Model-Based Feedback Control via Control Integrated Observers

Model-Based Feedback Control via Control Integrated Observers

Kategorien Konferenz (reviewed)
Jahr 2014
Autoren Denkena, B. ; Overmeyer, L. ; Litwinski, K. M. ; Peters, R.
Veröffentlicht in 15th International Conference on Precision Engineering. Kanazawa, Japan: Japan Society for Precision Engineering

Today’s development of machine tools utilizes various simulation tools to design machines which are more cost and energy efficient, have higher dynamics, stiffness, and accuracies. In increasing extent, these simulation tools are currently interconnected and allow an interaction by defined interfaces. This leads to even more exact depictions of the reality and more complex machine models.
In the case of machine behavior the first natural frequency limits the performance of machine tool axes. In order to
predict the machine behavior during linear movements or machining simple models are sufficient. In this paper a rigid body simulation  is  installed  as  Kalman-Filter  on  a  machine  tool  control  and  runs  in  real  time.  The  estimated  position  and velocities  of  the  Kalman-Filter  are  used  to  control  the  axis.  The  paper  will  present  the  model  generation,  adaption,  and verification via modal analysis. To allow linear movements with the rigid body simulation the model matrices need to be updated in each time step. The implementation of the model updating and the resulting linear motion of the model bodies during  the  run  time  of  the  control  will  be  explained.  The  achieved  results  and  improvements  are  evaluated  by  the identification of the dynamic test rig behavior at different positions.[318]