Multi-axis systems have a wide range of applications in engineering and technology. It can be used in CNC machine tools, multi-axis industrial robots and other fields. Real-time communication modules play an important...
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ISBN:
(纸本)9798350344738;9798350344721
Multi-axis systems have a wide range of applications in engineering and technology. It can be used in CNC machine tools, multi-axis industrial robots and other fields. Real-time communication modules play an important role in multi-axis systems. It is the communication bridge between software and hardware. This paper introduces the design of a new LinuxCNC real-time communication module which based on EtherCAT SOEM master protocol library. Compared with traditional solutions, this solution has low code volume, good open source and active community support. The design scheme of the communication module is given. Verification experiments for IO slave stations and servo motor slave stations are designed for this module. The experimental results show that the calling time of the communication module is 1ms, which is strictly consistent with the host computer. The measured motor position error in each communication cycle is only +/- 2.5%, which shows that the module has accurate control time and high control precision, and can be applied to the research of multi-axis systems.
As the scale and functional capabilities of Industrial Internet of Things (IIoT) deployments continue to expand, the amount of data at the device end on the field site is growing exponentially, which leads to unreliab...
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Neuromorphic computing is emerging as a brain-inspired paradigm for low-power artificial intelligence on edge devices through event-based data processing. In this paper, we present a proof-of-concept (PoC) implementat...
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ISBN:
(纸本)9798350343205;9798350343199
Neuromorphic computing is emerging as a brain-inspired paradigm for low-power artificial intelligence on edge devices through event-based data processing. In this paper, we present a proof-of-concept (PoC) implementation of an architecture for device-edge co-inference that integrates neuromorphic computing and wireless communication. To demonstrate the concept, we present a demo setup for gesture recognition in a robotic control application. The demo setup integrates a neuromorphic sensor (event-based camera), on-device neuromorphic processor performing joint feature extraction (i.e. semantic coding) and channel coding, impulse-radio-based transmission/reception over a wireless channel, and neuromorphic processor for edge inference. In the considered architecture, learning is performed in an end-to-end fashion via the directed information bottleneck principle, which allows to trade task accuracy for communication overhead and implementation complexity.
The emerging Internet of Things (IoT) applications in healthcare and smart homes need ultra-low latency in task processing. The IoT devices have limited computing power hence, they leverage the cloud servers to proces...
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Modern homes use a large number of apparatus and they are not coordinately controlled in their maximal performance. Therefore, the room temperature may not be steady enough. Additionally, energy costs may be high due ...
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ISBN:
(纸本)9798350360882;9798350360899
Modern homes use a large number of apparatus and they are not coordinately controlled in their maximal performance. Therefore, the room temperature may not be steady enough. Additionally, energy costs may be high due to increased electricity prices during peak demand periods. In addition, the use of the facility may have fire risk, the alarm only has the function of issuing an alarm, and the processing of the alarm source is still dependent on human operation, such as turning off the power or gas. In this paper, we proposed a control system based on data-driven system identification for multiple home apparatus to control the room temperature more stable, shift the load of the refrigerator while maintaining the refrigerator function, and connect the alarm to the control system, so that it can automatically cut off the alarm source. Extensive results show that the system can effectively stabilize room temperature, reduce electricity costs, and automatically cut off the alarm source.
This paper proposes a distributed clustering-consensus algorithm for the cooperative target coverage problem of multiple-unmanned aerial vehicles (multi-UAVs) systems under incomplete information. First, the multi-UAV...
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ISBN:
(纸本)9798350344738;9798350344721
This paper proposes a distributed clustering-consensus algorithm for the cooperative target coverage problem of multiple-unmanned aerial vehicles (multi-UAVs) systems under incomplete information. First, the multi-UAV cooperative target coverage problem is analyzed in depth and a mathematical optimization model is established. Secondly, in order to solve the problem of target allocation conflicts under distributed control, targets are clustered and grouped, and conflict-free optimal allocation of targets is achieved through negotiation. Thirdly, in order to ensure the connectivity of communication links of multi-UAV systems, a communication connectivity mechanism is proposed based on the knowledge of graph theory. Finally, through simulation testing, it was further verified that the algorithm has good collaborative coverage performance.
The introduction of 5G has changed the wireless communication industry. Whereas previous generations of cellular technology are mainly based on communication for people, the wireless industry is discovering that 5G ma...
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ISBN:
(纸本)9798350333398
The introduction of 5G has changed the wireless communication industry. Whereas previous generations of cellular technology are mainly based on communication for people, the wireless industry is discovering that 5G may be an era of communications that is mainly focused on machine-to-machine communication. The application of Ultra Reliable Low Latency communication in factory automation is an area of great interest as it unlocks potential applications that traditional wired communications did not allow. In particular, the decrease in the inter-device distance has led to the discussion of coding schemes for these interference-filled channels. To meet the latency and accuracy requirements of URLLC, Non-orthogonal multiple access has been proposed but it comes with associated challenges. In order to combat the issue of interference, an enhanced version of Sliding window superposition coding has been proposed as a method of coding that yields performance gains in scenarios with high interference. This paper examines the abilities of this coding scheme in a broadcast network in 5G to evaluate its robustness in situations where interference is treated as noise in a factory automation setting. This work shows the improvements of enhanced sliding window superposition coding over benchmark protocols in the high-reliability requirement regions of block error rates approximate to 10(-6).
A new event-triggered model predictive control (ET-MPC) algorithm is proposed for continuous perturbed nonlinear systems with constraints for the purpose of reducing computing burden and communication transmission. In...
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A new event-triggered model predictive control (ET-MPC) algorithm is proposed for continuous perturbed nonlinear systems with constraints for the purpose of reducing computing burden and communication transmission. In the first step, an original event triggering condition is constructed based on the slope variation of the state error between the optimal prediction and the real state, i.e., the quasi quadratic differential (QQD) type event-triggered mechanism. Secondly, the dual-mode control has been adopted to deal with the constrained nonlinear systems subject to disturbances, based on which the execution process of the proposed QQD based ET-MPC is described. In addition, the feasibility of the algorithm and closed-loop stability of the system have been strictly proved in theory. Lastly, two simulation examples are utilized to verify the effectiveness and applicability of the proposed algorithm.
For error-tolerant applications, approximate computing decreases design complexity while improving performance and power efficiency. In many applications, precision is not strictly required. The paper provides a new m...
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Intelligent, autonomous driving units are the new trend in the world of transportation. Risk mitigation, zero carbon emission, fuel scarcity and avoiding accidents due to driver behaviors are the key factors that are ...
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