Real-Time Motion Control Method Using Measured Delay Information on Access Edge Computing

Koyasako, Yushi; Suzuki, Takahiro; Kim, Sang-Yuep; Kani, Jun‐ichi; Tanida, Jun

doi:10.1109/ccnc46108.2020.9045470

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…・ Step C -The IoT device receives the control signal (C1) and performs the control processing (C2). As an example of IoT control, the control cycle of drone is 100ms [2]. For drone autopiloting, control application collects the drone's GPS information and directs drone movement to the destination [3].…”

Section: Introductionmentioning

confidence: 99%

Proposal of migration system for FPGA container-based IoT control application

et al. 2023

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IoT control applications can be placed in the cloud to reduce the cost of IoT devices. However, the ability to migrate the IoT control application to another server due to system maintenance etc. must be assured. This paper proposes a migration method for real-time IoT control applications that does not affect IoT control of periodically controlled IoT devices with short cycle. We implement and evaluate our FPGA container migration system assuming an IoT control application running on FPGA containers. Experiments show our system is able to migrate the IoT control application with a control cycle of 60ms.

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Section: Introductionmentioning

confidence: 99%

Proposal of migration system for FPGA container-based IoT control application

et al. 2023

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“…We previously proposed the access edge concept for realtime motion control of the IoT devices by installing computation resources in the central office or micro data center near the user's site and implementing edge computing technology [17], [18]. Since the central office is located closest in the network to the user, the effect of delay is basically small, and high-precision motion control of IoT devices can be achieved.…”

Section: Introductionmentioning

confidence: 99%

Demonstration of Real-Time Motion Control Method for Access Edge Computing in PONs

et al. 2022

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In the remote motion control of IoT devices, the delay adversely affects control performance. In our access edge concept, in which motion control is performed from a central office, the delay becomes large due to Dynamic Bandwidth Allocation (DBA) when the Passive Optical Network (PON) is adopted as the access system. No existing motion control method considers the delay changes of the DBA algorithm. We rectify this omission by proposing a novel real-time and high-precision motion control method that links the PON device and the controller. The proposed method can improve the control performance while maintaining the bandwidth utilization efficiency without changing the DBA delay specified to meet the requirements. In the proposed method, the delay in the PON system is calculated by using a delay model based on the setting parameter received from the communication device, and is used for delay compensation control. An experiment shows that, unlike the conventional method which becomes unstable and fails to realize control, the proposed method achieves high resolution control within 4 s, which demonstrates the feasibility of motion control for factory automation using edge computing in PON systems.

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“…We previously proposed the concept of the access edge, which integrates edge computing into the optical access system for real-time motion control [20]. In the optical access system, delay can be accurately measured by acquiring the dwell time from communication devices, which is expected to yield more detailed control.…”

Section: Introductionmentioning

confidence: 99%

Motion Control System With Time-Varying Delay Compensation for Access Edge Computing

et al. 2021

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There is an increasing demand for motion control of Internet of Things devices such as drones and industrial machines from large computational resources on the network side. Since the delay between communication devices adversely affects the control performance, utilization of low-latency platforms such as edge computing is promising. However, no other study focuses on architecture and control methods in optical access network for motion control. We aim at realizing the access edge that performs real-time motion control on an edge server located in a central office. This paper proposes an access edge configuration and a control method that offers time-varying delay compensation based on delay information. We evaluate control performance of our method when delay is increased and packet loss occurs under a high network load environment. We demonstrate that when the downstream traffic changes from 9 to 10 Gbps, the proposed method offers motor control settling times of 2.7 s and 8.0 s, respectively, while the conventional method cannot control the motor in either case.

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Real-Time Motion Control Method Using Measured Delay Information on Access Edge Computing

Cited by 10 publications

References 7 publications

Proposal of migration system for FPGA container-based IoT control application

Proposal of migration system for FPGA container-based IoT control application

Demonstration of Real-Time Motion Control Method for Access Edge Computing in PONs

Motion Control System With Time-Varying Delay Compensation for Access Edge Computing

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