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共 285 条记录，以下是181-190 订阅

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Decision-Making Method for the Humidity control Subsystem of the Cyber-Physical system “Smart House”

Decision-Making Method for the Humidity Control Subsystem of...

引用

ieee international conference on Dependable systems, Services and Technologies (DESSERT)

作者： Tetiana Hovorushchenko Serhii Aleksov Artem Boyarchuk Department of Computer Engineering and Information Systems Khmelnytskyi National University Khmelnytskyi Ukraine Department of Law TalTech /Tallinna Tehhnikaülikool Tallinn Estonia

Currently, an urgent task is to provide automatic decision support in the cyber-physical system “Smart House”. the aim of this study is to support decision-making in the humidity control subsystem of the cyber-physical system “Smart House” in order to ensure fully automatic control of such a subsystem. the method of setting up the humidity control subsystem of the cyber-physical system “Smart House” developed in this article allows to introduce the necessary parameters for further automatic functioning of the humidity control subsystem in residential premises of various types. the developed decision-making method for the humidity control subsystem of the cyber-physical system “Smart House” provides a comfortable (taking into account building and sanitary and hygienic standards) moisture concentration in the air environment of the corresponding residential premises. the experiments have proved that the developed method provides for the recognition of situations and support for decision-making regarding the moisture concentration in the air environment of a certain type of dwelling.

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Switched-threshold Event-Triggered Fixed-Time control for Nonlinear Uncertain systems with Full-States Constraints

Switched-Threshold Event-Triggered Fixed-Time Control for No...

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Yu-Jia Li Shao-Xiong Li Cui-Hua Zhang Chang-Chun Hua Institute of Electrical Engineering Yanshan University Qinhuangdao China

this article addresses the problem of fixed-time tracking control for uncertain nonlinear systems with full-state constraints and unknown disturbances. To approximate the unknown terms in the systems, fuzzy logic systems (FLS) are used. the issue caused by the nonstrict-feedback property is resolved by reducing the inequality of Gaussian functions. A new fixed-time controller is then devised using the barrier Lyapunov function technique and the command filter method in backstepping. Additionally, a novel dynamic switched-threshold event-triggered mechanism (DSEM) is created to conserve communication resources while avoiding excess measurement errors. the proposed approach ensures that the tracking error is confined to a small compact set, and all system states are maintained under asymmetric constraints at all times. Finally, the proposed method is validated through experimentation.

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Short-Term Wind Speed Prediction for Saudi Arabia via 1D-CNN

Short-Term Wind Speed Prediction for Saudi Arabia via 1D-CNN

引用

ieee international conference on system engineering and Technology

作者： Abdulrahman Katranji Md Shafiullah Shafiqur Rehman Electrical Engineering Department King Fahad University of Petroleum & Minerals (KFUPM) Dhahran Saudi Arabia Control & Instrumentation Engineering IRC for Renewable Energy and Power Systems (IRC-REPS) K.A.CARE Energy Research & Innovation Center (ERIC) KFUPM Dhahran Saudi Arabia IRC for Renewable Energy and Power Systems (IRC-REPS) KFUPM Dhahran Saudi Arabia

As fluctuating wind power is incorporated into the energy mix, grid operators encounter dire challenges. Managing grid operations requires accurate knowledge of available wind power and its variation with time. Wind power can be estimated by providing reliable and fast wind speed prediction at different hub heights. Hence, this study proposes a one-dimensional convolutional neural network (1D-CNN) model for wind speed prediction at different heights and aboveground levels (AGL). the results of the proposed model are compared with three deep learning models to validate its repeatability. the results show a competitive performance between the proposed model and the gated recurrent unit (GRU) network. Furthermore, the study indicates that capturing wind speed at 18m height for training is sufficient for predicting wind speed at higher elevations. Further research could focus on adding exogenous variables to assess their impact on predicting wind speed at different AGL heights.

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Machine Learning for Fault Diagnosis in Active Distribution Networks

Machine Learning for Fault Diagnosis in Active Distribution ...

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ieee international conference on system engineering and Technology

作者： Nadir E. Mohamed Md Shafiullah Hamza M. Anwar Electrical Engineering Department King Fahd University of Petroleum & Minerals (KFUPM) Dhahran Saudi Arabia Control & Instrumentation Engineering IRC for Renewable Energy and Power Systems (IRC-REPS) K.A.CARE Energy Research & Innovation Center (ERIC) KFUPM Dhahran Saudi Arabia

the distribution network links the customer to the power supplier in power systems. One fundamental responsibility of the distribution network is to provide consumers with high-quality and reliable electricity. Faults in distribution grids cause severe burdens and introduce financial losses to the customers relying on them. the uncertainty about the location and the type of fault amplifies the issue as it complicates the maintenance process and causes additional losses. this paper used the short-time Fourier transform to extract features from a simulated active distribution network’s measurements. the features extracted were then fed to feedforward neural network models, which we trained for fault detection, classification, and localization. Results demonstrate that the developed models accurately detect and classify the faults in the active distribution network, demonstrating the reliability and effectiveness of the proposed models. Also, the proposed approaches were able to locate the faults in the simulated network accurately. Eventually, suggested models could elegantly handle load variation, renewable energy resources generation, and fault information ambiguity.

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LabVIEW-based Design of Smart Wireless Monitoring system for Cardiac Patients

LabVIEW-based Design of Smart Wireless Monitoring System for...

引用

ieee international conference on system engineering and Technology

作者： Ruqaya Muataz Mahmood Ahmed R. Ajel Jameel Kadhim Abed Rawnaq Adnan Mahmod Ayad Al-Dujaili Amjad Jaleel Humaidi Electrical Eng.Technical College Middle Technical University Iraq-Baghdad Training & Energy Researches Office Ministry of Electricity Iraq-Baghdad Control and Systems Eng. Dept University of Technology Iraq-Baghdad

In recent decades, heart disease has emerged as a major threat to public health. the challenge problem in such diseases is to diagnose the problems in the heart early before get a critical threat in human’s life. In this study, ECG surveillance system has been designed and implemented in real-time environment to detect and diagnose the heart disease with low cost and burden on patients. the real-time implementation of the device includes both hardware and software designs. the medical device AD8232 will record the patient’s electrocardiogram (ECG) from the chest and transmit these data to a PC computer via Arduino DUE. then, the ECG data will be sent to LabVIEW programming platform to make usual medical analysis. Inside LabVIEW platform, the features of ECG features are extracted using wave transform. Subsequently, the results of analysis will be sent to IOT, where it is received by the thing Speak server, from where it can be accessed by a doctor or hospital via a mobile device for diagnosis.

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Mechatronic design and monitoring of a tuned mass damper in structural vibrations

Mechatronic design and monitoring of a tuned mass damper in ...

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ieee Annual computing and Communication Workshop and conference (CCWC)

作者： Jose Luis Nizama-Mallqui Evelin Ruth Mayta-Mercado Ivan Enrique Sarmiento-Ñaupa Albert Jorddy Valenzuela-Inga Juan Gabriel Benito-Zuñiga Lizbett N. Mantari-Ramos Giovene Perez-Campomanes Department of Civil Engineering Universidad Continental Huancayo Peru Department of Mechatronic Engineering Universidad Continental Huancayo Peru

the implementation of passive systems is gaining relevance due to the seismic vulnerability of high-rise buildings in several countries around the world, since they help structures to dissipate external loads, providing stiffness and damping against dynamic earthquake loads. this research aims to improve the dynamic response of the structure by implementing the tuned mass damper (TMD) for 10, 15 and 30-story buildings through engineering software and simulations with a MPU 6050 Gyroscope sensor, to obtain the seismic acceleration over time. An improvement of the inelastic drift in the X direction of up to 22.78% was obtained in the 15-story building, for the basal shear in the X direction was improved by 17.49% in the 10-story building and an improvement of the fundamental period of up to 10.55% in the 30-story building. Finally, the incorporation of the TMD as a seismic dissipator for a passive lateral displacement control system could show the reduction of the inelastic drifts of each floor and basal shear in the buildings, seeking to generate earthquake protection to reduce the damaging impacts produced by the presence of the earthquake, being more favorable for mid-rise buildings; likewise, the gyroscopic sensor yielded efficient results of electronic and mechanical design since the signals received showed that the mid-rise buildings reflect a more stable behavior.

关键词： Vibrations Visualization Displacement control Buildings Earthquakes Shock absorbers Software

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Multimodel Predictive control for Wastewater Treatment Process with Multirate Sampling Intervals

Multimodel Predictive Control for Wastewater Treatment Proce...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Shijia Fu Haoyuan Sun Zheng Liu Honggui Han Yan Zhang Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing University of Technology Beijing China China Academy of Information and Communications Technology Beijing China

Influenced by the biochemical reactions and sensor characteristics, the wastewater treatment process (WWTP) has been regarded as a multirate sampling system. To deal with the asynchronous control problem caused by multirate sampling, a multimodel predictive control (MMPC) scheme is proposed to improve the operation performance of WWTPs. First, a multimodel predictive control structure is constructed such that the controlled variables with multirate sampling intervals of WWTPs are able to be tracked synchronously at each sampling instant. Second, the fuzzy neural networks (FNNs) are adopted as the carrier for multimodel to compute the synchronous prediction outputs of all controlled variables at each sampling instant. Moreover, an adaptive cost function is excogitated to obtain the optimal control action in which the adaptive parameter is to minimize the impact of forecast errors on the tracking effect. Ultimately, the experiment results on the benchmark simulation model 1 (BSM1) have verified the efficiency of the proposed MMPC.

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Adaptive Impedance Zero-Force control for Skull Drilling Based on Human-Machine Interaction

Adaptive Impedance Zero-Force Control for Skull Drilling Bas...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Mingchi Bi Hongtai Cheng Xiaohan Guan Zhenming Jia School of Mechanical Engineering and Automation Northeastern University Shenyang China

In recent years, robot-assisted surgery has become increasingly popular in the medical field. the current practice of craniotomy, which involves a surgeon manually operating a skull drill, is time-consuming, labor-intensive, and carries a high risk of complications. To overcome these problems, this paper proposes an adaptive impedance zero-force control method based on human-machine interaction. the proposed method uses a human-in-the-loop control system to achieve zero-force mode for the robot, while also allowing it to adaptively switch modes under different conditions. A skull drilling status model is established by monitoring changes in drilling currently and interactive force using a drilling sensor to provide drilling protection. Simulation results verify the feasibility of the algorithm for detecting changes in current peak values and also confirm the effectiveness of the drag function, mode switching under different conditions, and the function of skull drill stops by experiment. the results demonstrate that this method effectively enables mode switching and drill-stop functionality during the drag and drop process.

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Comprehensive Evaluation Index system and Method for Reactive Power Support Capability of Wind/Photovoltaic/Storage Power Stations

Comprehensive Evaluation Index System and Method for Reactiv...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Jinyuan Fang Kai Hou Yingwei Jiang Bingtuan Gao Guozhong Zhang Xuewei Shi School of Electrical Engineering Southeast University Nanjing Jiangsu China State Key Laboratory of Smart Grid Protection and Control Nanrui Group Co. Nanjing Jiangsu China State Grid Hebei Zhangjiakou Scenery Storage and Transmission New Energy Co. Ltd Zhangjiakou Hebei China

High proportion of renewable energy integrated into the power grid results in lower system inertia and deterioration of voltage characteristics. Understanding the reactive power support characteristics of wind/photovoltaic (PV) /storage power station is critical for achieving coordinated control of their reactive power. In this regard, the paper proposes a comprehensive evaluation index system that considers voltage, reactive power support, and reactive power control to evaluate the reactive power support capability of wind/photovoltaic/storage power station. To validate the effectiveness of the index system, this paper constructs a simulation scenario of a wind/photovoltaic/storage power station connected to the regional power grid and calculates the corresponding indices. the fuzzy membership function is used to normalize the indicators. the subjective and objective combination weighting method is used to assign values to the indicators, and the reactive power support capability ratings of each power station are calculated. Finally, the reactive power support capability of the wind/photovoltaic/storage power plant was analyzed in combination with simulation scenarios, and the effectiveness of the comprehensive evaluation index system and method was verified.

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Disturbance Compensation Based Sliding Mode control for Aerial Soft Manipulator system

Disturbance Compensation Based Sliding Mode Control for Aeri...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Ying Jin Tengfei Pei Hai Yu Zhaopeng Zhang Jianda Han Xiao Liang Tianjin Key Laboratory of Intelligent Robotics Institute of Robotics and Automatic Information System College of Artificial Intelligence Nankai University Tianjin China Ministry of Education Engineering Research Center of Trusted Behavior Intelligence Nankai University Tianjin China

Aerial manipulation is an emerging area of research that is experiencing rapid growth and has immense potential across various domains, including precision agriculture, construction, and search and rescue operations. the combination of quadrotor with manipulation capabilities can provide access to remote or hazardous areas, precise control over tasks, and increased efficiency and safety in operations. However, traditional aerial manipulation platforms equipped with rigid manipulators have such drawbacks greater weight and less safety. Consequently, a novel complaint aerial manipulation system is considered to be developed. In this paper, a novel structure of an aerial manipulation platform with a single-section continuum manipulator is developed. In order to address the center-of-mass displacement resulting from manipulator movements, a sliding mode controller is introduced as a means to ensure the quadrotor's flight remains smooth. Afterward, the Lyapunov theorem is employed to ensure stability of the entire closed-loop system. Subsequently, numerical simulations are carried out to showcase the superior performance of the proposed control scheme in comparison to the PD controller.

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