Estimation of Back Emf for PMSM at Low Speed Range

Urbański, Konrad

doi:10.17973/mmsj.2015_03_201506

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Rheological measurements revealed that G' of these gels increased linearly with respect to n at a rate of 10.5 Pa per lysine residue (r 2 = 0.98, Fig 1D). For the various K n samples tested, G' ranged from 18.6 Pa for K 3 to 1276 Pa for PLL (p < 0.001), which spans the range of G' found in human CNS tissues (30-3,000 Pa) [71][72][73][74][75] . Recent work has demonstrated that G' is not the sole determining factor in cell mechanobiology.…”

Section: Pa Self-assembly and Gelationmentioning

confidence: 94%

Gelator Length Precisely Tunes Supramolecular Hydrogel Stiffness and Neuronal Phenotype in 3D Culture

Godbe

Freeman

Burbulla

et al. 2020

ACS Biomater. Sci. Eng.

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The brain is one of the softest tissues in the body with storage moduli (G') that range from hundreds to thousands of pascals (Pa) depending upon the anatomic region. Furthermore, pathological processes such as injury, aging and disease can cause subtle changes in the mechanical properties throughout the central nervous system. However, these changes in mechanical properties lie within an extremely narrow range of moduli and there is great interest in understanding their effect on neuron biology. We report here the design of supramolecular hydrogels based on anionic peptide amphiphile nanofibers using oligo-L-lysines of different molecular lengths to precisely tune gel stiffness over the range of interest and found that G' increases by 10.5 Pa for each additional lysine monomer in the oligo-L-lysine chain. We found that small changes in storage modulus on the order of 70 Pa significantly affect survival, neurite growth and tyrosine hydroxylase-positive population in dopaminergic neurons derived from induced pluripotent stem cells. The work reported here offers a strategy to tune mechanical stiffness of hydrogels for use in 3D neuronal cell cultures and transplantation matrices for neural regeneration.

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Section: Pa Self-assembly and Gelationmentioning

confidence: 94%

Gelator Length Precisely Tunes Supramolecular Hydrogel Stiffness and Neuronal Phenotype in 3D Culture

Godbe

Freeman

Burbulla

et al. 2020

ACS Biomater. Sci. Eng.

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“…The used type of observer was thoroughly described in [11] and its potential for low speed range in [18]. The sine and cosine values of the shaft position were determined based on simplified trigonometric dependency:prefixsin()γfalse^=−truee^α|truee^|4pt, prefixcos()γfalse^=truee^β|truee^|4pt, where truee^α and truee^β are estimated in a stationary coordinate system.…”

Section: Control Structure For Low-speed Range Using the Referencementioning

confidence: 99%

“…Readers can consult [2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], current works on several developed methods, most of which are based on observer theory. One such work, considered here, is based on back electromotive force (EMF) estimation [17,18,19]. Another is the widely-known Kalman filter theory [20].…”

Section: Introductionmentioning

confidence: 99%

“…This is explained by the small amplitude values of back EMF and a relatively high noise level in this speed range, which has an impact on the accuracy and stability of the back EMF estimator. Experimental tests have shown in [18] that even at the low speed, shaft position can be estimated using the back EMF observer with satisfactory accuracy. The question of the (estimated) speed calculation using common methods gives sufficient accuracy, for example the method based on the length of the back EMF vector or the derivative of the position of the shaft, whereas this range of speed usually does not give good results.…”

Section: Introductionmentioning

confidence: 99%

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Sensorless Control of the Permanent Magnet Synchronous Motor

Urbański

Janiszewski

2019

Sensors

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This paper describes the study and experimental verification of sensorless control of permanent magnet synchronous motors with a high precision drive using two novel estimation methods. All the studies of the modified Luenberger observer, reference model, and unscented Kalman filter are presented with algorithm details. The main part determines trials with a full range of reference speeds with a special near-zero speed area taken into account. In order to compare the estimation performances of the observers, both are designed for the same motor and control system and run in the same environment. The experimental results indicate that the presented methods are capable of tracking the actual values of speed and motor position with small deviation, sufficient for precise control.

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