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检索条件"任意字段=2021 4th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2021"

共 251 条记录，以下是11-20 订阅

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Development of an Intelligent control System for Spacecraft Vacuum thermal Test 4

Development of an Intelligent Control System for Spacecraft ...

引用

2021 4th international conference on advanced algorithms and control engineering, icaace 2021

作者： Zhang, Jun Lu, Tong Ye, Tianyuan Li, Fangyong Zhang, Yusen Liu, Xusheng Beijing Institute of Spacecraft Environment Engineering Beijing China Beijing Key Lab. of Environ. and Reliability Test Technol. for Aerosp. Mech. and Electrical Products Beijing China

this article develops a spacecraft component-level vacuum thermal test intelligent control system, which can control the thermal vacuum chamber to automatically complete the entire test process including establishing a vacuum environment, setting temperature control parameters, switching test conditions, and executing shutdown procedures. It is the first to complete the one-key boot function in similar domestic laboratories. this system combines thermostat, parameter identification and self-tuning control technology to complete the temperature control of the test piece. It solves the technical problems of complex thermal characteristics of test piece, large time delay, and overshoot in temperature control. the system also has the function of automatic conversion of test condition and provides a guarantee for the smooth development of the vacuum thermal test of the spacecraft and its components. © Published under licence by IOP Publishing Ltd.

关键词： Temperature control

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Improved Qsofa Algorithm Based on PPG Wearable Device 4

Improved Qsofa Algorithm Based on PPG Wearable Device

引用

2021 4th international conference on advanced algorithms and control engineering, icaace 2021

作者： Liu, Yepeng Yu, Xiaoxiao Luo, Xin Liu, Ziyu He, Yu College of Information Engineering Wuhan University of Technology Wuhan China College of Engineering and Architecture University College Dublin University College Dublin Belfield Dublin 4 Ireland College of Information Engineering Wuhan University of Technology Wuhan China College of Software Engineering Huazhong University of Science and Technology Wuhan China College of Information Engineering Wuhan University of Technology Wuhan China

this paper designs an improved Qsofa algorithm based on photoplethysmography measurement technology. the algorithm is mainly used to achieve accurate measurement of the subject's heart rate and blood pressure and a more refined Qsofa health score. In terms of health data processing, this paper uses a combination of data threshold and mean stabilization algorithms to significantly improve measurement accuracy. In terms of health analysis, this paper greatly reduces the difficulty of the GCS coma evaluation method in the traditional Qsofa algorithm, and at the same time makes the final score of the evaluation more detailed in the same level, so as to more accurately show the health status of the subjects. © Published under licence by IOP Publishing Ltd.

关键词： Wearable technology

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Grasp control Method for Robotic Manipulator Based on Federated Reinforcement Learning 7

Grasp Control Method for Robotic Manipulator Based on Federa...

引用

7th international conference on advanced algorithms and control engineering, icaace 2024

作者： Wang, Yue Zhong, Shida Yuan, Tao College Of Electronics And Information Engineering Shenzhen University State Key Laboratory Of Radio Frequency Heterogeneous Integration Shenzhen China Shenzhen University Guangdong-Hong Kong Joint Laboratory For Big Data Imaging And Communication Shenzhen China

ISBN: (纸本)9798350361445

With development of mobile edge computing (MEC) and the Artificial Intelligent Internet of things (AIoT), how to use intelligent devices to better apply to industrial scenarios has become a critical factor in promoting industry to reduce costs, increase efficiency, and enable development. In this paper, we analysis the problem of robotic manipulators working in dynamic environments and propose a model based on federated reinforcement learning (FRL) to control robotic manipulator grasping. In the proposed FRL framework, the optimal control policy is learned independently by multiple agents on their respective AIoT devices. Also, we use federated learning to ensure the safety of data and improve the reward function to accelerate the learning of model. We evaluate the performance of the proposed method and compare it with the traditional method based on RL. the experimental results show that proposed algorithm significantly improves the model training convergence speed by about 64% and the task average reward performance index by about 36% compared with baseline. © 2024 IEEE.

关键词： Reinforcement learning

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Model predictive control of microbial fuel cell based on Kalman state estimation 4

Model predictive control of microbial fuel cell based on Kal...

引用

2021 4th international conference on advanced algorithms and control engineering, icaace 2021

作者： Wang, Mimmin An, Aimin Zhao, Yingying College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou Gansu730050 China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou Gansu730050 China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou Gansu730050 China

Aiming at the constraints and undetectable interference in the microbial fuel cell system, a microbial fuel cell model predictive control method based on state estimation is proposed. According to the principles and actual requirements of the microbial fuel cell system, a state space model with input constraints is established. By introducing the model predictive controller, the performance of constrained optimization control is improved. Combined with the Kalman filter estimator, the impact of unmeasured interference on the predictive controller is compensated, and the control accuracy and robustness of the system are improved. the simulation experiment finally indicate that model predictive control based on kalman state estimation makes the output voltage of system reach the desired value, the input flow meets the actual demand and the cost is optimal. In addition, it has a good ability to deal with interference. © Published under licence by IOP Publishing Ltd.

关键词： Microbial fuel cells

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Extreme Learning Machine Based on Calculating the Output Weight of Partial Robust M-regression 4

Extreme Learning Machine Based on Calculating the Output Wei...

引用

2021 4th international conference on advanced algorithms and control engineering, icaace 2021

作者： Yao, Guanghua Wang, Gaitang Hydrology and Water Resources Bureau of Henan Province Henan Province Zhengzhou45003 China Xi'An Institute of Modern Control Technology Xi'an Shaanxi Province710065 China

In order to improve the nonlinear mapping capability and learning performance of extreme learning machine (ELM), a new learning algorithm called extreme learning machine based on calculating the output weight of partial robust M-regression is proposed. this algorithm introduces the partial robust M-regression into the extreme learning machine algorithm. Firstly, the hidden layer output matrix H is calculated by extreme learning machine. Secondly, the matrix H and vector Y are weighted by weighted strategy. then, PRM algorithm is used to establish the regression model between the weighted matrix Hw and vector Yw, and calculate its regression coefficient, namely output weight of the ELM Algorithm. the proposed method predicts the Mackay's robot arm regression and sediment concentration of the Yellow River Basin to verify the effectiveness of the method. the simulation results show that the proposed PRMELM algorithm is superior to the original extreme learning machine algorithm in prediction accuracy and generalization performance. © Published under licence by IOP Publishing Ltd.

关键词： Learning algorithms

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Fault-Tolerant control of Five-Phase Induction Motor Based on Rotor Field Orientation 4

Fault-Tolerant Control of Five-Phase Induction Motor Based o...

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4th international conference on Robotics, control and Automation engineering (RCAE) / 4th international conference on advanced Mechanical and Electrical engineering (AMEE)

作者： Zhang, Chengsheng Shi, Manhong Zhao, Hongtao Air Force Early Warning Acad Wuhan Peoples R China

ISBN: (纸本)9781665427302

Open phase is a typical fault phenomenon of multi-phase motor system driven by converter. the multi-phase motor can continue to operate steadily under open phase fault by fault-tolerant control. In this paper, for five-phase concentrated full-pitch winding induction motor under open phase fault, the decoupling transformation matrix is reestablished, and open phase fault-tolerant control of five-phase concentrated full-pitch winding induction motor based on rotor field orientation is proposed. Finally, the simulation and experimental results for one phase open verify that the electrical torque pulsation under open phase fault can be greatly reduced by fault-tolerant control method proposed in this paper, and the motor can continue to operate steadily.

关键词： five-phase induction motor open phase fault torque pulsation tolerant control rotor field orientation

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Construction of virtual simulation teaching platform for elevator control 4

Construction of virtual simulation teaching platform for ele...

引用

2021 4th international conference on advanced algorithms and control engineering, icaace 2021

作者： Chang, Wanfeng Zhang, Qingyong Xia, Huiwen Yang, Yang School of Automation Wuhan University of Technology Wuhan Hubei430070 China

Aiming at the deficiencies of the PLC teaching and training platforms in various colleges and universities, in order to meet the needs of students to debug PLC programs in various application places, taking elevator control as an example, this paper uses virtual reality technology, visualization technology, and computer programming technology to design a virtual simulation teaching platform based on PLC elevator control. Students can run the virtual simulation platform on the web page, learn the relevant basic knowledge, understand the operating principle of the elevator, and use the ladder diagram language to program in order to achieve the purpose of learning PLC. the results show that students can write and verify PLC programs anytime and anywhere, which greatly reduces the cost of purchasing training equipment and improves learning efficiency. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Design of an Automated Drip Irrigation System in Tarma Valley by controlling Soil Moisture 4

Design of an Automated Drip Irrigation System in Tarma Valle...

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4th international conference on Robotics, control and Automation engineering (RCAE) / 4th international conference on advanced Mechanical and Electrical engineering (AMEE)

作者： Carbajal Veli, Paul Cesar Figueroa Bados, Jhon Stalin Alanya Villanueva, Jason Moises Yalli Villa, Danitza Victoria Coaquira Rojo, Carlos Alberto Univ Continental Fac Mechatron Engn San Carlos Huancayo Peru

ISBN: (纸本)9781665427302

this article explains and describes the advantages and benefits of designing a soil moisture control system for the drip irrigation system in Tarma Valley. the main results indicate that it is possible to control the humidity level of the soil to 100% and to carry out the hydric restriction to 40% during the period of hardening of the soil. By applying an automated irrigation control system in Tarma Valley, water waste is significantly avoided on farmland in this valley. In the same way, with this drip irrigation system you can control the amount of soil moisture in a simple and easy way. With the execution of this project, the drip irrigation system in the Tarma Valley, the growth of the plants will be optimized in accordance with a high-quality control. It is concluded that it is possible to design a soil moisture control system for the drip irrigation system in Tarma Valley.

关键词： humidity control automated system drip irrigation

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Design of Smart Home control System Based on STM32 4

Design of Smart Home Control System Based on STM32

引用

4th international conference on Robotics, control and Automation engineering (RCAE) / 4th international conference on advanced Mechanical and Electrical engineering (AMEE)

作者： Chen, Biao Qin, Shihong Wang, Wan Ge, Yifan Wuhan Inst Technol Sch Elect Informat Wuhan Peoples R China

ISBN: (纸本)9781665427302

In order to improve the intelligent level of home, a smart home control system based on STM32 is designed by combining ZigBee and WiFi communication technology. the system consists of STM32 main controller, ZigBee module, speech recognition module and WiFi module. STM32 main controller uploads the home environment data collected by ZigBee node to OneNET cloud platform for real-time display through WiFi module. Users can realize remote control and voice control of ZigBee node through mobile App and voice recognition module, and realize environmental monitoring, security alarm, home appliance control and other functions. Experiments show that the smart home system has the advantages of simple operation, powerful function, low power consumption and stable communication. It achieves the purpose of remote monitoring and realizes the intelligent control of home appliances.

关键词： smart home control system ZigBee STM32 WiFi speech recognition

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A control concept of SVM for two legs inverters 4

A control concept of SVM for two legs inverters

引用

4th international conference on advanced Electronic Materials, Computers and Software engineering, AEMCSE 2021

作者： Liu, Quan-Zhong Liaoning Shihua University School of Infomation and Control Engineering Fushun China

ISBN: (纸本)9781665415965

In this paper, the SVM is proposed for single- phase sinewave inverters(two legs inverters). the proposed scheme structures 2-DOF vectors space based on four possible switching states and makes harmonic mitigation possible. In the structured vectors space, the reference vector is decoupled on two adjacent space vector directions with appropriate timing in order to provide an average output voltage during each switching period. the simulation study for the proposed approach was carried out and the effectiveness of the controller is verified by simulation results. © 2021 IEEE.

关键词： Vector spaces

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