we propose a new scheme for adaptive position control of a PM synchronous
motor drive. This scheme employs an estimation method based on the Kalman filter theory. The
algorithm can estimate the load torque and inertia moment quickly. The estimated torque is supplied
to the PM synchronous motor to realize load compensation so to obtain no steady-state error and little
transient-state position error. The speed feedback P-controller gain is adjusted by emploing the
estimated inertia to avoid underdamped transient response. Numerical results are also shown
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