Robust Flatness Based Control of an Electromagnetic Linear Actuator Using Adaptive PID Controller

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

Authors

The paper presents the controller design for a high-force short-stroke linear actuator using permanent magnets as excitation. For the desired application a very high dynamic is required despite the presence of large disturbances. After the model description, a flatness based control is presented to force the system following a reference trajectory. Additionally, an adaptive feedback control, based on the PID structure and state observer, is used to stabilize the tracking against model uncertainties and external disturbance signals. A heuristic algorithm in receding horizon by using wavelets for on-line tuning of the controller parameters is proposed. Simulations using real data have been carried out to validate the proposed technique.
Original languageEnglish
Title of host publicationProceedings of the 42nd IEEE Conference on Decision and Control Conference, CDC-2003
Number of pages6
Volume4
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date2003
Pages3790-3795
Article number1271739
ISBN (print)0-7803-7924-1
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event42nd Institute of Electrical and Electronics Engineers Conference on Decision and Control - 2003 - Maui, United States
Duration: 09.12.200312.12.2003
Conference number: 42
http://cdc2016.ieeecss.org/history.php

DOI

Recently viewed

Publications

  1. A computational study of a model of single-crystal strain-gradient viscoplasticity with an interactive hardening relation
  2. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  3. Return of Fibonacci random walks
  4. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  5. Modelling and implementation of an Order2Cash Process in distributed systems
  6. Investigation and modeling of the material behavior due to evolving dislocation microstructures in fcc and bcc metals
  7. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  8. An expert-based reference list of variables for characterizing and monitoring social-ecological systems
  9. Homogenization modeling of thin-layer-type microstructures
  10. The fuzzy relationship of intelligence and problem solving in computer simulations
  11. Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
  12. Considerations on efficient touch interfaces - How display size influences the performance in an applied pointing task
  13. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  14. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  15. Probabilistic approach to modelling of recession curves
  16. Model inversion using fuzzy neural network with boosting of the solution
  17. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  18. Supporting the Decision of the Order Processing Strategy by Using Logistic Models
  19. Optimizing price levels in e-commerce applications with respect to customer lifetime values
  20. Using transition management concepts for the evaluation of intersecting policy domains ('grand challenges')
  21. Visualizing the Hidden Activity of Artificial Neural Networks
  22. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  23. Optimized neural networks for modeling of loudspeaker directivity diagrams
  24. Model-based logistic controlling of converging material flows
  25. Top-down contingent attentional capture during feed-forward visual processing
  26. Applied quality assurance methods under the open source development model
  27. Microstructural development of as-cast AM50 during Constrained Friction Processing: grain refinement and influence of process parameters
  28. Gain Scheduling Controller for Improving Level Control Performance
  29. Problem solving in mathematics education
  30. A two-stage Kalman estimator for motion control using model predictive strategy
  31. Inversion of fuzzy neural networks for the reduction of noise in the control loop