EtherCAT-based platform for distributed control in high-performance industrial applications

Industrial Ethernet is gradually becoming pervasive in the automation field. EtherCAT is one such technology, combining high real-time performance with a rich functionality set. Besides that, EtherCAT offers short cycle times, accurate time synchronization, redundancy and high data throughput. Most EtherCAT applications are in the 500-1000μs domain. There are only few EtherCAT master implementations in the sub-100 or sub-50μs range for high-performance applications. This paper presents EtherCAT based distributed controller which is capable of less than 30μs cycle times and was implemented on P2020 processor. Total HW and SW overhead per cycle is 9.6μs including jitter of 5μs. Achieved preciseness of the distributed time is below 20ns. The stack was designed to be modular and also reused on different platforms.

[1]  Tsutomu Yamada,et al.  Hardware acceleration architecture for EtherCAT master controller , 2012, 2012 9th IEEE International Workshop on Factory Communication Systems.

[2]  C. L. Toh,et al.  A performance analysis of three potential control network for monitoring and control in Power Electronics converter , 2012, 2012 IEEE International Conference on Industrial Technology.

[3]  Stefano Scanzio,et al.  Performance of a Real-Time EtherCAT Master Under Linux , 2011, IEEE Transactions on Industrial Informatics.

[4]  Bin Fang,et al.  The construction of soft servo networked motion control system based on EtherCAT , 2010, 2010 The 2nd Conference on Environmental Science and Information Application Technology.

[5]  Gunnar Prytz,et al.  A performance analysis of EtherCAT and PROFINET IRT , 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

[6]  Gunnar Prytz,et al.  Redundant and synchronized EtherCAT network , 2010, International Symposium on Industrial Embedded System (SIES).

[7]  G. Manduchi,et al.  Performance Comparison of VxWorks, Linux, RTAI, and Xenomai in a Hard Real-Time Application , 2008, IEEE Transactions on Nuclear Science.

[8]  Xiangning He,et al.  Modeling, analysis, and implementation of real time network controlled parallel multi-inverter systems , 2012, Proceedings of The 7th International Power Electronics and Motion Control Conference.