HALAMKA, V., et al. Drive axis controller optimization of production machines based on dynamic models. The International Journal of Advanced Manufacturing Technology. 2021, 115(4), 1277-1293. ISSN 0268-3768. DOI 10.1007/s00170-021-07160-w.
The paper deals with the creation and implementation of a methodology for optimizing the parameters of cascade control of the
machine tool axis drives. The first part presents the identification of a dynamic model of the axis based on experimental data from
measuring the axis dynamics. The second part describes the controller model, selection of optimization objective functions, and
optimization of constraint conditions. The optimization of controllers is tuned by simulation using identified state-space model.
Subsequently, the optimization procedure is implemented on the identified model, and the found control parameters are used on a
real machine tool linear axis with different loads. The implementation of the proposed complex procedure on a real horizontal
machine tool proved the advantage of simultaneous tuning of all parameters using optimization methods. The strategy solves the
problem of mutual interaction of all control law parameters disabling effective usability of gradual sequential tuning. The methodology
was developed on a speed control loop, the tuning of which is usually the most difficult due to the close interaction with the
dynamic properties of the machine mechanics. The whole procedure is also applicable to the position and current control loop.
eng
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.relation.ispartof
The International Journal of Advanced Manufacturing Technology
dc.subject
Machine tool
eng
dc.subject
Drive axis
eng
dc.subject
Identification
eng
dc.subject
Cascade control
eng
dc.subject
Speed control loop
eng
dc.title
Drive axis controller optimization of production machines based on dynamic models