Application of Ethernet Powerlink for Communication in a Linux RTAI Open CNC system

Erwiński, Krystian; Paprocki, Marcin; Grzesiak, Lech M.; Karwowski, K.; Wawrzak, A.

doi:10.1109/tie.2012.2206348

Cited by 61 publications

(29 citation statements)

References 19 publications

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“…I/O mapping table will be the task of the process variables and the I/O module input and output mapping directly, in addition to direct the configuration of the special attributes of the I/O module. Automation Runtime memory area is divided into two parts, ram and ROM, ROM in the CF card and is divided into UserROM and SystemROM, project of atherosclerosis and related configuration file is stored in the UserROM, SystemROM is stored automation runtime and called the project file system [4].…”

Section: Powerlink Industrial Ethernetmentioning

confidence: 99%

Design of Servo Motor Control System Based on POWERLINK Fieldbus

Pang¹,

Wang²,

Wang³

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-With the continuous development of science and technology, the servo motor control system based on real time industrial Ethernet is now more widely applied in the field of industrial automation than ever. This paper expounds the design of a servo motor control system based on POWERLINK Industrial Ethernet. The system is proven to be highly reliable and stable due to the open source and good real-time performance characteristics of the POWERLINK.

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Section: Powerlink Industrial Ethernetmentioning

confidence: 99%

Design of Servo Motor Control System Based on POWERLINK Fieldbus

Pang¹,

Wang²,

Wang³

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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“…For the time complexity, the most time consuming part is the fitness function calculation process in the main loop of the algorithm because this process contains the matrix operation and the non-dominated sorting. To calculate the optimization objectives, the time complexity is 1 = ( ( + ) 4 ), in which is the offspring quantity of the mating pool, and are the quantities of branch nodes and leaf nodes respectively. The complexity of the non-dominated sorting is ( ( + ) 2 ), and the complexity of the crowding distance assignment is ( ( + ) ( + )), so the whole time complexity of sorting part is 2 = ( ( + ) 2 ) , in which is the optimization objective quantity and is the population quantity.…”

Section: F Complexity Analysismentioning

confidence: 99%

“…The complexity of the non-dominated sorting is ( ( + ) 2 ), and the complexity of the crowding distance assignment is ( ( + ) ( + )), so the whole time complexity of sorting part is 2 = ( ( + ) 2 ) , in which is the optimization objective quantity and is the population quantity. In the worst-case scenario, 1 consumes more computation time than 2 , so the whole time complexity of proposed algorithm is ( ( + ) 4 ). For the space complexity, ( ( + ) 3 ) computation storage is required for the matrix operation and the sorting storage requirement is ( 2 ( + ) 2 ).…”

Section: F Complexity Analysismentioning

confidence: 99%

“…The switched Ethernet has been applied widely in the industrial control field thanks to its distinguishing features of the acceptable fault tolerance, high communication speed and broadcast storm restrict [4]- [6]. But in the design procedure, the designers are usually not concerned with the topology structure of the switched Ethernet, and in the following deployment and extension procedure, from the subconscious the engineers are apt to add the new network nodes to the existing nodes with a high connectivity under the influence of the Matthew effect.…”

Section: Introductionmentioning

confidence: 99%

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Multiobjective Topology Optimization Based on Mapping Matrix and NSGA-II for Switched Industrial Internet of Things

Chen

2016

IEEE Internet Things J.

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With the deep integration of Information and Communication Technology (ICT), the network performance of existing switched Ethernet cannot meet the growing control and management demands of the industrial production. To solve the time-delay and sub-network transmission balance problem, a multi-objective Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) based on mapping matrix is proposed, in which a new topology model is established to reflect the flexible Ethernet topology format. Meanwhile an adjacency mapping matrix is introduced as genetic code to embody the actual topology structure and several special properties of the mapping matrix caused by the industrial topology characteristics are proved. On the basis of these properties, an asexual crossover and double swap mutation operation is proposed to achieve the population evolution. Besides, in the genetic procedure of the proposed algorithm a self-adaptive measure and an elite reservation strategy are applied to accelerate the convergence speed. The validity of proposed algorithm is demonstrated by benchmark test and the case verification shows that the comprehensive performance of the switched Ethernet is improved. Index Terms-Internet of Things (IoT);

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“…POWERLINK [16] Figure 4. The Ethernet-based technology POWERLINK fulfills all requirements and is selected for the further implementation of the rel-time realted part of the CAP/CAB concept.…”

Section: Investigating and Evaluation Of Real-time Communication mentioning

confidence: 99%

Reducing communication-related complexity in heterogeneous networked medical systems considering non-functional requirements

Farzaneh

Nair

Nasseri

et al. 2014

16th International Conference on Advanced Communication Technology

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Abstract-Networked Medical Systems (NMS) promise better data exchange in medical infrastructures such as operating rooms in hospitals and clinics. However, the heterogeneous interfaces of medical systems and varied requirements on NMS such as real-time constraints, increase the communication complexity considering network architectures, communication protocols and software/hardware components. In this paper, a robot-assisted eye surgery is used as a clinical use case. Based on this use case and its communication types, non-functional requirements on NMS are derived. An approach for abstraction is proposed which targets at reducing the communication-related complexity in NMS. Complexity reduction in this case means that a multi-interface middleware in NMS abstracts the detailed knowledge required for implementation of different communication types such as real-time communication. The middleware architecture is divided into two main parts: Communication Abstraction Provider (CAP) and Communication Abstraction Bridge (CAB). CAP is the central component of the middleware which connects the medical systems using CABs. In this paper, the focus is on the complexity reduction of the real-time communication part. For this purpose, real-time communication protocols are investigated and evaluated for application in the CAP/CAB architecture. The result of the evaluation shows that Ethernet POWERLINK is the most suitable real-time communication protocol for the CAP/CAB architecture.

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Application of Ethernet Powerlink for Communication in a Linux RTAI Open CNC system

Cited by 61 publications

References 19 publications

Design of Servo Motor Control System Based on POWERLINK Fieldbus

Design of Servo Motor Control System Based on POWERLINK Fieldbus

Multiobjective Topology Optimization Based on Mapping Matrix and NSGA-II for Switched Industrial Internet of Things

Reducing communication-related complexity in heterogeneous networked medical systems considering non-functional requirements

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