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检索条件"任意字段=2023 6th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2023"

共 292 条记录，以下是1-10 订阅

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2023 6th international conference on advanced algorithms and control engineering

2023 6th International Conference on Advanced Algorithms and...

引用

2023 6th international conference on advanced algorithms and control engineering, icaace 2023

the proceedings contain 42 papers. the topics discussed include: a fast reconstruction algorithm for stereolithography file topology based on hash tables;software defined network-based multi service routing algorithm for spatial information network;multi-source distributed radar-infrared track association method based on spatial geometry;identifying parameters of reactor operation digital twin by using swarm and evolutionary algorithms;a sound similarity algorithm based on human intuition;ultra-short-term photovoltaic power prediction based on multi-head ProbSparse self-attention and long short-term memory;a health status assessment method of switchgear in substation based on digital twin technology and random matrix model;UAV image target recognition algorithm based on machine learning;intelligent understanding algorithm of aerial visual inspection image based on deep learning technology;and unmanned aerial vehicle passive positioning technology based on cross-location and target splitting.

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Multi-agent Reinforcement Learning for Cooperative On-Ramp Merging of Connected Automated Vehicles 9th

Multi-agent Reinforcement Learning for Cooperative On-Ramp M...

引用

9th international conference on Intelligent IoT as a Service

作者： Zhao, Boyuan Cui, Jianxun Harbin Inst Technol Sch Transportat Sci & Engn Harbin 150000 Peoples R China HIT Chongqing Res Inst 618 Liangjiang Ave Chongqing Peoples R China

ISBN: (纸本)9783031705069;9783031705076

Ramp merging areas on highways often serve as bottleneck areas, leading to frequent interactions and accidents between vehicles on the ramp and the arterial road. this results in severe congestion and reduced traffic performance. the emergence of Connected Autonomous Vehicles (CAVs) offers advanced solutions to address these issues and improve traffic operations at ramp merging areas. While previous studies have explored CAV decision-making approaches such as optimization control, model predictive control, and reinforcement learning, they face difficulties in accurately modeling the complex and dynamic scenarios of ramp merging. To overcome these challenges, this paper proposes a collaborative decision-making and control model based on Multi-agent Reinforcement Learning (MARL) for mixed vehicles (CAV-HDV) in multi-lane ramp merging scenarios on arterial roads. the paper introduces three novel MARL algorithms and conducts simulations in six different scenarios to evaluate traffic performance under various lane numbers and traffic densities. the results demonstrate the effectiveness of the proposed collaborative model for ramp merging vehicles. the proposed algorithms significantly reduce collision rates and improve traffic efficiency.

关键词： Highway Ramp Merging Multi Agent Reinforcement Learning Connected Automatic Vehicle Decision-making and control

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Computer Vision Based Quality control for Molding Injection Machines 19th

Computer Vision Based Quality Control for Molding Injection...

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19th international conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2024

作者： Moreno, Ramón García, Oscar Del Río Cristobal, Miguel Shankar Muthuselvam, Revanth María Sanjuan, José Vallejo, Andrés Wang, Ting Department of Advanced Manufacturing 4.0 Antolin Engineering Burgos Spain Instituto Tecnológico Catilla y Leon Burgos Spain College of Electrical Engineering and Control Science Nanjing Tech University and Southeast University Nanjing China

ISBN: (纸本)9783031750090

this paper presents a comprehensive study on the application of computer vision, specifically Convolutional Neural Networks (CNNs), for quality control in automotive interior manufacturing using Injection Molding Machines (IMMs). Despite the high precision and productivity of IMMs, a small percentage of defects persist. Addressing this, the paper compares four popular CNN algorithms—ResNet-50, SegNet, FCN, and PSPNet—on their ability to detect and analyze defects in post-manufacturing. the study outlines the advantages of IMMs, the challenges in defect management, and the potential of CNNs to revolutionize quality control processes. Experimental results demonstrate the efficacy of these algorithms, paving the way for enhanced quality management and reduced defect rates in the automotive sector. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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PID control for Radial Active Magnetic Bearings 6th

PID Control for Radial Active Magnetic Bearings

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6th international conference on Mechanical engineering, ICOME 2023

作者： Ruviana, Rizqa Pramono, Agus Sigit Mechanical Engineering Department Sepuluh Nopember Institute of Technology Jawa Timur Kota Surabaya60111 Indonesia

ISBN: (纸本)9789819778973

the development of Active Magnetic Bearing (AMB) technology for gas turbines has made significant strides. Initiatives like the Versatile Affordable advanced Turbine Engines (VAATE) program, in collaboration with DARPA and NASA, aim to enhance gas turbine engineering for efficiency, cleanliness, intelligence, versatility, and durability. AMBs have emerged as superior to rolling element and foil bearings due to their temperature, speed, shaft thickness limitations, and shorter lifespan under heavy loads. AMBs are more suitable for large machines operating under high loads and relatively lower speeds than foil bearings. the research introduces a two-degrees-of-freedom model for AMB systems. the modelling involves two identical electromagnets and simplified equations. the model also considers external forces, including sinusoidal forces from motor vibrations, centrifugal forces from shaft unbalanced assumptions and static forces. the system output is represented by eccentricity. the AMB design adheres to SKF standards for conventional bearings. the rotor model is simulated using MATLAB SIMULINKTM, and the Automatic PID Tuner App is used to find control values based on the created transfer function. System stability is analyzed using the Nyquist stability criteria, focusing on the input rotation speed range of 100 RPM–459 k RPM. Higher motor rotation rates contribute favorably to the rotor's ability to remain centred within the stator. Higher motor rotation rates contribute favorably to the rotor's ability to remain centred within the stator. Specifically, the PID controller exhibits excellent resistance to various external forces. Static tests assessed the system's ability to bear loads, where forces ranging from 100 to 400 N were applied to the rotor. However, adding a 400N load to the rotor has exceeded the value of 1,5×10-3 m as the maximum eccentricity threshold. As a result, the maximum load that can be applied to this design is 388 N, with the resulting eccentric

关键词： Gas turbines

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Segment-powered control System of Linear Motor Based on Long-Mover Segmented Mode and Hybrid Switching 6

Segment-powered Control System of Linear Motor Based on Long...

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2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Chen, Hao 713th Research Institute - 9th Laboratory China State Shipbuilding Corporation Limited Zhengzhou450000 China

this paper proposes a segment-powered control system of a linear motor. It is based on long-mover segmented mode and hybrid switching for the segment-powered control requirements of a high-thrust permanent magnet linear synchronous motor. Firstly, the segment-powered principle of the long-mover segmented mode is analyzed. then the design of the hybrid switching control system is completed. Finally, the experimental verification proves that the control system has good control stability and control accuracy, which can meet the segment-powered control requirements of a high-thrust linear motor. © Published under licence by IOP Publishing Ltd.

关键词： Linear motors

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Vehicle Obstacle Avoidance Path Tracking control Based on Constraint MPC 6

Vehicle Obstacle Avoidance Path Tracking Control Based on Co...

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2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Miao, Baorui Han, Chao Yang, Jikun School of Electrical Engineering Anhui Polytechnic University China

In the process of obstacle avoidance, there are some problems such as low precision and poor safety in the path tracking of intelligent vehicles. To solve these problems, a model prediction controller with soft constraints is designed in this paper. the controller adopts the vehicle motion model, according to the radius of the circumcircle of the obstacle and the vehicle, and the anti-collision constraint condition is constructed to improve vehicle safety. the vehicle tracks its path using a model predictive control (MPC) algorithm. Sideslip angle and acceleration control variables were introduced as soft constraints to improve vehicle path tracking accuracy. the simulation was carried out by CarSim and MATLAB/Simulink platforms. the results show that the constrained MPC control algorithm is advanced in the accuracy and stability of trajectory tracking control under high-speed obstacle avoidance. © Published under licence by IOP Publishing Ltd.

关键词： Model predictive control

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Adaptive Robust Active Vibration control for Vehicle Seat Suspension with Unknown Passenger Mass 6

Adaptive Robust Active Vibration Control for Vehicle Seat Su...

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2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Liu, Tianqi Ding, Haichun Guo, Shuo Li, Feng Iqbal, Azhar Wu, Zhizheng Department of Precision Mechanical Engineering Shanghai University Shanghai China Dunlap Institute for Astronomy and Astrophysics University of Toronto Canada

the vibration of the car seat can affect the comfort of passengers and can even cause some health hazards to them. In this paper, a vehicle seat control system is built to reduce the hazards of vehicle seat vibration. Firstly, the dynamic of the vehicle seat suspension is modelled. then, an adaptive robust vibration control method is introduced: a base controller with an enhanced Youla parameterization is designed to turn it into a global stable controller set, followed by online tuning of the Q-parameters using an adaptive algorithm. the results of the vehicle seat vibration control were simulated in MATLAB/Simulink. © Published under licence by IOP Publishing Ltd.

关键词： controllers

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Train operation scheduling optimization based on deep reinforcement learning 6

Train operation scheduling optimization based on deep reinfo...

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2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Yang, Xue Wang, Huan Li, Lijuan College of Electrical Engineering and Control Science Nanjing Tech University Jiangsu Nanjing211816 China

the impact of time delays caused by unexpected events on trains spreads along the complex and widely distributed area of the high-speed railway network. Large train arrivals and departures are delayed. Serious social impact and huge loss of economic benefits are incurred. To solve the problems, the dynamic scheduling model of a high-speed train is established with the objective of minimizing the total delay time and energy consumption of the train. the DDPG algorithm is used to solve the model. the effectiveness of the algorithm for the dynamic scheduling of the high-speed train is verified through experiments, which provides a good basis for high-speed train dispatchers to make optimization decisions. © Published under licence by IOP Publishing Ltd.

关键词： Reinforcement learning

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Design of Airborne Radar Servo control System 6

Design of Airborne Radar Servo Control System

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2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Wang, Hong Nanjing Research Institute of Electronics Technology Nanjing China

the brushless DC motor is driven by a square wave. Compared with the sinusoidal synchronous motor, the control is simple. the airborne radar servo control system described in this paper uses a brushless DC motor drive, PWM control, and angular position. the speed detection feedback loop is composed of a brushless resolver and a resolver for digital converters. the control system adopts the current, speed, and position closed-loop design. the design simulation is carried out by using MATLAB/Simulink to guide the control system design. the system design uses PID incremental control and an integral separation control algorithm. through the rational design of software and hardware, the airborne radar servo system has achieved high dynamic and static performance, which meets the performance requirements of the airborne radar system. © Published under licence by IOP Publishing Ltd.

关键词： Brushless DC motors

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Design of distributed drive electric vehicle control architecture based on module division 6

Design of distributed drive electric vehicle control archite...

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2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Liu, Ning Wang, Bin Wang, Yi Li, Zhengbo Ou, Yang China Automotive Engineering Research Institute Co. Ltd China

At present, with the deepening of vehicle intelligence and electrification, the logic chaos of the whole vehicle control architecture leads to complex procedures, which cannot adapt to the large-scale, team, and parallel development work, and is not conducive to the later maintenance, upgrading, and platform of the controller. this paper analyzes the types and functions of the vehicle electrical appliances, compiles the vehicle electrical control circuit and CAN (controller Area Network, CAN) communication network, decouples the control program design from the hardware input signal by reasonably dividing the signal processing flow of the control program, and then divides the vehicle control program into modules to meet the platform-based requirements of the control strategy. © Published under licence by IOP Publishing Ltd.

关键词： control system synthesis

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