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5th International Conference on Machine Learning and Computer Application, ICMLCA 2024

作者： Bai, Yiwen Yang, Lu Zhang, Lei Song, Yajing School of Transportation Science and Engineering Beihang University Beijing102206 China School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechanical System Design and Intelligent Control Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Tianjin300384 China Traffic Control Technology Co. Ltd. Beijing China

ISBN: (纸本)9798331530334

With the rapid development of railway traffic system, real-time semantic segmentation plays a crucial role in railway track scene monitoring. However, most of the existing methods use lightweight convolution to reduce the computational complexity, which results in reduced accuracy. To solve this problem, this paper proposes a real-time semantic segmentation network called TICNet, which is specifically used for accurate segmentation of railway track scenes. TICNet uses a novel three-branch structure designed for efficient feature extraction and accurate segmentation. Results on the RailSem19 dataset show that TICNet has a segmentation accuracy of 62.36% mIoU with an inference speed of 81.2 FPS, which is significantly better than many existing methods. © 2024 IEEE.

关键词： Semantic Segmentation

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 IEEE.

关键词： Poles

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Modeling, Simulation, and Parameter Design of Actuation Mechanisms Based on New Magnetic Control Materials 25

Modeling, Simulation, and Parameter Design of Actuation Mech...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Shen, Ruixuan Tian, He Zhao, Guanqiao Zhu, Ziliang Li, Jiangping Liang, Chao Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin China Tianjin Sanyuan Power Equipment Manufacturing Co. Ltd Tianjin China

ISBN: (纸本)9798350366600

With the rapid advancement of technology, the reliability and efficiency of power systems have become increasingly critical. In power systems, pole-mounted circuit breakers play a vital role. This paper presents a design scheme for an actuation mechanism of a pole-mounted circuit breaker based on new magnetic control materials. By analyzing the working principle of this actuation mechanism, a mathematical model was constructed, and a corresponding virtual prototype model was established using multi-body dynamics simulation software ADAMS and the dynamics mathematical model of this type of actuation mechanism. key performance parameters of the circuit breaker were optimized using a quantum genetic algorithm. Simulation experiments verified that the proposed parameter settings achieved a closing time of 7.6 ms, demonstrating significant improvements in circuit breaker performance. The results of this study are of great importance for the optimization design and performance enhancement of circuit breakers in power systems. © 2024 IEEE.

关键词： Software prototyping

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Research on traffic sign detection algorithm in complex weather

Research on traffic sign detection algorithm in complex weat...

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2022 International Workshop on Automation, Control, and Communication engineering, IWACCE 2022

作者： Liu, Rui Xu, Xiaoguang Hao, Xuyao Zhang, Xin Ding, Ruming School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Anhui Polytechnic University Anhui Wuhu241000 China Anhui Zuobiao Intelligent Technology Co. LTD. Anhui Wuhu24100 China

ISBN: (纸本)9781510660915

Under complex weather conditions, the vehicle vision system has low recognition accuracy for traffic signs, and there are problems such as missed detection and false detection. An improved YOLOX-S traffic sign detection model is proposed. Firstly, a detection layer is added to the YOLOX-S network, so that the model can effectively detect the minimum target and improve the prediction ability of the model. Then the attention mechanism module is added to the YOLOX-S feature fusion network to strengthen the feature extraction function of the network. Finally, the data enhancement mechanism is introduced to the model, so that the detection of the model in severe weather such as haze and rain and snow has strong robustness. The detection model was tested on the Chinese Traffic Sign Detection Benchmark dataset (CCTSDB). The results show that the mAP @ 0.5 of the improved algorithm is 2.67 % higher than that of the original YOLOX-S algorithm, and the mAP @ 0.5: 0.95 is 4.58 % higher than that of the original YOLOX-S algorithm. The model meets the requirements of real-time detection. © 2022 SPIE. All rights reserved.

关键词： Traffic signs

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An optimal design and fuzzy control method for a new flapping-wing robot 3

An optimal design and fuzzy control method for a new flappin...

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3rd International Conference on electrical engineering and Control Science, IC2ECS 2023

作者： Zhang, Chunxiao Zhao, Yansen Zhang, Ting Liu, Qi Li, Bin Ma, Yue Suo, Mengze Li, Changrui School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China

ISBN: (纸本)9798350382426

Bionic flapping-wing robot has the advantages of good maneuverability, low noise and strong stealth performance. It is widely used in military intelligence collection, field rescue and investigation. In this paper, an optimal design method of bionic flapping-wing robot non-phase difference driving mechanism is proposed. By setting the constraints of flapping angle amplitude, fuselage height and slider stroke, the scale parameters of the mechanism are optimized by using the minimum transmission angle;on this basis, the effectiveness of fuzzy PD control in improving the tracking accuracy of the drive system is verified by means of ADAMS and MATLAB / Simulink electromechanical coupling simulation. This research has practical value for designing new flapping-wing robot and improving its control quality. © 2023 IEEE.

关键词： flapping-wing robot fuzzy PD control kinematics scale optimization

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Fuzzy PID control of fire water cannon flow based on PLC

Fuzzy PID control of fire water cannon flow based on PLC

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2022 International Workshop on Automation, Control, and Communication engineering, IWACCE 2022

作者： Zhao, Ziyi Xu, Xiaoguang Hao, Xuyao School of Electrical Engineering Anhui Polytechnic University Anhui Wuhu241000 China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Anhui Polytechnic University Anhui Wuhu241000 China Anhui Zuobiao Intelligent Technology Co. Ltd Anhui Wuhu241000 China

ISBN: (纸本)9781510660915

The traditional "smoke detector + sprinkler" can no longer meet the fire safety requirements in large places such as warehouses, shopping malls and airports. intelligent fire water monitor has been increasingly used in public places. The S7-1200 PLC (Programmable Logic Controller) that developed by Siemens is selected as the controller, the fuzzy PID (Proportional Integral Derivative) control is adopted as the control strategy. By establishing the fuzzy controller in the PortalV15 software, the PID control parameters are imported to achieve the control of water cannon flow. The simulation results showed that the flow control system has high precision and fast adjustment speed, which can be applied to current firefighting. © 2022 SPIE. All rights reserved.

关键词： Fires

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Considering Mode Switching Nonlinear Hybrid Acdc Model for Multiple Power Sources

SSRN

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SSRN 2024年

作者： Xu, Jie Wang, Shinong Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui Polytechnic University china China College of Electrical Engineering Anhui Polytechnic University China

Smart grids having access to multiple energy sources is the path for distributed control in future. Herein, aiming at the development of a hybrid model of direct current (DC) and alternating current (AC), a nonlinear hybrid AC/DC model that can be used in smart grids is proposed. Using mathematical models, a wide range of smart grid systems is obtained. First, for the concept and operation mode of a smart grid and a load management topology, the viewpoint that different DC and AC components can coexist in a smart grid is proposed. Second, the balanced relationship between DC and AC components is analyzed, which helps determine the balance characteristics of a smart grid. The hybrid model will then be more versatile than the single model and model the application-oriented object. Finally, by establishing the primary system model of a 35-kV smart grid, two equivalent models having different modes are selected for analysis and verification. Results confirm the correctness and effectiveness of the model. © 2024, The Authors. All rights reserved.

关键词： Smart power grids

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Research on Control Strategy of Manipulator Based on Deep Reinforcement Learning 23

Research on Control Strategy of Manipulator Based on Deep Re...

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3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023

作者： Xu, Nuo Shao, Yanpeng Fan, Xiaoyan National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9798400707605

Abstract: Today, the traditional control algorithm of the manipulator is difficult to meet in the complex and changing working environment, and the development of artificial intelligence has achieved remarkable results in the field of manipulator control. As a branch of artificial intelligence, deep reinforcement learning combines the perception ability of deep learning with the decision-making ability of reinforcement learning, which can greatly improve the work efficiency and adaptability of the manipulator. This paper expounds on the principle of deep reinforcement learning, compares and analyzes the application examples of the single manipulator and multi-manipulator control algorithms based on deep reinforcement learning, and demonstrates the achievements of deep reinforcement learning in the motion control of manipulators. The intelligent control research provides a reference. © 2023 ACM.

关键词： Reinforcement learning

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A Control Method of Robotic Arm Based on Improved Deep Deterministic Policy Gradient 20

A Control Method of Robotic Arm Based on Improved Deep Deter...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Shao, Yanpeng Zhou, Haibo Zhao, Shuaishuai Fan, Xiaoyan Jiang, Jiayi Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin300384 China

ISBN: (纸本)9798350320831

With the continuous development of Machine Learning, Reinforcement Learning has achieved excellent results in many fields. An improved Deep Deterministic Policy Gradient (DDPG) algorithm is proposed in this paper to optimize Reinforcement Learning control performance, because of the issue of sparse rewards during training in continuous action spaces such as robotic arms, leading to slow convergence and low success rates. The algorithm merges the DDPG algorithm with the Hindsight Experience Relay (HER) algorithm, enabling the agent to learn from the failed experience when learning. Moreover, a double experience replay buffer is introduced, comprising a primary buffer and a secondary buffer containing high-reward experiences, which enhances the sampling probability of high-quality samples. At long last, a PyBullet simulation environment was utilized to execute a simulation experiment. The robotic arm using the improved DDPG algorithm achieved a success rate of nearly 100% in about 220 epochs of training, and the algorithm convergence speed was greatly improved. The trained robotic arm can reach any target point in the workspace. The efficacy of the improved DDPG algorithm is demonstrated by the outcomes, providing a valuable reference for further exploration into the intelligent control of robotic arms for object grasping. © 2023 IEEE.

关键词： Robotic arms

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Control Strategy of Permanent Magnet Synchronous Motor and Brushed DC Servo Motor Based on ADRC 20

Control Strategy of Permanent Magnet Synchronous Motor and B...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Liu, Liang Liu, Haikui Nie, Guangyin Gao, Yang Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin300384 China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China

ISBN: (纸本)9798350320831

Adaptive disturbance rejection control (ADRC) is a rapidly evolving and promising control method that has been widely applied in various industrial fields and may yield better results than traditional method. In order to promote the controller performance, ADRC technology was employed to construct a three-loop structure for the controllers of permanent magnet synchronous motor (PMSM) and brushed DC Servo Motor (BDSM). Firstly, the mathematical models of the both kinds of motors were presented and combined with the ADRC, respectively. Secondly, the simulation models based on ADRC were constructed in MATLAB/SIMULINK, respectively. Finally, comparative experiments were carried out by ADRC and Proportional-Integral (PI) methods. The simulation results showed that ADRC outperforms PI control in terms of response speed, overshoot reduction, and anti-interference capability, which verified the proposed method can exhibit superior dynamic properties in the induction motor control. © 2023 IEEE.

关键词： Controllers

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