Disturbance rejection limitations of back-emf based sensorless PM drives

Harke, M.C.; Ribeiro, Luiz Antonio de Souza; Lorenz, Robert D.

doi:10.1109/epe.2007.4417581

Cited by 8 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, the main focus is on BLDC machines and the authors propose a self-sensing speed control method together with a load torque feedforward. Experimental and simulation results support the theoretical analysis which has been performed in [37], [38] for PMSM-machines. An AC sweep test based on sinusoidal load torque profile shows a similar characteristics published in [39] (Fig.…”

supporting

confidence: 81%

“…In [35] the disturbance rejection properties of a vector-tracking observer for the BLDC machines is evaluated but the drive is equipped with low resolution hall-effect sensors. In [37], [38] an analytical approach in frequency as well as time domain are used in order to investigate the dynamic properties of AC permanent magnet synchronous machines for both sensor based and self-sensing techniques. The self-sensing control is implemented using an observer based algorithm.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Improving the Dynamic Stiffness in a Self-Sensing BLDC Machine Drive Using Estimated Load Torque Feedforward

Darba

D'haese

Belie

et al. 2015

IEEE Trans. on Ind. Applicat.

View full text Add to dashboard Cite

This paper presents a load torque estimation method for self-sensing brushless DC drives. Torque ripples in brushless DC machines can be reduced using load torque information. This method uses the terminal voltage, the virtual neutral point voltage and the DC-bus current of the machine. The algorithm uses the variation of successive back-EMF samples to estimate the rotor speed. The rotor position is estimated by defining an intermediate function of estimated speed and back-EMF samples. An estimate of acceleration is used to estimate load torque. The load torque information is used for increasing the dynamic stiffness of the drive. The mathematical background is given and discussed and the simulations as well as the experimental results prove the performance of the proposed method.Index Terms-Permanent-magnet brushless DC-machine (BLDC machine), back-EMF zero-crossing, self-sensing control, estimation method 0093-9994 (c)

show abstract

supporting

confidence: 81%

mentioning

confidence: 99%

Improving the Dynamic Stiffness in a Self-Sensing BLDC Machine Drive Using Estimated Load Torque Feedforward

Darba

D'haese

Belie

et al. 2015

IEEE Trans. on Ind. Applicat.

View full text Add to dashboard Cite

show abstract

“…Detailed analyses of the dynamic properties of the back emf estimator with observers or phase locked loop (PLL) can be found in [8], [6] and [9]. The back emf estimator was applied to the interior permanent magnet synchronous machine (IPMSM) with the concept of the extended back emf in [14].…”

Section: Evaluation Of Methods For the Operation Of Pmsm Without Posimentioning

confidence: 99%

“…To analyze the effect, a linearization of the machine equations with current controller is used. The model is derived in accordance with [8] and with flux and rotor speed ω s r as state variables:…”

Section: Flux Estimationmentioning

confidence: 99%

Evaluation of methods for the operation of PMSM without position sensor

Koschik

Treek

Doncker

2011

8th International Conference on Power Electronics - ECCE Asia

View full text Add to dashboard Cite

This paper presents an analytical evaluation of sensorless methods for the operation of permanent magnet synchronous machines. The influence of position estimation errors on the stability of a current controller and the deviation of the actual current value from the reference current are considered. Taking these effects into consideration, a flux estimator and a signal injection method are analyzed. Accuracy estimations and design guidelines for the implementation of the two methods are given.Index Terms-flux estimator, sensorless control, signal injection NOMENCLATURE i r d , i r q d-and q-axes currents in rotor frame u r d , u r q d-and q-axes voltages in rotor frame L d , L q d-and q-axes inductances L d ,L q estimated d-and q-axes inductances R s ,R s stator resistance and estimated value ω s r

show abstract

“…That is why some papers as in Refs. [7,8] specifically dealing with the low-speed performances of the back-EMF based sensorless control are studied.…”

Section: Introductionmentioning

confidence: 99%

Real-time performance evaluation of extended EMF based sensorless drive for SPMSMs

Barut

Jung

2014

2014 International Conference on Electrical Machines (ICEM)

View full text Add to dashboard Cite

Φ Abstract -This paper focuses on the low speed performance of extended electromotive force (EMF) based position-sensorless speed control of surface permanent magnet synchronous motors (SPMSMs) in real-time. It is the first time Morimoto's extended EMF approach is applied to SPMSM and its low speed performance is evaluated by real-time experiments. The results obtained from the designed position-sensorless drive system embedded on dSPACE-DS1104 controller and including the SPMSM of 0.0262 Vrms/rpm show that the stable low speed estimation and position-sensorless control can be executed down to 1.4286 % of the rated speed.

show abstract

Disturbance rejection limitations of back-emf based sensorless PM drives

Cited by 8 publications

References 23 publications

Improving the Dynamic Stiffness in a Self-Sensing BLDC Machine Drive Using Estimated Load Torque Feedforward

Improving the Dynamic Stiffness in a Self-Sensing BLDC Machine Drive Using Estimated Load Torque Feedforward

Evaluation of methods for the operation of PMSM without position sensor

Real-time performance evaluation of extended EMF based sensorless drive for SPMSMs

Contact Info

Product

Resources

About