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An Overcurrent Protection control Strategy of Three-Phase Inverter for Stand-alone Distributed Generation systems

An Overcurrent Protection Control Strategy of Three-Phase In...

引用

2022 international conference on cyber-Physical Social Intelligence, ICCSI 2022

作者： Li, Guanjun Huang, Saijin Yu, Haojie Wang, Xiangyu School of Automation Southeast University Nanjing China Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application China Electric Power Research Institute Company Nanjing China

ISBN: (数字)9781665498357

ISBN: (纸本)9781665498357

This paper investigates the output voltage tracking problem of three-phase inverters for the stand-alone distributed generation systems (DGSs). Overcurrent protection is also taken into consideration. Conventionally, cascade control scheme is utilized to restrict the currents by reference current signals. However, it is hard to realize rapid dynamic response due to the limited bandwidth of the inner current control loops. To solve the above problems, this paper designs a novel current-constraint controller under a noncascade structure. The proposed single-loop control scheme not only ensures the currents within specified ranges but also retains good dynamic performances. Moreover, the proposed controller has a simple structure which overcomes drawbacks of the cascade controller and reduces cost of hardware. Rigorous stability analysis is given under the proposed control scheme. Simulation results are also illustrated to validate the feasibility and effectiveness of the presented controller. © 2022 ieee.

关键词： controllers

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Multiple Jumping and Perching of a Miniature Mobile Robot

Multiple Jumping and Perching of a Miniature Mobile Robot

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2024 ieee international conference on Robotics and Biomimetics, ROBIO 2024

作者： Hu, Longlong Tang, Lingqi Chen, Hao Li, Yao Li, Bing Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Shenzhen518055 China Machine Theory and Intelligent Unmanned Systems of Guangdong Key University Laboratory of Mechanism Shenzhen518055 China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518055 China

ISBN: (纸本)9781665481090

Many insects and miniature robots can traverse through narrow spaces via jumping motion;however, successful jumping and landing remains challenging in small-scale. No jumping robot within 90 g have yet demonstrated multiple jumping and perching successfully. Here, we demonstrate continuous jumping and perching of a miniature robot. The origami-inspired structure was manufactured by smart composite microstructure technology. A novel jumping mechanism was designed to load adjustable jump energy actuated by only one motor. A perching mechanism with two adhesive pads was designed to passively couple with the jumping mechanism, achieving perching on the ground and automatically detaching before the next jump. The jumping mechanism achieved adjustable jumping energy, corresponding to jumping height from 0.7 cm to 36.4 cm. The perching mechanism provided successful landing within a wide range (when velocity angle according to vertical direction =18, the velocity magnitude 3.4m/s, the body angle 30). Unlike typical jumping robots performing uncontrollable landing and free-rolling, our robot kept its body up-righted during the whole movement and avoided free-rolling after landing. The self-contained prototype had 18 g of mass, 6.5 cm of body height, and 36.4 cm of maximum jumping height. Finally, an eccentric motor was integrated to perform multiple omnidirectional jumping and perching movements;this represents significant improvement of motion ability for small-scale mobile robots. © 2024 ieee.

关键词： Landing

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A Review on Routing Protocols in Mobile IoT Networks based on SDN 3

A Review on Routing Protocols in Mobile IoT Networks based o...

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3rd international conference on Applied Artificial Intelligence and Computing, ICAAIC 2024

作者： Panwar, Sheily Verma Boukabous, Hind CUC-Ulster University Department of Computer Science/ Cyber Security Doha Qatar CUC-Ulster University Btec Cybersecurity Doha Qatar

ISBN: (纸本)9798350375190

In mobile Internet of things (IoT) networks, SDN with routing protocols delivers a novel and promising approach to these settings' dynamic and diversified issues. SDN principles and mobile IoT routing protocols may be able to provide a scalable, adaptive, and efficient solution for managing these networks' many devices, applications, and mobility patterns. SDN's centralized control and programmability make routing decisions dynamic, allowing smooth adaption to mobile IoT applications. This adaptability improves network efficiency, latency, and resource use. SDN routing decisions are intelligent and realtime because control and data planes are separated. SDN abstraction facilitates Mobile IoT network infrastructure setup, monitoring, and troubleshooting. This abstraction and SDN's programmability allow network administrators to adapt routing policies and protocols for varied IoT applications, creating a more responsive and customizable network environment. Standardization, security, and scalability remain issues despite these advances. Researchers and practitioners must work together to overcome these challenges and maximize SDN-based routing protocols in emerging Mobile IoT networks. Mobile IoT networks that integrate SDN with routing protocols can meet the needs of a connected and dynamic environment. SDN-based solutions will revolutionize Mobile IoT networking with their efficiency, agility, and intelligence as technology and standards grow. © 2024 ieee.

关键词： Internet of things

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control and Optimization Circuit of Solar Electric Vehicles 1

Control and Optimization Circuit of Solar Electric Vehicles

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1st international conference on intelligent Technologies for Sustainable Electric and Communications systems, iTech SECOM 2023

作者： Amrudha Harshan, P.R. Vigneshwaran, S. Ajithkumar, R. Karunamoorthy, B. Kumaraguru College of Technology Department of Electrical and Electronics Engineering Coimbatore India

ISBN: (纸本)9798350371185

This paper is focused on the control method of a Solar electric vehicle in the future which may become a reality. The proposed control system below is used for the solar electric vehicle, which relies on solar energy for 100% of its energy needs and it uses battery as its secondary source of energy, which is the vice versa of the present electric vehicles, where the solar energy is used as additional source instead of the main source. This specializes on the switching control methods between the Battery and the inverter which gives the supply straight to the load usually the motor load. The energy from the solar panel is directly transferred to the motor instead of coming from the battery. The recommended microcontroller-based system is designed to detect the electricity from the solar panel the car relieson. The energy from the panel is continuously checked using a sensor system and delivers feedback to the controller regarding the status. When the energy from the panel is less or not enough, the switching circuit directly switches to the battery, which is a secondary source of power in the car. As a result, this enables smooth movement of the vehicle without any jerk when there is no electricity. © 2023 ieee.

关键词： Timing circuits

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Robust Semantic Mapping and Localization on a Free-Flying Robot in Microgravity 39

Robust Semantic Mapping and Localization on a Free-Flying Ro...

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ieee international conference on Robotics and automation (ICRA)

作者： Miller, Ian D. Soussan, Ryan Coltin, Brian Smith, Trey Kumar, Vijay Univ Penn GRASP Lab Philadelphia PA 19104 USA NASA Ames Intelligent Robot Grp Moffett Field CA 94035 USA

ISBN: (纸本)9781728196817

We propose a system that uses semantic object detections to localize a microgravity free-flyer. Many applications require absolute localization in a known reference frame, such as the execution of waypoint trajectories defined by human operators. Classical geometric methods build a map of point features, which may not be able to be associated after lighting or environmental changes. By contrast, semantics remain invariant to changes up to the robustness of the detection algorithm and motion of the semantic objects. In this work, we describe our approaches for both offline semantic map generation as well as online localization against a semantic map, intended to run in real-time on the robot. We additionally demonstrate how our semantic localizer outperforms image-feature matching in some cases, and show the robustness of the algorithm to environmental changes. Crucially, we show in our experiments that when semantics are used to supplement point features, localization is always improved. To our knowledge, these experiments demonstrate the first use of learned semantics for localization on a free-flying robot in microgravity.

关键词： Location awareness Heating systems Semantics Lighting Object detection Robustness Real-time systems

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Improved PFC-PID control Based on CFPSO for Heat Exchanger Outlet Temperature System 5

Improved PFC-PID Control Based on CFPSO for Heat Exchanger O...

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5th international conference on intelligent control, Measurement and Signal Processing, ICMSP 2023

作者： Xu, Bing Miao, Wanjun School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai China

ISBN: (纸本)9798350336030

Aiming at the problems of large delay and poor anti-disturbance ability in the outlet temperature control system of the heat exchanger, to optimize the control accuracy of the system and improve the control performance, this paper proposes a control scheme combining predictive functional control (PFC) with proportional-integral-derivative (PID) control. And using the particle swarm optimization algorithm with compression factor (CFPSO) to tune its parameters. Using the incremental PID control algorithm to improve the optimization objective function of the PFC algorithm, a PFC-PID optimization model with a proportional-integral-derivative structure is established. The CFPSO algorithm is applied to the parameter optimization of the improved PFC-PID control system, which overcomes the disadvantage that the traditional PID control parameters are difficult to tune. The control scheme proposed in this paper is compared with conventional PID control and cascade PFC-PID control by simulation. The results show that the scheme has a fast response speed and strong interference suppression ability. It significantly improves the adaptability and stability of the system, and can effectively control the outlet temperature of the heat exchanger. © 2023 ieee.

关键词： Two term control systems

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Prediction model of photovoltaic output power based on VMD-EMD-BiLSTM

Prediction model of photovoltaic output power based on VMD-E...

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Industrial cyber-Physical systems (ICPS)

作者： Shaolong Zheng Danyun Li School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Wuhan China

The accuracy of photovoltaic (PV) power prediction is significantly influenced by the high complexity and volatility of the PV sequence. The existing methods for predicting photoelectric power are difficult to effectively mine and analyze the internal variation law of data. To improve the accuracy of PV power prediction, a new method is proposed that first performs variational mode decomposition (VMD) and empirical mode decomposition (EMD), and then establishes a bi-directional long and short-term memory neural network (BiLSTM) for PV output power prediction. The proposed method extracts the amplitude and frequency characteristics of the PV output power series through VMD. After that, the residual term with strong non-stationarity is generated, which still has more sequence characteristics. The residual term is then decomposed by EMD for the second time to extract more features. Finally, the BiLSTM model is established to conduct bidirectional mining for PV power data and predict PV output power. The actual PV data is used to test the experimental results, which show that the proposed VMD-EMD-BiLSTM prediction model has better prediction performance.

关键词： Photovoltaic systems Empirical mode decomposition Simulation Neural networks Predictive models cyber-physical systems Prediction algorithms

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Analysis of intelligent Force control Methods for Red-Meat Gripping Applications 10

Analysis of Intelligent Force Control Methods for Red-Meat G...

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10th ieee Jubilee international conference on Computational cybernetics and cyber-Medical systems, ICCC 2022

作者： Takács, Kristóf Takács, Bence Tarsoly, Sándor Garamvölgyi, Tivadar Galambos, Péter Rudas, Imre Haidegger, Tamás Óbuda Universtiy Antal Bejczy Center for Intelligent Robotics Budapest Hungary Óbuda University Doctoral School of Applied Informatics and Applied Mathematics Hungary Óbuda University Budapest Hungary

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

Slaughterhouse automation is a challenging but important effort that could potentially improve the efficiency and hygiene of meat-processing while replacing human operators with machines and robots in dangerous and unpleasant jobs. Automated handling of carcasses require high level of intelligence, autonomy and adaptability, thus AI-driven systems, various sensors and intelligent tools are necessary parts of such systems. This paper presents novel force control methods implemented in a smart gripper intended for automated pig cutting. While the gripper is capable of handling high payloads (whole legs and 15-20 kg of intestines), the force control algorithm also allows delicate grasping on soft tissues. The gripping force is estimated separately for the two fingers of the gripper based on novel timing belt strain measurement methods. The elongation of the belts are measured by strain-gauges, and by magnetic encoders measuring the rotations of axes. The force sensors were tested with a tensile testing machine, and the functioning force-controlled gripper was tested with real pig carcasses too. The sensors have also proved useful for giving other feedback during automated pig cutting too, such as warning about inadequate gripper positioning relative to the target, and error signal generation when the target object slipped out of the gripper. © 2022 ieee.

关键词： Grippers

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Analysing the Impact of Robot, Artificial Intelligence, and Service automation Awareness, Technostress and technology Anxiety on Employees's Job Performance in The Foodservice Industry 5

Analysing the Impact of Robot, Artificial Intelligence, and ...

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5th international conference on cybernetics and intelligent systems, ICORIS 2023

作者： Lestari, Nurul Sukma Rosman, Dendy Veithzal, Andria Permata Zainal, Veithzal Rivai Triana, Ika Bina Nusantara University Hotel Management Department Jakarta Indonesia Bhayangkara University Jakarta Indonesia Chair of the Council of Experts at the Small and Medium Business Forum Jakarta Indonesia Bina Nusantara University Management Program Jakarta Indonesia

ISBN: (纸本)9798350369489

The service industry has undergone a significant transformation due to the development and use of technology in daily operations. The use of technology in the food and beverage industry not only adds value but also allows businesses to accommodate the changing demands and tastes of their customers. However, the usage of technologies has negative consequences, such as technostress and anxiety associated with their use. With the growing impact of technology, there has been a surge in studies examining its effects on employee performance. This research aims to investigate the impact of technology, Robot, Artificial Intelligence, and Service automation (RAISA) awareness, technostress, and technology anxiety on employee's job performance. The present study employed a quantitative methodology. Questionnaires are distributed to all study participants as a means of collecting data. The study focuses on fast-food restaurant employees in the Jakarta area. Using the snowball sampling technique, the researchers utilize their personal connections with fast-food restaurant employees and ask them to share the questionnaire with their work colleagues. In total, there were 147 respondents who successfully completed the survey. The findings of the study found that RAISA awareness positively influences technostress, technology anxiety, and the job performance of service employees in a fast-food restaurant. In contrast, the study found that technology anxiety negatively influences the job performance of service employees in a fast-food restaurant. Likewise, it also suggests that technostress negatively influences the job performance of service employees in a fast-food restaurant. The findings of this study are expected to contribute to the literature of adoption of smart technology and its impact on employees' job performance. © 2023 ieee.

关键词： Personnel

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An intelligent Strategy for Wind Turbine Condition Monitoring 9

An Intelligent Strategy for Wind Turbine Condition Monitorin...

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9th ieee international conference on Progress in Informatics and Computing, PIC 2024

作者： Lee, Matthew Andrew Lam, Yat Ping Manchu, Fu Kuo Simani, Silvio University College London Mechanical Eng. Dept. LondonWC1E 6BT United Kingdom Shibaura Technology Institute Tokyo135-8548 Japan Tokyo College Tokyo University Tokyo113-8654 Japan University of Ferrara Department of Engineering FE Ferrara44122 Italy

ISBN: (纸本)9798350363203

Floating offshore wind turbines are preferred for their adaptability to deepwater environments and high power generation efficiency. The control of floating offshore wind turbines presents significant challenges. The incidence of component failures is higher and the production of floating offshore wind turbines presents significant challenges. This study presents a model-free fault-tolerant adaptive control system for blade root moment sensors. We develop an individual pitch controller and fault repair system using model-free adaptive control, circumventing the need for mathematical modelling of floating offshore wind turbines. Fault-tolerant control addresses fault detection and isolation by turning dynamic fault compensation into a real-time control challenge for non-linear systems. Evaluate and replicate the suggested control method using fatigue code, aerodynamics, structures and turbulence. Equalise wheel bearing load, minimise floating platform movement and decrease bearing load in offshore wind turbines. The system demonstrates strong fault tolerance, particularly in scenarios where the blade root moment sensor suffers frequent failures, as its output power remains close to the rated power. © 2024 ieee.

关键词： Offshore wind turbines

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