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2024 International Conference on electrical engineering and Intelligent Control, EEIC 2024

作者： Liu, Zhenyu School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo454000 China

ISBN: (纸本)9781837242672

The speed current double closed-loop direct current (DC) speed regulation system is a widely used DC speed regulation system, which has the advantages of a wide speed regulation range, good stability, and high precision. Under the condition of meeting the performance requirements of all aspects, the design scheme of current code type 1 and speed code type 2 under the valve-motor (V-M) system is adopted, and the three-phase full-control bridge rectifier circuit is used as a user port function (UPE) to act as the control loop. Under the simulation of MATLAB, the double closed-loop system of current type 1 and speed type 2 obtained by the V-M system meets the requirements, and the results are successfully verified. The potential significance of studying the speed current double closed-loop DC speed regulation system is to achieve compatibility with a wide speed regulation range, high stability, and high precision, which can meet the high requirements of precision manufacturing, aerospace, and other fields. With the development of industrial automation and intelligent manufacturing, the results of this study are expected to have value in more fields such as industrial production, vehicles, and ships. © The Institution of engineering & Technology 2024.

关键词： MATLAB

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TRAJECTORY PLANNING FOR LANE-CHANGING OBSTACLE AVOIDANCE OF INTELLIGENT VEHICLES ON STRUCTURED ROADS

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2025年第19期1卷 172-181页

作者： Li, Ganchuang Chen, Guoqiang Zhang, Boqiang Kang, Jianli School of Mechanical and Power Engineering Henan Polytechnic University Jiaozuo454003 China School of Mechanical and Electrical Engineering Henan University of Technology Zhengzhou450001 China

Trajectory planning is one of the essential functions for intelligent vehicles. This study takes kinetic stability and obstacle avoidance safety as constraints in the lane-change process of intelligent vehicles. Firstly, by comparing the effects of cubic polynomials, fifth-degree polynomials, and seventh-degree polynomials planning curves on lateral displacement, velocity, acceleration and jerk, the quintic polynomial curve with the best overall performance was selected as the trajectory curve for obstacle avoidance. The Sigmoid function is applied to enhance the smoothness of the original trajectory, reducing the "steepness" in regions of rapid change and making the obstacle trajectory smoother. Next, a two-degree-of-freedom vehicle dynamics model was established, and kinetic constraints were applied to the trajectory based on lateral acceleration and yaw rate thresholds in the lane-changing scenario. Then, in the obstacle avoidance scenario, safety interactions between the agent vehicle and surrounding vehicles were taken into account, and constraining lane changing trajectories for fifth-degree polynomial planning with safe obstacle avoidance conditions. Finally, through simulations on a structured road and interaction scenarios, a safe and feasible lane-changing trajectory that satisfies both kinetic stability and obstacle avoidance safety conditions was obtained. Under appropriate conditions, simulation results indicate that the obstacle-avoidance lane-change model provides a reasonable lane-change trajectory for intelligent vehicles. © 2025 The Author(s). Published by Cefin Publishing House – Bucharest.

关键词： Trajectories

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Optimization and Characterisation of Flat-wire Permanent Magnet Motors for Electric Vehicles

Optimization and Characterisation of Flat-wire Permanent Mag...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Lv, Jinling Feng, Haichao Zhang, Hengming Xu, Xiaozhuo Hua, Wei Henan Polytechnic University School Of Electrical Engineering And Automation Jiaozuo China Southeast University School Of Electrical Engineering Nanjing China

ISBN: (纸本)9798331529277

Permanent magnet synchronous motors (PMSMs) are favoured in the field of electric vehicles because of their advantages such as high power density and high efficiency. In this paper, a flat wire winding is applied to a PMSM, and a flat-wire PMSM is designed to improve the slot fullness and heat dissipation performance, and further enhance the motor performance. According to the design index of the motor, the motor structure and preliminary electromagnetic parameters are determined. A finite element model of the motor is established to analyse the influence of the stator and rotor structural parameters on the torque and torque ripple of the motor, and the rotor auxiliary slot is used to reduce the torque ripple. The electromagnetic characteristics of the motor are studied and analysed, and the efficiency Map is drawn to obtain the highest efficiency of 96.55%, and the percentage of the efficient operation area with an efficiency greater than 85% is 91.5%. The results show that the motor meets the design indexes and the needs of electric vehicle drive motors, and provides a basis for the design of this type of motor. © 2024 IEEE.

关键词： Permanent magnets

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Optimization and Characterization of High-efficiency Induction Motors With Flat Wires

Optimization and Characterization of High-efficiency Inducti...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Zhang, Hengming Feng, Haichao Lv, Jinling Xu, Xiaozhuo Hua, Wei Henan Polytechnic University School Of Electrical Engineering And Automation Jiaozuo China Southeast University School Of Electrical Engineering Nanjing China

ISBN: (纸本)9798331529277

Aiming at the demand of high efficiency and low cost of the drive source motor in the field of new energy vehicles, a flat-wire induction motor is designed as the drive source motor in this paper. The design aims to improve the characteristics of the induction motor such as slot fullness, efficiency, power density and starting performance. The motor is electromagnetically designed and characterized by the design specifications of the motor under different working conditions. In order to improve the starting performance of the motor, the symmetric convex slot structure is optimized to maximize the skin effect to improve the starting performance of the motor. Simulation results show that the optimized flat-wire induction motor meets the overall performance specifications under different operating conditions and can be better used as a drive source for electric vehicles. © 2024 IEEE.

关键词： Wire flattening

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Super-Twisting Terminal Sliding Mode Decoupling Current Control for Sinusoidal Doubly Salient Electromagnetic Machine Drives

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IEEE Transactions on Energy Conversion 2025年第1期40卷 106-122页

作者： Yu, Xiaodong Zhou, Bo Fang, Wenjing Jiang, Siyuan Zhou, Xingwei Xiong, Lei Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing210016 China Henan Polytechnic University College of Electrical Engineering and Automation Jiaozuo454000 China Hohai University College of Energy and Electrical Engineering Nanjing211100 China

The current control is essential to achieve the high performance of the sinusoidal doubly salient electromagnetic machine (SDSEM). However, the current loop suffers from both the coupling effect and system uncertainty disturbances, which deteriorates its control performance. To address this problem, this paper proposes a super-twisting terminal sliding mode decoupling current control (STTSMD) method, which consists of a current decoupling controller and a super-twisting terminal sliding mode controller. The former can completely decouple the d- and q-axis currents on the premise of ignoring the system uncertainty disturbances, having the advantages of simple structure and easy implementation;the latter can effectively eliminate the adverse influence of the system uncertainty disturbances, having the advantages of fast convergence and chattering suppression. The proposed STTSMD method can improve the dynamic and steady-state response as well as the robustness of SDSEM current control. Finally, the effectiveness of the proposed method is verified by simulation and experiment. © 1986-2012 IEEE.

关键词： Couplings

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Data-driven iterative learning trajectory tracking control for wheeled mobile robot under constraint of velocity saturation

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IET Cyber-Systems and Robotics 2023年第2期5卷 37-47页

作者： Xiaodong Bu Xisheng Dai Rui Hou The School of Automation Guangxi University of Science and TechnologyLiuzhouChina The Department of Automation College of Mechatronics Engineering and AutomationShanghai UniversityShanghaiChina The School of Electrical Engineering&Automation Henan Polytechnic UniversityJiaozuoChina

Considering the wheeled mobile robot(WMR)tracking problem with velocity saturation,we developed a data‐driven iterative learning double loop control method with ***,the authors designed an outer loop controller to provide virtual velocity for the inner loop according to the position and pose tracking error of the WMR kinematic ***,the authors employed dynamic linearisation to transform the dynamic model into an online data‐driven model along the iterative *** on the measured input and output data of the dynamic model,the authors identified the parameters of the inner loop *** authors considered the velocity saturation constraints;we adjusted the output velocity of the WMR online,providing effective solutions to the problem of velocity saltation and the saturation constraint in the tracking ***,the inner loop controller only uses the output data and input of the dynamic model,which not only enables the reliable control of WMR trajectory tracking,but also avoids the influence of inaccurate model identification processes on the tracking *** authors analysed the algorithm's convergence in theory,and the results show that the tracking errors of position,angle and velocity can converge to zero in the iterative ***,the authors used a simulation to demonstrate the effectiveness of the algorithm.

关键词： data-driven control dynamic model iterative learning control trajectory tracking velocity saturation wheeled mobile robot

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Design and Optimization of Permanent Magnet Linear Synchronous Motor for Direct Drive Multi-car Elevator Variable Rail System

Design and Optimization of Permanent Magnet Linear Synchrono...

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2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023

作者： Yang, Dongqing Feng, Haichao Zhang, Wei Zhang, Hengming Xu, Xiaozhuo Henan Polytechnic University School of Electrical Engineering and Automation Jiaozuo China

ISBN: (纸本)9798350314274

In order to meet the needs of multi-car operation of long-stroke ropeless elevator, this paper uses 22-pole 24-slot permanent magnet linear synchronous motor (PMLSM ) as the driving source to determine the multi-car rail change scheme of elevator and the motor parameters that meet the operation requirements. The boot-type end teeth are added on both sides of the motor to improve the end effect of the motor and improve the operating stability to meet the requirements of the smooth operation of the motor. In order to maximize the effect of suppressing the end effect of the boot-shaped end teeth, the multi-objective optimization method of response surface method (RSM) combined with particle swarm optimization (PSM) is used to optimize the boot-shaped end teeth with thrust, thrust fluctuation and magnetic resistance as the optimization objectives. The electromagnetic characteristics of the motor are analyzed by finite element comparison, and the optimization results are verified by prototype experiments. The results show that the electromagnetic performance index of the optimized PMLSM is improved, and it can be better applied to the direct drive rail changing occasions. © 2023 IEEE.

关键词： Multiobjective optimization

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Virtual Reality Based Simulation of Key Technology of Coal Mine Power Supply Teaching Experiment 4

Virtual Reality Based Simulation of Key Technology of Coal M...

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4th International Conference on Computers, Information Processing and Advanced Education, CIPAE 2023

作者： Gong, Zhipeng Wang, Dahu Han, Guochen Fan, Zhenzhen Henan Polytechnic University School of Electrical Engineering and Automation Jiaozuo China

ISBN: (纸本)9798350342710

Coal mine power supply technology is the core course of electrical engineering in mining colleges and universities. Due to the complexity and particularity of power supply environment, it is hard to put into practice in teaching. So that to boost students' experimental level and engineering design ability, a virtual simulation system of coal mine power supply is built on account of virtual reality technology. The system introduces Quadric Error Metrics algorithm for model simplification, and an improved folding cost is adopted to keep the details of the model. The system simulates the key technology of coal mine power supply teaching experiment, and realizes the functions of theory learning, scene roaming, equipment maintenance, knowledge examination and so on. The experiment can motivate students' hobby in studing, enrich the teaching experiment course, and has practical application value. © 2023 IEEE.

关键词： Virtual reality

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Designing and optimising seat’s new suspension using TPS-NSS to enhance driver’s comfort

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International Journal of Vehicle Systems Modelling and Testing 2024年第2期18卷 97-119页

作者： Zhang, Li Nguyen, Vanliem Zan, Hui School of Mechanical and Electrical Engineering Jiaozuo University Henan Jiaozuo454000 China School of Mechanical and Electrical Engineering Hubei Polytechnic University Huangshi435003 China

Based on the isolation efficiency of negative-stiffness-structures (NSS) in vertical direction and three parallel suspensions (TPS) in the pitch and roll directions, a seat’s new suspension combined with TPS and NSS (TPS-NSS) has been proposed for enhancing ride quality in three directions of driver. In order to further enhance TPS-NSS performance, genetic algorithm is also applied for optimising its design parameters. Root mean square (RMS) acceleration of driver’s seat in vertical, pitch, and roll directions is used to assess the TPS-NSS’s isolation efficiency. The results indicate that all RMS seat accelerations with TPS-NSS are strongly improved by 29.08%, 85.75%, and 91.25% compared to the NSS. Therefore, based on the TPS-NSS’s good isolation and simple structure, this new isolation model should be equipped in the seat suspension for enhancing driver’s ride quality in vehicles. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Automobile suspensions

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An Improved YOLOv5 Model for Steel Surface Defect Detection by Integrating Multi-Dimensional Atrous Convolution

An Improved YOLOv5 Model for Steel Surface Defect Detection ...

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2024 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2024

作者： Huang, Jianhang Jia, Lijie Zhou, Yitian Wang, Shuo Zhang, Xinliang Xu, Xiaozhuo School of Electrical Engineering and Automation Henan Polytechnic University Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment Jiaozuo China Zhoushan Yangwangnaxin Technology Co. Zhoushan China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9798331504755

In deep network-based steel surface defect detection models, using only serial convolution operations can hinder the detection of small defects due to insufficient multi-scale detail information. To address this issue, a detection model based on joint multi-dimensional atrous convolution (JMDC) is proposed. By introducing atrous convolution with various kernel sizes into the feature extraction layer, a multi-channel parallel convolution chain is constructed to capture multi-scale defect features, enhancing the detail perception. Subsequently, a JMDC operator, generated from the residual network, fuses these features and establishes a channel constraint to improve the training stability and global feature extraction. Then by integrating the JMDC into the multi-level feature extraction layers, the improved YOLOv5 realizes the detection enhancement for the multi-scale defects. Correspondingly, the k-means algorithm is adopted to generate adaptive multi-scale anchor boxes with the reduction of the positional deviation. Experimental results show that the proposed approach has provided a detection accuracy of 81.7% on the NEU-DET dataset, yielding a significant improvement on the defect detection, especially for small targets. © 2024 IEEE.

关键词： K-means clustering

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