A multi input sliding mode control for Peltier Cells using a cold-hot sliding surface

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

A multi input sliding mode control for Peltier Cells using a cold-hot sliding surface. / Mironova, Alexandra; Mercorelli, Paolo; Zedler, Andreas.
In: Journal of the Franklin Institute, Vol. 355, No. 18, 12.2018, p. 9351-9373 .

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{d7c44dba29fe42e6bc20a20699b021f8,
title = "A multi input sliding mode control for Peltier Cells using a cold-hot sliding surface",
abstract = "This paper deals with an application of the Sliding Mode Control (SMC) in the presence of lumped temperature disturbances in Peltier Cells (PCs). A controller is proposed so that a temperature disturbance reduction is obtained. A constructive Theorem based on a particular sliding mode surface using Lyapunov approach is demonstrated. Specifically, the proven Theorem shows a structural control law which consists of an interacting input law between the two available inputs of current and forced heat convection transfer function (ventilation input). The sliding mode surface is defined in terms of cold and hot state variables, emphasizing a new two sided control approach for PCs. In terms of applications, the localization problems are very important to minimize errors in all cases in which PCs are used. The application approach is targeted on a novel workpiece clamping device, which uses PCs to freeze water on a metallic plate under subzero temperatures. The ice structure is capable of evolving enough bonding strength to clamp workpieces form and force-fitted during machining operations without deforming the piece mechanically. This capability is especially crucial for micro parts as well as for hard to clamp pieces made of brittle or soft materials and irregular shaped complex geometries. The proposed SMC approach shows a robustness against the parametric uncertainties due to the nonlinear model of PCs. Computer simulation results as well as measurements are shown.",
keywords = "Engineering",
author = "Alexandra Mironova and Paolo Mercorelli and Andreas Zedler",
year = "2018",
month = dec,
doi = "10.1016/j.jfranklin.2017.10.033",
language = "English",
volume = "355",
pages = "9351--9373 ",
journal = "Journal of the Franklin Institute",
issn = "0016-0032",
publisher = "Elsevier Ltd",
number = "18",

}

RIS

TY - JOUR

T1 - A multi input sliding mode control for Peltier Cells using a cold-hot sliding surface

AU - Mironova, Alexandra

AU - Mercorelli, Paolo

AU - Zedler, Andreas

PY - 2018/12

Y1 - 2018/12

N2 - This paper deals with an application of the Sliding Mode Control (SMC) in the presence of lumped temperature disturbances in Peltier Cells (PCs). A controller is proposed so that a temperature disturbance reduction is obtained. A constructive Theorem based on a particular sliding mode surface using Lyapunov approach is demonstrated. Specifically, the proven Theorem shows a structural control law which consists of an interacting input law between the two available inputs of current and forced heat convection transfer function (ventilation input). The sliding mode surface is defined in terms of cold and hot state variables, emphasizing a new two sided control approach for PCs. In terms of applications, the localization problems are very important to minimize errors in all cases in which PCs are used. The application approach is targeted on a novel workpiece clamping device, which uses PCs to freeze water on a metallic plate under subzero temperatures. The ice structure is capable of evolving enough bonding strength to clamp workpieces form and force-fitted during machining operations without deforming the piece mechanically. This capability is especially crucial for micro parts as well as for hard to clamp pieces made of brittle or soft materials and irregular shaped complex geometries. The proposed SMC approach shows a robustness against the parametric uncertainties due to the nonlinear model of PCs. Computer simulation results as well as measurements are shown.

AB - This paper deals with an application of the Sliding Mode Control (SMC) in the presence of lumped temperature disturbances in Peltier Cells (PCs). A controller is proposed so that a temperature disturbance reduction is obtained. A constructive Theorem based on a particular sliding mode surface using Lyapunov approach is demonstrated. Specifically, the proven Theorem shows a structural control law which consists of an interacting input law between the two available inputs of current and forced heat convection transfer function (ventilation input). The sliding mode surface is defined in terms of cold and hot state variables, emphasizing a new two sided control approach for PCs. In terms of applications, the localization problems are very important to minimize errors in all cases in which PCs are used. The application approach is targeted on a novel workpiece clamping device, which uses PCs to freeze water on a metallic plate under subzero temperatures. The ice structure is capable of evolving enough bonding strength to clamp workpieces form and force-fitted during machining operations without deforming the piece mechanically. This capability is especially crucial for micro parts as well as for hard to clamp pieces made of brittle or soft materials and irregular shaped complex geometries. The proposed SMC approach shows a robustness against the parametric uncertainties due to the nonlinear model of PCs. Computer simulation results as well as measurements are shown.

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85039908006&partnerID=8YFLogxK

U2 - 10.1016/j.jfranklin.2017.10.033

DO - 10.1016/j.jfranklin.2017.10.033

M3 - Journal articles

AN - SCOPUS:85039908006

VL - 355

SP - 9351

EP - 9373

JO - Journal of the Franklin Institute

JF - Journal of the Franklin Institute

SN - 0016-0032

IS - 18

ER -

Recently viewed

Publications

  1. Anomaly detection in formed sheet metals using convolutional autoencoders
  2. Control of a Sun Tracking Robot Based on Adaptive Sliding Mode Control with Kalman Filtering and Model Predictive Control
  3. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  4. Introducing a multivariate model for predicting driving performance
  5. Reading and Calculating in Word Problem Solving
  6. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  7. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  8. Inversion of fuzzy neural networks for the reduction of noise in the control loop
  9. Age-related differences in processing visual device and task characteristics when using technical devices
  10. Enhancing Performance of Level System Modeling with Pseudo-Random Signals
  11. Neural Combinatorial Optimization on Heterogeneous Graphs
  12. Transformer with Tree-order Encoding for Neural Program Generation
  13. Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
  14. Mathematics in Robot Control for Theoretical and Applied Problems
  15. PI and Fuzzy Controllers for Non-Linear Systems
  16. Analysis And Comparison Of Dispatching RuleBased Scheduling In Dual-Resource Constrained Shop-Floor Scenarios
  17. Exploration strategies, performance, and error consequences when learning a complex computer task
  18. Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
  19. How to support synchronous net-based learning discourses
  20. Construct Objectification and De-Objectification in Organization Theory
  21. Development and validation of a method for the determination of trace alkylphenols and phthalates in the atmosphere
  22. Recurrence quantificationanalysis as a general-purpose tool for bridging the gap between qualitative and quantitative analysis