559 research outputs found

    Analysis and Design of Full-Order Flux Observers for Sensorless Induction Motors

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    This paper deals with the flux estimation for sensorless induction motor drives. The linearized model of the speedadaptive full-order flux observer is applied to help choosing the observer gain and the speed-adaptation gains. It is shown that the linearized model reveals potential instability problems that are difficult to find by other means. An observer gain and a method to vary the speed-adaptation gains in the field-weakening region are proposed. Experimental results show stable operation in a very wide speed range.Peer reviewe

    Observer-based Fault Detection and Diagnosis for Mechanical Transmission Systems with Sensorless Variable Speed Drives

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    Observer based approaches are commonly embedded in sensorless variable speed drives for the purpose of speed control. It estimates system variables to produce errors or residual signals in conjunction with corresponding measurements. The residual signals then are relied to tune control parameters to maintain operational performance even if there are considerable disturbances such as noises and component faults. Obviously, this control strategy outcomes robust control performances. However, it may produce adverse consequences to the system when faults progress to high severity. To prevent the occurrences of such consequences, this research proposes the utilisation of residual signals as detection features to raise alerts for incipient faults. Based on a gear transmission system with a sensorless variable speed drive (VSD), observers for speed, flux and torque are developed for examining their residuals under two mechanical faults: tooth breakage with different degrees of severities and shortage of lubricant at different levels are investigated. It shows that power residual signals can be based on to indicate different faults, showing that the observer based approaches are effective for monitoring VSD based mechanical systems. Moreover, it also shows that these two types fault can be separated based on the dynamic components in the voltage signals

    Accurate Inverter Error Compensation and Related Self-Commissioning Scheme in Sensorless Induction Motor Drives

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    This paper presents a technique for accurately identifying and compensating the inverter nonlinear voltage errors that deteriorate the performance of sensorless field-oriented controlled drives at low speed. The inverter model is more accurate than the standard signum-based models that are common in the literature, and the self-identification method is based on the feedback signal of the closed-loop flux observer in dc current steady-state conditions. The inverter model can be identified directly by the digital controller at the drive startup with no extra measures other than the motor phase currents and dc-link voltage. After the commissioning session, the compensation does not require to be tuned furthermore and is robust against temperature detuning. The experimental results, presented here for a rotor-flux-oriented SFOC IM drive for home appliances, demonstrate the feasibility of the proposed solution

    Gain Scheduling of a Full-Order Observer for Sensorless Induction Motor Drives

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    This paper deals with the design of a speed-adaptive full-order observer for sensorless induction motor (IM) drives. A general stabilizing observer gain matrix, having three free design parameters, is used as a design framework. A gain-scheduled selection of the free design parameters is proposed. Furthermore, the full-order observer is augmented with the stator-resistance adaptation, and the local stability of the augmented observer is analyzed. The performance of the proposed full-order observer design is experimentally compared with a reduced-order observer using a 2.2-kW IM drive.Peer reviewe

    An implementation of rotor speed observer for sensorless induction motor drive in case of machine parameter uncertainty

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    The paper describes observers using model reference adaptive system for sensorless induction motor drive with the pulse width modulator and the direct torque control under the circumstances of incorrect information of induction motor parameters. An approximation based on the definition of the Laplace transformation is used to obtain initial values of the parameters. These values are utilized to simulate sensorless control structures of the induction motor drive in Matlab-Simulink environment. Performance comparison of two typical observers is carried out at different speed areas and in presence of parameter uncertainty. A laboratory stand with the induction motor drive and load unit is set up to verify the properties of observers. Experimental results confirm the expected dynamic properties of selected observer

    Metoda za estimaciju magnetskog toka rotora kaveznih asinkronih generatora bez mjernog člana brzine vrtnje temeljena na fazno spregnutoj petlji

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    This paper presents a new rotor flux estimation method for sensorless vector controlled squirrel-cage inductiongenerators used in wind power applications. The proposed method is based on a phase-locked loop (PLL) and theorthogonality between the rotor flux space vector and its back electromotive force (EMF) space vector. Rotor flux isestimated using stator voltage equations without integrating the back EMF components in the stationary referenceframe and the well-known difficulties with the implementation of pure integrators are thus avoided. Moreover, theproposed method ensures successful magnetization of a speed-sensorless squirrel-cage induction generator at nonzerospeeds which makes it suitable for wind power applications. Experimental results on a 560 kW squirrel-cageinduction generator are presented to confirm the effectiveness and the feasibility of the proposed method.U radu je predstavljena nova metoda za estimaciju magnetskog toka rotora vektorski upravljanih kaveznih asinkronih vjetrogeneratora. Predložena metoda se temelji na fazno spregnutoj petlji i ortogonalnosti između prostornog vektora magnetskog toka rotora i njemu pripadajućeg prostornog vektora induciranog napona. Magnetski tok rotora se estimira korištenjem naponskih jednadžbi statora u koordinatnom sustavu statora bez integracije komponenti induciranog napona čime su izbjegnuti dobro poznati problemi implementacije integratora. Osim toga, predložena metoda omogućava uspješno magnetiziranje pri vrtnji kaveznog asinkronog generatora bez mjernog člana brzine vrtnje pa je pogodna za primjenu na vjetrogeneratorima. U radu su prikazani eksperimentalni rezultati za kavezni asinkroni generator snage 560~kW koji potvrđuju izvedivost i učinkovitost predložene metode

    Speed -Sensorless Estimation And Position Control Of Induction Motors For Motion Control Applications

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    Thesis (Ph.D.) University of Alaska Fairbanks, 2006High performance sensorless position control of induction motors (IMs) calls for estimation and control schemes which offer solutions to parameter uncertainties as well as to difficulties involved with accurate flux and velocity estimation at very low and zero speed. In this thesis, novel control and estimation methods have been developed to address these challenges. The proposed estimation algorithms are designed to minimize estimation error in both transient and steady-state over a wide velocity range, including very low and persistent zero speed operation. To this aim, initially single Extended Kalman Filter (EKF) algorithms are designed to estimate the flux, load torque, and velocity, as well as the rotor, Rr' or stator, Rs resistances. The temperature and frequency related variations of these parameters are well-known challenges in the estimation and control of IMs, and are subject to ongoing research. To further improve estimation and control performance in this thesis, a novel EKF approach is also developed which can achieve the simultaneous estimation of R r' and Rs for the first time in the sensorless IM control literature. The so-called Switching and Braided EKF algorithms are tested through experiments conducted under challenging parameter variations over a wide speed range, including under persistent operation at zero speed. Finally, in this thesis, a sensorless position control method is also designed using a new sliding mode controller (SMC) with reduced chattering. The results obtained with the proposed control and estimation schemes appear to be very compatible and many times superior to existing literature results for sensorless control of IMs in the very low and zero speed range. The developed estimation and control schemes could also be used with a variety of the sensorless speed and position control applications, which are challenged by a high number of parameter uncertainties

    A Sensorless Direct Torque Control Scheme Suitable for Electric Vehicles

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    International audienceIn this paper a sensorless control is proposed to increase the efficiency of a Direct Torque Control (DTC) of an induction motor propelling an Electric Vehicle (EV). The proposed scheme uses an adaptive flux and speed observer that is based on a full order model of the induction motor. Moreover, it is evaluated on an EV global model taking into account the vehicle dynamics. Simulations were first carried out on a test vehicle propelled by a 37-kW induction motor to evaluate the consistency and the performance of the proposed control approach. The commonly used European drive cycle ECE-15 is adopted for simulation. The obtained results seem to be very promising. Then, the proposed control approach was experimentally implemented, on a TMS320F240 DSP-based development board, and tested on 1-kW induction motor. Experimental results show that the proposed control scheme is effective in terms of speed and torque performances. Indeed, it allows speed and torque ripple minimization. Moreover, the obtained results show that the proposed sensorless DTC scheme for induction motors is a good candidate for EVs propulsion
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