An Adaptive and Optimized Switching Observer for Sensorless Control of an Electromagnetic Valve Actuator in Camless Internal Combustion Engines

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

In this paper, the design and operation of a special electromagnetic actuator as a variable engine valve actuator are presented. Further, this paper describes a feasible approximated velocity switching estimator based on measurements of current and input voltage to achieve sensorless control. The proposed concept allows a reduced-order observer to be conceived and yields a specific control strategy with an acceptable performance. In general, this approach represents a viable strategy to build reduced-order observers for estimating the velocity of systems through the measurement of input current and voltage. The robustness of the velocity tracking is explored using a minimum variance approach. The effect of the noise is minimized, and the position can be achieved through an adaptive and optimized structure by combining this particular velocity estimator and an observer based on the electromechanical system. Position control is achieved through an inversion of the model. This approach avoids a more complex structure for the observer and yields an acceptable performance as well as eliminating bulky position-sensor systems. In addition, a control strategy is presented and discussed. Computer simulations of the sensorless control structure are presented in which the positive effects of the observer with optimized parameter setting are visible in the closed-loop control.
Original languageEnglish
JournalAsian Journal of Control
Volume16
Issue number4
Pages (from-to)959-973
Number of pages15
ISSN1561-8625
DOIs
Publication statusPublished - 07.2014

    Research areas

  • Energy research - Nonlinear systems, Observer, Sensorless control, Computer simulation, Electromagnetic actuators
  • Engineering

DOI

Recently viewed

Publications

  1. Image compression based on periodic principal components
  2. Using CNNs to Detect Graphical Representations of Structural Equation Models in IS Papers
  3. Exploring the limits of graph invariant- and spectrum-based discrimination of (sub)structures.
  4. Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives
  5. Linear free vibrations with uncertain initial conditions
  6. Appendix A: Design, implementation, and analysis of the iGOES project
  7. Digging into the roots
  8. Dividing Apples and Pears: Towards a Taxonomy for Agile Transformation
  9. Optimization of 3D laser scanning speed by use of combined variable step
  10. Gain Adaptation in Sliding Mode Control Using Model Predictive Control and Disturbance Compensation with Application to Actuators
  11. Overcoming Multi-legacy Application Challenges through Building Dynamic Capabilities for Low-Code Adoption
  12. Modelling biodegradability based on OECD 301D data for the design of mineralising ionic liquids
  13. Effectiveness of a Web-Based Cognitive Behavioural Intervention for Subthreshold Depression
  14. Switching between reading tasks leads to phase-transitions in reading times in L1 and L2 readers
  15. Challenge-oriented policy making and innovation systems theory: reconsidering systemic instruments
  16. Cross-case knowledge transfer in transformative research: enabling learning in and across sustainability-oriented labs through case reporting
  17. Towards Advanced Learning in Dispatching Rule-Based Scheuling
  18. Kit based motion generator for a soft walking robot