Self-adaptive design of a nonlinear temperature control system

Chotai, A.; Young, Peter C.; Behzadi, Mohammad-Hassan

doi:10.1049/ip-d.1991.0006

Cited by 32 publications

(6 citation statements)

References 4 publications

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“…(2) Reduce the inertia or time-lag between the measured piece and sensors by adding a compensation unit. For instance, the capability of temperature tracking and the linearity of output were heightened by bringing in an adaptive compensation algorithm by Chotai and Young [ 30 ]. However, the application to related applications, such as the measurement range, is limited.…”

Section: Thermostatic Control Of the Hmp Systemmentioning

confidence: 99%

Design and Implementation of a Hypothermic Machine Perfusion Device for Clinical Preservation of Isolated Organs

Shen

Yan

2017

Sensors

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The imbalance between limited organ supply and huge potential need has hindered the development of organ-graft techniques. In this paper a low-cost hypothermic machine perfusion (HMP) device is designed and implemented to maintain suitable preservation surroundings and extend the survival life of isolated organs. Four necessary elements (the machine perfusion, the physiological parameter monitoring, the thermostatic control and the oxygenation apparatus) involved in this HMP device are introduced. Especially during the thermostatic control process, a modified Bayes estimation, which introduces the concept of improvement factor, is realized to recognize and reduce the possible measurement errors resulting from sensor faults and noise interference. Also, a fuzzy-PID controller contributes to improve the accuracy and reduces the computational load using the DSP. Our experiments indicate that the reliability of the instrument meets the design requirements, thus being appealing for potential clinical preservation applications.

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Section: Thermostatic Control Of the Hmp Systemmentioning

confidence: 99%

Design and Implementation of a Hypothermic Machine Perfusion Device for Clinical Preservation of Isolated Organs

Shen

Yan

2017

Sensors

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“…A model in the backward shift operator z Ài (i.e. z Ài yðkÞ ¼ yðk À iÞ) of the following form is identified out of the experimental time-series data (Chotai et al 1991)…”

Section: Data-based Mechanistic (Dbm) Modelmentioning

confidence: 99%

Model-based PIP control of the spatial temperature distribution in cars

Quanten

McKenna

Brecht

et al. 2003

International Journal of Control

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An on-line mathematical approach was used to model the spatio-temporal temperature distribution in the imperfectly mixed air inside a car. A second-order model proved to be a sufficiently good description of the temperature dynamics (R 2 ¼ 0:985) of the system. Furthermore, it was possible to fully understand the physical meaning of the second-order model structure. Using this model, a proportional integral plus (PIP) climate controller was developed for a single input single output (SISO) system. The controller was able to follow a temperature level of 18-23-21 8C at any desirable point, and to robustly react to a random local disturbance.

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“…These extra compensators are derived automatically from the NMSS state feedback control law. PIP controllers have been successfully implemented in a wide range of applications (Chotai, et al 1991, Lees, et al 1995, Chotai, et al 1998, Taylor et al 2000.…”

Section: Introductionmentioning

confidence: 99%