Development of a torque-sensorless viscometer for food processing applications

Hashimoto, Seiji; Jiang, Yuqi; Basari, Amat Amir; Jiang, Wei

doi:10.1109/icamechs.2015.7287146

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2019

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“…It was decided based on the cross validation method. Then, based on the balanced realization method, the ARX model was reduced to the 2nd order model considering the physical system equipped with the current control loop as Moreover, the value of shape constant k B was 1.13×10 4 , whose derivation method is described in [13].…”

Section: System Identificationmentioning

confidence: 99%

A Torque-Sensorless Viscometer for Food Processing Applications

Jiang

Hashimoto

Yamakoshi

et al. 2019

AMM

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Our study aims to develop a small handy low-cost viscometer for nursing care food management. There are many methods to measure the viscosity of a fluid. In this research, the rotational viscometer employing the observer-based method instead of the actual torque transducer has been developed. The digitally controlled motor has been used to estimate the viscosity in real time with high accuracy. In order to verify the effectiveness of the developed viscosity estimation method, a prototype viscometer has been constructed and tested the viscosity estimation accuracy with standard liquids. As a result, the viscosity accuracy is equivalent to that of the conventional torque transducer-equipped viscometer.

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Section: System Identificationmentioning

confidence: 99%