Dynamic tunable and reconfigurable hardware controller with EKF-based state reconstruction through FPGA-in the loop

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

Details

Original languageEnglish
Number of pages8
Publication statusPublished - 2018
Peer-reviewedYes

Conference

TitleInternational Conference on ReConFigurable Computing and FPGAs 2018
Abbreviated titleReConFig 2018
Duration3 - 5 December 2018
Degree of recognitionInternational event
CityCancun
CountryMexico

External IDs

ORCID /0000-0003-2571-8441/work/142240412
Scopus 85063132820

Keywords

Research priority areas of TU Dresden

Keywords

  • control system synthesis, feedback, field programmable gate arrays, three-term control, reconfigurable hardware controller, EKF-based state reconstruction, state-based controller, feedback controller, Mathematical model, FPGA-in the loop (FIL), Control Algorithm, Inverted Pendulum, Kalman filters, PD control, pendulums, PI control, position control, simulation model, inverted pendulum system, dynamic tunable control, reconfigurable control, inverted pendulum model, FIL, Extended Kalman Filter, equilibrium position, P/PI/PD/PID-Controller, dynamic partial reconfiguration, FPGA, Hardware, Sensors, Matlab, Field programmable gate arrays, Observers, Extended Kalman Filter (EKF)