Iterative Learning and Feedback Control Applied on a Deep Drawing Process
Source abstract
Abstract
Metal forming processes can general be characterized as repetitive processes, this work will take advantage of this characteristic by developing an algorithm or control system which transfers process information from part to part, reducing the impact of long term disturbances e.g. a gradual changes in the material properties.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Iterative Learning Control Systems · Advanced machining processes and optimization · Advanced Surface Polishing Techniques
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References (8)
Show source-provided references
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