Technical Name 零接觸雲端智慧工具機維護專家系統
Project Operator National Yang Ming Chiao Tung University
Project Host 李慶鴻
Summary
Our system provides system identification, servo tuning,feed axis diagnosis for machine tools. Also, executing remote function verification,data collection are included. All these functions were actually tested verified by the co-operation manufacturer. It help operatorsengineers to maintainadjust the machine so that the feed drive system match. During this critical time of the COVID-19 epidemic, the proposed system provides a zero-touch remote diagnostic functionmethod for engineers to maintain the machines in the processing plant can effectively reduce coststime.
Scientific Breakthrough
The system provides the selections to establish corresponding virtual system, different motors (linear, direct drives, …)processing platforms. Subsequently, the three-step system identification approach using optimization algorithm is proposed by sine sweep functionfrequency response. The physical parameters, motor inertia, mass, viscous friction, screw rigidity, bandwidth are obtained simultaneously. Finally, the virtual model are used to optimize the parameters to have PID parametersbandwidth after tuning,provide users with the tuning through the system.
Industrial Applicability
As the cumulative used time increases, maintenanceadjustments are required to guarantee the quality of products. One way is contact vendor for maintenance service. The proposed technologies were testedverified by the cooperation manufacturer. It can efficiently help usersengineers to perform maintenance by using cloud system. During COVID-19 pandemic, it can provide users with remote access to machine status for quick tuning to reduce costdowntime,the cloud system to achieve "zero-touch machine maintenancepre-diagnosis", which improves production efficiency.
Matching Needs
天使投資人、策略合作夥伴
Keyword Machine tools Cloud Zero Contact System identification Servo tuning diagnosis
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