Combining a PI Controller with an Adaptive Feedforward Control in PMSM

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

Authors

This paper proposes an adaptive feedforward control combined with a PI controller to be applied to a Permanent Magnetic Synchronous Machine (PMSM). The adaptive technique is realized by using an Extended Kalman Filter which provides for the estimate of paramteres and states necessary for the adaption. The estimated inductivities and the estimated speed are used in a feedforward control to improve the reference variable attitude. The impact of the feedforward control on the control will be examined and the PI controller will be set up.

Original languageEnglish
Title of host publicationProceedings of the 2020 21st International Carpathian Control Conference (ICCC) : Virtual Conference, Košice, Slovak Republic October 27 - 29, 2020
EditorsIvo Petráš , Ján Kačur
Number of pages5
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date27.10.2020
Article number9257288
ISBN (print)978-1-7281-1952-6
ISBN (electronic)978-1-7281-1951-9
DOIs
Publication statusPublished - 27.10.2020
Event21st IEEE International Carpathian Control Conference - ICCC 2020 - Online, Virtual, Kosice, Slovakia
Duration: 27.10.202029.10.2020
Conference number: 21
https://iccc.fberg.tuke.sk/
https://iccc.fberg.tuke.sk/

    Research areas

  • Extended Kalman Filter, Feedforward Control, PI Control Methods, PMSMs
  • Engineering

Recently viewed

Publications

  1. Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management
  2. Material flow during constrained friction processing and its effects on the local properties of AM50 rods
  3. Impulsive Feedback Linearization for Decoupling of a Constant Disturbance with Low Relative Degree to Control Maglev Systems
  4. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations
  5. Self-tuning of a kalman filter applied in a DC drive and in a kalman-based sensor
  6. A Proposal for Integrating Theories of Complexity for Better Understanding Global Systemic Risks
  7. Control Allocation and Controller Tuning for an Over-Actuated Hexacopter Tilt-Rotor Applied for Precision Agriculture
  8. Correlation of Microstructure and Local Mechanical Properties Along Build Direction for Multi-layer Friction Surfacing of Aluminum Alloys
  9. Visualizing the Hidden Activity of Artificial Neural Networks
  10. Language and Mathematics - Key Factors influencing the Comprehension Process in reality-based Tasks
  11. Model-based logistic controlling of converging material flows
  12. Geodesign as a boundary management process
  13. Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model
  14. Combining flatness based feedforward action with a fractional PI regulator to control the intake valve engine
  15. Mixed Pickels
  16. Sharing in Christ's rule
  17. Mathematics in Robot Control for Theoretical and Applied Problems
  18. The role of spatial ability in learning from instructional animations - Evidence for an ability-as-compensator hypothesis
  19. Value Orientations in the World of Visual Art: An Exploration Based on Latent Class and Correspondence Analysis
  20. From Open Access to Open Science
  21. Design optimization of spiral coils for textile applications by genetic algorithm
  22. Microstructure-based modeling of residual stresses in WC-12Co-sprayed coatings
  23. Homogenization methods for multi-phase elastic composites with non-elliptical reinforcements
  24. Metrics for Experimentation Programs: Categories, Benefits and Challenges
  25. Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items