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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

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A Flight Platform Design that Supports Multiple Batches of Components 3

A Flight Platform Design that Supports Multiple Batches of C...

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3rd international conference on Computer Science, Electronic Information engineering and Intelligent control Technology, CEI 2023

作者： Zhang, Jingze Huai, Nana Xue, Pengchao Zhao, Yan Liu, Yinghui Hu, Hongkai China Aerospace Components Engineering Center Cacec Beijing China Beijing Institute of Control Engineering Bioce Beijing China

ISBN: (纸本)9798350372052

With the rapid development of commercial aerospace, by formulating a selection scheme of components that is suitable for task demand to shorten the development cycle of spacecraft and reduce development costs as an effective way to get market competitiveness in commercial spacecraft. The flight test of components is one of the effective means to verify the aerospace applicability of components. In this paper, a flight test platform scheme that supports the in-orbit testing of multiple batches of components is proposed. The test platform consists of two parts: a support system and a test system. The support system includes a central management control module and a power supply module, and the test system includes an exposure test module and a non-exposure test module. the support system is responsible for providing stable and reliable power supply, telemetry, remote control, data transmission resources for the test system, as well as health detection and management of the test system;The test system is responsible for providing a mechanical interface for on-orbit replacement of the test project to facilitate on-orbit operation. The article introduces the two systems in detail from three parts: overall scheme, electronic design and structural design. This scheme has a high reference value for the design of component flight tests. © 2023 IEEE.

关键词： Structural design

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Distributed drive electric vehicle differential assistance particle swarm optimization PID control 3

Distributed drive electric vehicle differential assistance p...

引用

2023 3rd international conference on Mechanical Automation and Electronic Information engineering, MAEIE 2023

作者： Huang, Zihao Huang, Kaiqi Lan, Haoqiang School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou341000 China

To improve the vehicle's handling stability and enhance the steering assist effect of distributed drive electric vehicles, a differential assist steering control strategy is proposed based on the Particle Swarm Optimization (PSO) algorithm to optimize PID control parameters. A dynamic model of steering torque considering the influence of tire force is established, based on the reference steering torque to calculate the required torque. The PSO algorithm with the Integral of Time-weighted Absolute Error (ITAE) is used to optimize the parameters in the PID steering control, and wheel torque allocation is performed by using the objective function constraint. Simulation results show that the differential assistance can meet the driving requirements of drivers at both high and low speeds, and the proposed control strategy is effective. © Published under licence by IOP Publishing Ltd.

关键词： Three term control systems

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Soft-Switching Bridge-less Ćuk Converter based EV Charger for 2/3-Wheeler 3

Soft-Switching Bridge-less Ćuk Converter based EV Charger f...

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3rd IEEE international conference on Intelligent Technologies, CONIT 2023

作者： Sandeep, Singudasu Anupam Pinkymol, K.P. National Institute of Technology Dept. of Electrical and Electronics Engineering Tiruchirappalli India National Institute of Technology Department of Electrical and Electronics Engineering Tiruchirappalli India

ISBN: (纸本)9798350338607

The functioning of the Diode Bridge Rectifier (DBR) fed charger does not abide by the international regulations such as the IEC 6100-3-2 standard. In this paper different types of topologies for bridgeless Ćuk converter are being analyzed and based on that a finest bridgeless Ćuk converter is proposed for electric vehicle charger. The proposed bridgeless Ćuk converter enhances the overall efficiency by avoiding one switch and two passive elements. To overcome the violation of the recommended guidelines of IEC 6100-3-2 standard for output inductor, the single loop voltage control is replaced with double loop controller having an inner current loop control and outer output voltage control. The proposed converter topology is operated in DCM mode to have natural benefit of zero current switching. Furthermore, to reduce the switching losses of the new topology, soft-switching technique has been *** the other hand, electric vehicle battery charging, is done with the help of flyback DC-DC converter with constant current and constant voltage control regimes. This CC-CV method safeguard the battery from overloading. The whole proposed topology is designed and implemented using MATLAB Simulink. The enhanced charger performance is demonstrated by comparing the proposed charger with the typical diode bridge rectifier fed charger. © 2023 IEEE.

关键词： Topology

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Assessment of Rooftop Photovoltaic Potential in Dormitory Towards a Low-Carbon Campus 3

Assessment of Rooftop Photovoltaic Potential in Dormitory To...

引用

3rd international conference on Electrical engineering and control Science, IC2ECS 2023

作者： Xiao, Weidong Zhang, Ji Liu, Yao Jiang, Chunbing North China Branch of State Grid Corporation of China Eelectric Power Dispatching and Control Center Beijing China Tsinghua University Department of Building Science and Technology Beijing China

ISBN: (纸本)9798350382426

The renewable energy-based power system stands as the most significant contributor to achieving a low-carbon campus. This study collects actual hourly energy consumption data from a dormitory in Beijing, China, to assess the viability of implementing a photovoltaic-battery system within the dormitory. The results reveal that the integration of the PVB design can lead to savings of up to 41.3% in the annualized cost of the power system, while also achieving a substantial self-sufficiency rate of 44.9%. Blindly increasing battery capacity reduces the economic benefits of the system;hence, it's crucial to make a reasonable selection of the energy storage scale. This study is expected to offer valuable insights for the campus carbon neutrality process. © 2023 IEEE.

关键词： Energy storage Low-carbon campus Photovoltaic system Solar energy

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Analysis of the application of AI Intelligent System in Land Use control 24

Analysis of the application of AI Intelligent System in Land...

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3rd international Symposium on robotics, Artificial Intelligence and Information engineering, RAIIE 2024

作者： Yang, Xianhong Wu, Yue Yang, Kun Lei, Jianming The Natural Resources Technology Information Center of Guizhou Province Guiyang550004 China School of Geography and Environment School of Karst Science Guizhou Normal University Guiyang550001 China

ISBN: (纸本)9798400718311

With the acceleration of urbanization and the continuous growth of population, land resources are increasingly tight, and land use control has become an important means to ensure the sustainable development of cities and the rational utilization of land resources. Traditional land use control methods often rely on manual judgment and decision-making, and have problems such as low efficiency and strong subjectivity. The emergence of AI intelligent systems provides a new solution for land use control. AI technology, with its strong data processing capabilities and predictive analysis capabilities, shows great potential in the field of land use control. This paper introduces the technical support system of land use control, analyzes the current situation and necessity of land use control system in China, and then discusses the application of AI intelligent system in land use control. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Artificial intelligence

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Nonlinear Active Disturbance Rejection control for Vehicle Active Suspension System 3

Nonlinear Active Disturbance Rejection Control for Vehicle A...

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3rd international conference on Electronic Information engineering and Computer Science, EIECS 2023

作者： Dai, Xianglian Zhao, Chunzhe Xu, Rong Chongqing Three Gorges University School of Electronics and Information Engineering Wanzhou China Chongqing Three Gorges University Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology Key Lab. of Intelligent Info. Proc. and Contr. of Chongqing Munic. Institutions of Higher Education Wanzhou China

ISBN: (纸本)9798350316674

Nonlinear active disturbance rejection control (ADRC) is designed for the suspension system of the quarter vehicle model with the two-degree freedom. It is compared with other active suspension systems based on PID and linear ADRC scheme. The variance of the errors reveals that the nonlinear ADRC suspension system promotes the vehicle acceleration, the suspension dynamic disturbance, and wheel dynamic load. © 2023 IEEE.

关键词： active disturbance rejection control active suspension system extended state observe tracking differentiator

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Multilevel robust control method of power system nodes with flexible access of smart microgrid 3

Multilevel robust control method of power system nodes with ...

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3rd international conference on Electrical engineering and Mechatronics Technology, ICEEMT 2023

作者： Zhang, Zhiwei Zhao, Haizhou Liu, Changshuan Su, Fengzhu State Grid Hengshui Taocheng District Electric Power Supply Company Hebei Hengshui035000 China State Grid Hengshui Electric Power Supply Company Hebei Hengshui035000 China

ISBN: (纸本)9798350303698

In order to reduce carbon emissions and ensure the operation security and stability of smart micro grid after flexible access to power system, a multi-level robust control method for smart micro grid flexible access to power system nodes is studied. According to the overall architecture of smart micro grid flexible access to power system, the influence of smart micro grid flexible access on the voltage quality and frequency of power system nodes is deeply analyzed. On this basis, distributed robust voltage controller and distributed robust frequency controller are designed to realize multi-level robust control of power system nodes. The experimental results show that this method can control the voltage and frequency of each access node in the qualified range, and the multi-level robust control ability is better;This method has a fast response rate to power system node anomalies caused by smart microgrid flexible access;Connecting smart micro grid to the middle of power system feeder with the capacity of less than 80% can obtain better power system operation performance. © 2023 IEEE.

关键词： Robust control

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Data-Centric Decentralised controller for Effective P-F and Q-V control in AC Microgrids 3

Data-Centric Decentralised Controller for Effective P-F and ...

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3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Mohammad Tayyeb, Sheikh Krishan, Ram National Institute of Technology Department of Electric Engineering Warangal India

ISBN: (纸本)9798350319972

Accurate sharing of active and reactive powers in AC microgrids is one of the challenging problems. Implementation of Artificial Intelligence (AI) techniques seems to be a promising solution to enhance the control and operation of microgrids. This paper presents a novel method of data-centric AI-based decentralized frequency (f) and voltage (V) controller while sharing the proportional active and reactive power among the distributed generation (DG) units in the microgrids. In the proposed decentralized controller a Multi-Output Regressor based AI model is used for faster control action with accuracy. Once the controller model is trained, validated and tested on the microgrid data set for benchmark accuracy, it can be effectively used in real-time operation. The effectiveness of the proposed controller has been demonstrated on a Voltage Source Converter (VSC) based microgrid and compared with the traditional droop controller under various loading conditions. © 2023 IEEE.

关键词： Artificial intelligence

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Performance Evaluation of DC-DC Buck Converter with Voltage control Loop Using Genetic Algorithm with Different Objective Functions 3

Performance Evaluation of DC-DC Buck Converter with Voltage ...

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3rd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic control and Computer engineering, MI-STA 2023

作者： Alfergani, Asma Elkawafi, Salma Nour, Tasneem Mohamed Mohamed Elkezza, Khawla Kahlil, Ashraf University of Benghazi Electrical and Electronics Engineering Department Benghazi Libya Technical University of Denmark Dtu Engineering Technology Denmark

ISBN: (纸本)9798350319897

This paper aims to tune the voltage controller of DC-DC buck converter system using genetic algorithm (GA) with different objective functions. The DC-DC buck converter system is supplied with constant voltage from renewable energy source. The objective functions applied to tune the voltage controller are integral square error (ISE), integral absolute error (IAE), integral time absolute error (ITAE), integral time square error (ITSE) and integral square time error (ISTE). The DC-DC buck converter system is tested through nonlinear model implemented in Matlab/Simulink. The obtained results of the nonlinear model and the results of the mathematical representation (model) of the system are compared. All objective functions give optimum values of controller gains. However, obtained results revealed that ITAE is the best objective function compared with the other objective functions. It provides the best overall results. © 2023 IEEE.

关键词： Genetic algorithms

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Research on Junction Temperature control of LED Lamps for New Energy Vehicles based on Time-Delay PID Algorithm 3

Research on Junction Temperature Control of LED Lamps for Ne...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Zhu, Xianming Zhang, Fan Hunan Automotive Engineering Vocational College 412000 China

ISBN: (纸本)9798350319125

Nowadays, energy consumption is becoming more and more serious, and some energy is a non-renewable resource, resulting in a decrease in energy quantity. Therefore, new energy sources are needed to replace and reduce the use of non-renewable resources. Among them, cars consume too many non-renewable resources, in order to solve this problem, new energy vehicles were born. In new energy vehicles, LED lamp junction temperature control is very important, the lower the junction temperature, the better, can extend the service life, so the junction temperature needs to be controlled. Traditional control methods cannot accurately solve the problem of LED lamp junction temperature control in new energy vehicles. Therefore, a time-delay PID algorithm is proposed to analyze the junction temperature control of LED lamps. First of all, artificial intelligence is used to control the junction temperature of the LED lamp, and the index is divided according to the requirements of the junction temperature control of the LED lamp to reduce the interference factors in the junction temperature control of the LED lamp. Then, artificial intelligence controls the junction temperature of LED lamps of new energy vehicles, forms an LED lamp junction temperature control scheme, and comprehensively analyzes the results of LED lamp junction temperature control. MATLAB simulation shows that under certain evaluation criteria, the accuracy of LED lamp junction temperature control and the reliability of LED lamp junction temperature control of new energy vehicles by the time-delay PID algorithm are better than those of traditional control methods. © 2023 IEEE.

关键词： artificial intelligence Delayed PID algorithm Junction temperature control new energy vehicles

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