scholarly journals Predicting interconnect requirements in ultra-large-scale integrated control logic circuitry

Author(s):  
M. Y. Lanzerotti ◽  
G. Fiorenza ◽  
R. A. Rand
Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 349
Author(s):  
Jiawen Li ◽  
Tao Yu

In the proton exchange membrane fuel cell (PEMFC) system, the flow of air and hydrogen is the main factor influencing the output characteristics of PEMFC, and there is a coordination problem between their flow controls. Thus, the integrated controller of the PEMFC gas supply system based on distributed deep reinforcement learning (DDRL) is proposed to solve this problem, it combines the original airflow controller and hydrogen flow controller into one. Besides, edge-cloud collaborative multiple tricks distributed deep deterministic policy gradient (ECMTD-DDPG) algorithm is presented. In this algorithm, an edge exploration policy is adopted, suggesting that the edge explores including DDPG, soft actor-critic (SAC), and conventional control algorithm are employed to realize distributed exploration in the environment, and a classified experience replay mechanism is introduced to improve exploration efficiency. Moreover, various tricks are combined with the cloud centralized training policy to address the overestimation of Q-value in DDPG. Ultimately, a model-free integrated controller of the PEMFC gas supply system with better global searching ability and training efficiency is obtained. The simulation verifies that the controller enables the flows of air and hydrogen to respond more rapidly to the changing load.


2021 ◽  
Author(s):  
Shengrong Xie ◽  
Yiyi Wu ◽  
Dongdong Chen ◽  
Ruipeng Liu ◽  
Xintao Han ◽  
...  

Abstract In deep underground mining, achieving stable support for roadways along with long service life is critical and the complex geological environment at such depths frequently presents a major challenge. Owing to the coupling action of multiple factors such as deep high stress, adjacent faults, cross-layer design, weak lithology, broken surrounding rock, variable cross-sections, wide sections up to 9.9 m, and clusters of nearby chambers, there was severe deformation and breakdown in the No. 10 intersection of the roadway of large-scale variable cross-section at the − 760 m level in the Nanfeng working area of the Wuyang Coal Mine. As there are insufficient examples in engineering methods pertaining to the geological environment described above, the numerical calculation model was oversimplified and support theory underdeveloped; therefore, it is imperative to develop an effective support system for the stability and sustenance of deep roadways. In this study, a quantitative analysis of the geological environment of the roadway through field observations, borehole peeking, and ground stress testing is carried out to establish the FLAC 3D variable cross-section crossing roadway model. This model is combined with the strain softening constitutive (surrounding rock) and Mohr-Coulomb constitutive (other deep rock formations) models to construct a compression arch mechanical model for deep soft rock, based on the quadratic parabolic Mohr criterion. An integrated control technology of bolting and grouting that is mainly composed of a high-strength hollow grouting cable bolt equipped with modified cement grouting materials and a high-elongation cable bolt is developed by analyzing the strengthening properties of the surrounding rock before and after bolting, based on the Heok-Brown criterion. As a result of on-site practice, the following conclusions are drawn: (1) The plastic zone of the roof of the cross roadway is approximately 6 m deep in this environment, the tectonic stress is nearly 30 MPa, and the surrounding rock is severely fractured. (2) The deformation of the roadway progressively increases from small to large cross-sections, almost doubling at the largest cross-section. The plastic zone is concentrated at the top plate and shoulder and decreases progressively from the two sides to the bottom corner. The range of stress concentration at the sides of the intersection roadway close to the passageway is wider and higher. (3) The 7 m-thick reinforced compression arch constructed under the strengthening support scheme has a bearing capacity enhanced by 1.8 to 2.3 times and increase in thickness of the bearing structure by 1.76 times as compared to the original scheme. (4) The increase in the mechanical parameters c and φ of the surrounding rock after anchoring causes a significant increase in σc and σt; the pulling force of the cable bolt beneath the new grouting material is more than twice that of ordinary cement grout, and according to the test, the supporting stress field shows that the 7.24 m surrounding rock is compacted and strengthened in addition to providing a strong foundation for the bolt (cable). On-site monitoring shows that the 60-day convergence is less than 30 mm, indicating that the stability control of the roadway is successful.


Author(s):  
Xiang-min Tan ◽  
Dongbin Zhao ◽  
Jianqiang Yi ◽  
Dong Xu

An omnidirectional mobile manipulator, due to its large-scale mobility and dexterous manipulability, has attracted lots of attention in the last decades. However, modeling and control of such systems are very challenging because of their complicated mechanism. In this paper, an unified dynamic model is developed by Lagrange Formalism. In terms of the proposed model, an adaptive integrated tracking controller, based on the computed torque control (CTC) method and the radial basis function neural-network (RBFNN), is presented subsequently. Although CTC is an effective motion control strategy for mobile manipulators, it requires precise models. To handle the unmodeled dynamics and the external disturbance, a RBFNN, serving as a compensator, is adopted. This proposed controller combines the advantages of CTC and RBFNN. Simulation results show the correctness of the proposed model and the effectiveness of the control approach.


2012 ◽  
Vol 35 (2) ◽  
pp. 277-283
Author(s):  
M. Narce ◽  
◽  
R. Meloni ◽  
T. Beroud ◽  
A. Pléney ◽  
...  

Landscape modification is one of the reasons for the decrease in rabbit populations. The objective of this study was to model wild rabbit habitat using landscape ecology to create a diagnosis method able to assess habitat quality at a large scale. Rabbit presence/absence was recorded on 536 plots of 1 ha. Spotlight transect counts indicated a low relative abundance (KIA = 2.3 rabbits/km). We produced a land use map with metric precision using remote sensing. Water, bare soil, herbaceous, shrubs and trees were identified. Landscape structure and diversity were evaluated using variables available in FRAGSTATS. A logistic regression was performed to assess the link between rabbit presence/absence and landscape structure. Our results indicate that a suitable habitat has a high diversity, a medium number of patches and a small proportion of shrubs. These results could be used to diagnose the landscape prior to any management action to enhance rabbit populations and conversely be helpful as a tool of integrated control in the cases of local outbreaks with agricultural damages.


Author(s):  
Xiang-min Tan ◽  
Dongbin Zhao ◽  
Jianqiang Yi ◽  
Dong Xu

An omnidirectional mobile manipulator, due to its large-scale mobility and dexterous manipulability, has attracted lots of attention in the last decades. However, modeling and control of such systems are very challenging because of their complicated mechanism. In this article, an unified dynamic model is developed by Lagrange Formalism. In terms of the proposed model, an adaptive integrated tracking controller, based on the computed torque control (CTC) method and the radial basis function neural-network (RBFNN), is presented subsequently. Although CTC is an effective motion control strategy for mobile manipulators, it requires precise models. To handle the unmodeled dynamics and the external disturbance, a RBFNN, serving as a compensator, is adopted. This proposed controller combines the advantages of CTC and RBFNN. Simulation results show the correctness of the proposed model and the effectiveness of the control approach.


2012 ◽  
Vol 443-444 ◽  
pp. 974-979 ◽  
Author(s):  
Zi Hong Zhang ◽  
Hong Quan Zhang

Large –scale aluminum ring rolling mill is the core of ring rolling ,it is required for automatic control system to realize high precision and fast response.Based on the configuration of the equipment, characteristics of ring rolling and the process flow of production, the paper not only studied the Control principle of the automatic control system but also designed the control scheme of software and hardware. The core of system is PLC. The system can effectively control hydraulic system, measurement system, feeding servo system by the cooperation of PLC and human machine interface (HMI). It realized fully automatic operation under the ring rolling mill close-loop control. The high precision control and safe operation can be realized by using multi network communication technology and advanced full AC drive system .The rolling quality of rings is high. The design accords with the control logic requirements of rolling process control. The control system is smooth and reliable.


Author(s):  
Emilio Mordini

Identity is important when it is weak. This apparent paradox is the core of the current debate on identity. Traditionally, verification of identity has been based upon authentication of attributed and biographical characteristics. After small scale societies and large scale, industrial societies, globalisation represents the third period of personal identification. The human body lies at the heart of all strategies for identity management. The tension between human body and personal identity is critical in the health care sector. The health care sector is second only to the financial sector in term of the number of biometric users. Many hospitals and healthcare organisations are in progress to deploy biometric security architecture. Secure identification is critical in the health care system, both to control logic access to centralized archives of digitized patients’ data, and to limit physical access to buildings and hospital wards, and to authenticate medical and social support personnel. There is also an increasing need to identify patients with a high degree of certainty. Finally, there is the risk that biometric authentication devices can significantly reveal any health information. All these issues require a careful ethical and political scrutiny.


2020 ◽  
Vol 5 (3) ◽  
pp. 137 ◽  
Author(s):  
John Archer ◽  
Lisa O’Halloran ◽  
Hajri Al-Shehri ◽  
Shannan Summers ◽  
Tapan Bhattacharyya ◽  
...  

Both intestinal schistosomiasis and giardiasis are co-endemic throughout many areas of sub-Saharan Africa, significantly impacting the health of millions of children in endemic areas. While giardiasis is not considered a neglected tropical disease (NTD), intestinal schistosomiasis is formally grouped under the NTD umbrella and receives significant advocacy and financial support for large-scale control. Although there are differences in the epidemiology between these two diseases, there are also key similarities that might be exploited within potential integrated control strategies permitting tandem interventions. In this review, we highlight these similarities and discuss opportunities for integrated control of giardiasis in low and middle-income countries where intestinal schistosomiasis is co-endemic. By applying new, advanced methods of disease surveillance, and by improving the provision of water, sanitation and hygiene (WASH) initiatives, (co)infection with intestinal schistosomiasis and/or giardiasis could not only be more effectively controlled but also better understood. In this light, we appraise the suitability of a One Health approach targeting both intestinal schistosomiasis and giardiasis, for if adopted more broadly, transmission of both diseases could be reduced to gain improvements in health and wellbeing.


2012 ◽  
Vol 591-593 ◽  
pp. 1770-1775 ◽  
Author(s):  
Shuen Zhao ◽  
Yu Ling Li

According to the characteristics of the vehicle active chassis system, multi-model system including Electric Power Steering System (EPS), Anti-lock Braking System (ABS) and Semi-active Suspension system (SAS) is established. Then, using the strategy of intelligent hierarchical control, the coordinated controller of active chassis system is designed. The bottom layer controller includes 3 separate controllers, i.e., suspension, steering and braking system controllers. They are used to carry out different control tasks and achieve performance indexes of subsystems. The upper layer coordinated controller is used to judge the vehicle states. At the same time, combined with the vehicle chassis coordinated control logic and the characteristics of feed-back information coming from the bottom controllers, the upper coordinated controller make whole coordination and control decision-making to vehicle active chassis subsystems. The simulation results show that the intelligent hierarchical control can improve the vehicle operational performances effectively.


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