“Negative” Hysteresis in Magnetoelastic Torque Transducers

Garshelis, Ivan J.; Cuseo, James M.

doi:10.1109/tmag.2009.2021848

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Negative hysteresis has come under investigation in a variety of systems, both physical and biological. Focal issues have included the degree to which it is like positive hysteresisfor example, whether the same principles and the same parameters are involved, and if so, whether they are involved in the same way (e.g., Case et al, 1995;S.-H. Choi et al, 1999;Garshelis & Cuseo, 2009;Lorente & Davidenko, 1990;Pisarchik et al, 2001).…”

mentioning

confidence: 99%

Negative hysteresis in the behavioral dynamics of the affordance “graspable”

Lopresti-Goodman

Turvey

Frank

2013

Atten Percept Psychophys

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One commonly perceives whether a visible object will afford grasping with one hand or with both hands. In experiments in which differently sized objects of a fixed type are presented, the transition from using one of these manual modes to the other depends on the ratio of object size to hand span and on the presentation sequence, with size increasing versus decreasing. Conventional positive hysteresis (i.e., a larger transition ratio for the increasing sequence) can be accommodated by the order parameter dynamics that typify self-organizing systems (Lopresti-Goodman, Turvey, and Frank, Attention, Perception, & Psychophysics 73:1948-1965, 2011). Here we identified and addressed conditions of unconventional negative hysteresis (i.e., a larger transition ratio for the decreasing sequence). They suggest a second control parameter in the self-organization of affordance perception, one that is seemingly regulated by inhibitory dynamics occurring in the agent-task-environment system. Our experimental results and modeling extend the investigation of affordance perception within dynamical systems theory.

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confidence: 99%

Negative hysteresis in the behavioral dynamics of the affordance “graspable”

Lopresti-Goodman

Turvey

Frank

2013

Atten Percept Psychophys

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“…The torque exerted on motor shaft increases magnetic field near the polarized band and varies permanent magnetisation. The permanent magnetisation field strength and polarity from field sensor is used for torque estimation [3]. The surface acoustic wave (SAW) torque transducer consists of thin metal electrodes and piezoelectric substrate.…”

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confidence: 99%

Motor Torque Measurement Using Dual-Function Radar Polarized Signals of Flux

Chinthamani¹,

Bhuvaneswari²,

Kumar³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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Motor Torque (MT) measurement plays a vital role for evaluating the performance of squirrel cage induction motor during operating conditions. Accurate and continuous measurements of MT provide information regarding driving load capacity, performance degradation of motor, reduces downtime and increases the efficiency. Traditional inline torque sensors-based measurement becomes inaccurate during abrupt change in load during starting condition of motor due to torque spikes. Mounting of torque sensor on motor is a major problem during torque measurement. Improper mounting of sensor acquires signals from other inefficient driveline components such as gearbox, couplings, and bearing. In this paper, we propose a non-contact method for MT measurement using dual-function ultrawide band radar sensor and called as motor torque-design for reliability (MT-DFR) method, which measures torque through and air gap magnetic flux. Torque is orthogonal to air gap flux density. Air gap flux varies with motor speed, different load, and supply voltage. Dual-function ultra-wide band radar sensor signal reflect from Air gap flux and polarized. Polarized signals of Dual-function ultra-wide band radar process with multi-synchro squeezing transform (MSST) and obtain Instantaneous Frequency (IF) of air gap magnetic flux. MSST provides better representation of reconstructed signal with higher concentration for oscillatory electromagnetic waves. MT measured from IF of MSST and Gaussian process regression. Proposed method of MT measurement performs in different loading conditions such as such as no load, static and transient load conditions, and induced torque spikes. The proposed MT-DFR method predicts the torque with 98.10% accuracy compared to traditional method and ground truth verified.

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