6,755 research outputs found
Wireless Power and Communication Transmission for Industrial Robots
Mid-range resonant wireless power transfer (WPT) gained tremendous attention due to the higher efficiency. However, the relatively narrow transmission band has been simply drawn the technology back from being implemented in an application where the data and a power transmission are required. In this paper both the simulation and a practical implementation of a Strongly Coupled Magnetic Resonant (SCMR) system with a high frequency band for simultaneous data and power transmission is proposed. With this method communication and a power transmission can be transmitted in an industrial robot applications. Multiple TX and a single RX loop are placed between the joint of the robot in order to increase frequency spectre. The simulation has been developed in the theoretical analysis of equivalent circuits of the improved SCMR system. The analysis eventually leads to the factual parameters of a WPT system to provide its maximum efficiency for both wireless power and data transmission for an industrial robot. Besides the analysis has been validated with a comparison between the simulation results and practical implementation
Joint Pilot and Payload Power Allocation for Massive-MIMO-enabled URLLC IIoT Networks
The Fourth Industrial Revolution (Industrial 4.0) is coming, and this
revolution will fundamentally enhance the way the factories manufacture
products. The conventional wired lines connecting central controller to robots
or actuators will be replaced by wireless communication networks due to its low
cost of maintenance and high deployment flexibility. However, some critical
industrial applications require ultra-high reliability and low latency
communication (URLLC). In this paper, we advocate the adoption of massive
multiple-input multiple output (MIMO) to support the wireless transmission for
industrial applications as it can provide deterministic communications similar
as wired lines thanks to its channel hardening effects. To reduce the latency,
the channel blocklength for packet transmission is finite, and suffers from
transmission rate degradation and decoding error probability. Thus,
conventional resource allocation for massive MIMO transmission based on Shannon
capacity assuming the infinite channel blocklength is no longer optimal. We
first derive the closed-form expression of lower bound (LB) of achievable
uplink data rate for massive MIMO system with imperfect channel state
information (CSI) for both maximum-ratio combining (MRC) and zero-forcing (ZF)
receivers. Then, we propose novel low-complexity algorithms to solve the
achievable data rate maximization problems by jointly optimizing the pilot and
payload transmission power for both MRC and ZF. Simulation results confirm the
rapid convergence speed and performance advantage over the existing benchmark
algorithms.Comment: Accepted in IEEE JSAC with special issue on Industry 4.0. Keywords:
URLLC, Industrial 4.0, Industrial Internet-of-Things (IIoT), Massive MIM
Development of PAN (personal area network) for Mobile Robot Using Bluetooth Transceiver
In recent years, wireless applications using radio frequency (RF) have been rapidly evolving in personal computing and communications devices. Bluetooth technology was created to replace the cables used on mobile devices. Bluetooth is an open specification and encompasses a simple low-cost, low power solution for integration into devices. This research work aim was to provide a PAN (personal area network) for computer based mobile robot that supports real-time control of four mobile robots from a host mobile robot. With ad hoc topology, mobile robots may request and establish a connection when it is within the range or terminated the connection when it leaves the area. A system that contains both hardware and software is designed to enable the robots to participate in multi-agent robotics system (MARS). Computer based mobile robot provide operating system that enabled development of wireless connection via IP address
A robot swarm assisting a human fire-fighter
Emergencies in industrial warehouses are a major concern for fire-fighters. The large dimensions, together with the development of dense smoke that drastically reduces visibility, represent major challenges. The GUARDIANS robot swarm is designed to assist fire-fighters in searching a large warehouse. In this paper we discuss the technology developed for a swarm of robots assisting fire-fighters. We explain the swarming algorithms that provide the functionality by which the robots react to and follow humans while no communication is required. Next we discuss the wireless communication system, which is a so-called mobile ad-hoc network. The communication network provides also the means to locate the robots and humans. Thus, the robot swarm is able to provide guidance information to the humans. Together with the fire-fighters we explored how the robot swarm should feed information back to the human fire-fighter. We have designed and experimented with interfaces for presenting swarm-based information to human beings
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