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Increasing the Performance of Processing Machines by Executing Output Rate Dependent Motion Profiles
Author(s) -
Olaf Holowenko,
Bernd Kauschinger,
Steffen Ihlenfeldt
Publication year - 2017
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2017.p0165
Subject(s) - computer science , process (computing) , work (physics) , key (lock) , motion control , energy consumption , servo , stability (learning theory) , product (mathematics) , point (geometry) , energy (signal processing) , servomechanism , quality (philosophy) , control engineering , control theory (sociology) , control (management) , engineering , mechanical engineering , artificial intelligence , robot , mathematics , electrical engineering , philosophy , statistics , geometry , computer security , epistemology , machine learning , operating system
From the economic point of view, rising the output rate of processing machines is a key requirement. Thereby, particular demands are to be met, i.e., product quality, process stability, energy consumption, impact of surroundings, or safety at work. Rising the output rate is limited, if only one of these demands can not longer be met. In this paper, a novel control approach is presented that allows to change the executed motion profile due to the actual output rate. Increasing the machine’s performance is evaluated on experimental results. Unused potentials of servo drives are opened up to generate highly dynamic multi-axis motions in processing machines.

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