Nonlinear Adaptive Output Feedback Control of Synchronous Motors with Damping Windings

Marino, R.; Tomei, P.; Verrelli, Cristiano Maria

doi:10.1109/iecon.2006.347363

Cited by 7 publications

(5 citation statements)

References 6 publications

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“…A variation of this parameter can induce, for the PMSM, a lack of field orientation, performance and stability. Thus, to preserve the reliability and robustness stability under the stator resistance variation, a robust input-output linearization via feedback control, proposed by [3] [4], is used to provide a good regulation and convergence of the currents for the PMSM drive. However, the resolution of the feedback control for the PMSM requires an on-line estimation of the speed value that is not measurable.…”

Section: Model Of Pmsmmentioning

confidence: 99%

See 1 more Smart Citation

An Extended Sliding Mode Observer for Speed, Position and Torque Sensorless Control for PMSM Drive Based Stator Resistance Estimator

Tety¹,

Konaté²,

Asseu³

et al. 2016

ICA

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This paper presents a robust sixth-order Discrete-time Extended Sliding Mode Observer (DESMO) for sensorless control of PMSM in order to estimate the currents, speed, rotor position, load torque and stator resistance. The satisfying simulation results on Simulink/Matlab environment for a 1.6 kW PMSM demonstrate the good performance and stability of the proposed ESMO algorithm against parameter variation, modeling uncertainty, measurement and system noises.

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Section: Model Of Pmsmmentioning

confidence: 99%

“…The naturally structure of non-linear multivariable state of PMSM models induces the use of robust feedback linearization method [3] [4] in order to permit a decoupling and good dynamic stability of the PMSM variables in a field-oriented (d, q) coordinate so that stator currents can be separately and independently controlled.…”

Section: Introductionmentioning

confidence: 99%

An Extended Sliding Mode Observer for Speed, Position and Torque Sensorless Control for PMSM Drive Based Stator Resistance Estimator

Tety¹,

Konaté²,

Asseu³

et al. 2016

ICA

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show abstract

“…Recent literature gives a certain type of nonlinear control for SM: backstepping method [3] in which damper winding currents were not considered, the method of passivity [4] which failed to give better results, as well as some others [5,6] in which decoupling has not been considered. Literature generally brings only mathematical models of control without adequate simulational implementation of the entire power system.…”

Section: Nonlinear Controlmentioning

confidence: 99%

Nonlinear Control Model of Synchronous Motor with Excitation and Damper Windings

Šundrica¹,

Maljković²

2014

JEPE

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In this paper, a new control method for synchronous motor with excitation and damper windings is presented. It is based on one type of nonlinear control; feedback linearization control. To make a realization in the sense of electric drive, symmetrical space vector PWM (pulse width modulation) is applied. Estimation of damper winding currents via Lyapunov function for the whole estimated system is done. The aim of control is to make tracking system for rotor speed and square of stator flux. Simulation of motor starting to predefined operating points is done, and also maintaining these points during step change of load torque is obtained. Simulations give good results.

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“…However, the control of PMSM is proved very difficult because the dynamic model of the PMSM is nonlinear, multidimensional and complex where some parameters vary with temperature or saturation. This nonlinear dynamic behavior induces the use of nonlinear feedback control strategy [3] [4] in order to permit a decoupling of the PMSM variables in a (d, q) coordinate so that stator currents can be separately controlled.…”

Section: Introductionmentioning

confidence: 99%

A Robust Extended Kalman Filter for Speed-Sensorless Control of a Linearized and Decoupled PMSM Drive

Tety¹,

Konaté²,

Asseu³

et al. 2015

ENG

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This paper uses a robust feedback linearization strategy in order to assure a good dynamic performance, stability and a decoupling of the currents for Permanent Magnet Synchronous Motor (PMSM) in a rotating reference frame (d, q). However this control requires the knowledge of certain variables (speed, torque, position) that are difficult to access or its sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of motor. And also a stator resistance variation can induce a performance degradation of the system. Thus a sixth-order Discrete-time Extended Kalman Filter approach is proposed for on-line estimation of speed, rotor position, load torque and stator resistance in a PMSM. The interesting simulations results obtained on a PMSM subjected to the load disturbance show very well the effectiveness and good performance of the proposed nonlinear feedback control and Extended Kalman Filter algorithm for the estimation in the presence of parameter variation and measurement noise.

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Nonlinear Adaptive Output Feedback Control of Synchronous Motors with Damping Windings

Cited by 7 publications

References 6 publications

An Extended Sliding Mode Observer for Speed, Position and Torque Sensorless Control for PMSM Drive Based Stator Resistance Estimator

An Extended Sliding Mode Observer for Speed, Position and Torque Sensorless Control for PMSM Drive Based Stator Resistance Estimator

Nonlinear Control Model of Synchronous Motor with Excitation and Damper Windings

A Robust Extended Kalman Filter for Speed-Sensorless Control of a Linearized and Decoupled PMSM Drive

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