Sliding-Mode-Based Input-Output Linearization of a Peltier Element for Ice Clamping Using a State and Disturbance Observer

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

This paper deals with an input-output linearization for a nonlinear ice clamping system based on a Peltier element used in an innovative manufacturing system. For this model-based design, a third-order state-space model is derived based on physical principles, and an input-output linearization is proposed with an asymptotically stable internal dynamics. Accordingly, a robust sliding-mode tracking control is designed to accurately track a desired cold side temperature even in the presence of disturbances. Unknown states as well as disturbances are estimated by a gain-scheduled nonlinear state and disturbance observer that can be assigned a linear error dynamics. Meaningful simulation results are shown that point out the effectiveness of the proposed control approach.

Original languageEnglish
Title of host publication27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings
EditorsRadu-Emil Precup
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date2023
Pages70-75
ISBN (print)979-8-3503-3799-0
ISBN (electronic)979-8-3503-3798-3, 979-8-3503-3797-6
DOIs
Publication statusPublished - 2023
Event27th International Conference on System Theory, Control and Computing - ICSTCC 2023 - Timisoara, Romania
Duration: 11.10.202313.10.2023
Conference number: 27
https://icstcc2023.cs.upt.ro/

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

    Research areas

  • input-output linearization, manufacturing systems, nonlinear observer, sliding-mode control, Thermal systems
  • Engineering

Recently viewed

Publications

  1. Energy Optimization in Motion Planning of a Two-Link Manipulator using Bernstein Polynomials
  2. Children's use of spatial skills in solving two map-reading tasks in real space.
  3. Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
  4. A tutorial introduction to adaptive fractal analysis
  5. Template-based Question Answering using Recursive Neural Networks
  6. A sensor fault detection scheme as a functional safety feature for DC-DC converters
  7. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
  8. lp-Norm Multiple Kernel Learning
  9. Design optimization of spiral coils for textile applications by genetic algorithm
  10. Exact and approximate inference for annotating graphs with structural SVMs
  11. Fast, Fully Automated Analysis of Voriconazole from Serum by LC-LC-ESI-MS-MS with Parallel Column-Switching Technique
  12. Recurrence Quantification Analysis of Processes and Products of Discourse
  13. Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
  14. Construct Objectification and De-Objectification in Organization Theory
  15. Computational modeling of amorphous polymers
  16. Modeling and numerical simulation of multiscale behavior in polycrystals via extended crystal plasticity
  17. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  18. Simple saturated PID control for fast transient of motion systems
  19. Dynamic Lot Size Optimization with Reinforcement Learning
  20. The delay vector variance method and the recurrence quantification analysis of energy markets
  21. Introducing parametric uncertainty into a nonlinear friction model
  22. Faulty Process Detection Using Machine Learning Techniques
  23. TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
  24. Clause identification using entropy guided transformation learning
  25. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  26. Dispatching rule selection with Gaussian processes
  27. Constraints are the solution, not the problem
  28. Dynamic priority based dispatching of AGVs in flexible job shops
  29. Mining positional data streams
  30. Understanding the properties of isospectral points and pairs in graphs
  31. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  32. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  33. Computing regression statistics from grouped data
  34. From Knowledge to Application