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This paper details a tool that control specialists can use to select the control platform that provides superior performance by detailing a methodology that investigated the effects of a motion control s architecture on the performance characteristics of a multi-axis tracking application. The methodology introduced in this paper can be implemented by control specialists easily since it eliminates hardware dependency and allows for easy targeting of the bottlenecks. To test this methodology, this study utilized both centralized and decentralized motion control architectures with a SERCOS…mehr

Produktbeschreibung
This paper details a tool that control specialists can use to select the control platform that provides superior performance by detailing a methodology that investigated the effects of a motion control s architecture on the performance characteristics of a multi-axis tracking application. The methodology introduced in this paper can be implemented by control specialists easily since it eliminates hardware dependency and allows for easy targeting of the bottlenecks. To test this methodology, this study utilized both centralized and decentralized motion control architectures with a SERCOS interface to personal computer (PC) and programmable automation controller (PAC) based controllers implemented with ladder logic programming techniques. The study found that the bottlenecks migrate as control architectures and components differed. Distributed control outperformed centralized control architectures in each case and PAC-based control platforms outperformed PC-based platforms in servoperformance, but PC-based platforms outperformed PAC- based platforms in scan time performance.
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Autorenporträt
Tracy P. Pierner, Ph.D., P.E. University of Wisconsin-Madison - B.S. in Electrical Engineering Case Western Reserve University - M.S. in Engineering, emphasis on Control and Automation Systems Indiana State University - Ph.D. in Technology Management - Manufacturing Systems