An EKF-based observer for sensorless valve control in camless internal combustion engine

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

Authors

Camless internal combustion engines offer improvements over traditional engines in terms of torque performance, reduction of emissions, reduction of pumping losses, fuel economy. Theoretically, electromagnetic valve actuators offer the highest potentials for improving efficiency due to their control flexibility. Sensorless control is one of the most important issues with regard to real implementation of this new technology. This paper proposes an observer based on an extended Kalman filter to realize a sensorless control. Current is measured while position as well as velocity of the electromagnetic valve are estimated. Real data from a valve actuator prototype are used to show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008
Number of pages6
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date01.11.2008
Pages85-90
Article number4757933
ISBN (print)978-1-4244-1767-4
ISBN (electronic)978-1-4244-1766-7
DOIs
Publication statusPublished - 01.11.2008
Externally publishedYes
Event34th Annual Conference of the IEEE Industrial Electronics Society - IECON 2008 - Orlando, United States
Duration: 10.11.200813.11.2008
Conference number: 34

    Research areas

  • Actuators, Cellular radio systems, Combustion, Control theory, Engines, Extended Kalman filters, Fuel economy, Internal combustion engines, Leakage (fluid), Thermochemistry, Electromagnetic valves, Improving efficiencies, Internal combustions, New technologies, Pumping loss, Sensor less controls, Sensor-less, Valve actuators, Valve controls, Industrial electronics
  • Engineering

Recently viewed

Publications

  1. Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions:
  2. Spatially assessing unpleasant places with hard- and soft-GIS methods
  3. Comparison of Trajectory Estimation Methods Based on LIDAR and Monocular Camera in a Simulated Environment
  4. Managing (in) times of uncertainty
  5. Development of Early Spatial Perspective-Taking - Toward a Three-Level Model
  6. A simple control strategy for increasing the soft bending actuator performance by using a pressure boost
  7. Constructing strangeness
  8. Metaheuristics approach for solving personalized crew rostering problem in public bus transit
  9. Robust Estimation of Linear Fixed Effects Panel Data Models with an Application to the Exporter Productivity Premium
  10. Optimizing price levels in e-commerce applications
  11. Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis
  12. Public perceptions of CCS in context
  13. Which nudges get support - A Quantitative Analysis of the Dimensions Transparency and Dual Process Theory
  14. Outperformed by a Computer? - Comparing Human Decisions to Reinforcement Learning Agents, Assigning Lot Sizes in a Learning Factory
  15. Influence of Mg content in Al alloys on processing characteristics and dynamically recrystallized microstructure of friction surfacing deposits
  16. The structure of emotions in learning situations
  17. Convergence of adaptive learning and expectational stability
  18. Performance predictors for graphics processing units applied to dark-silicon-aware design space exploration