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Research on Super-Twisting Sliding Mode control Based on Disturbance Observer 6

Research on Super-Twisting Sliding Mode Control Based on Dis...

引用

6th international conference on Computer Network, Electronic and automation, ICCNEA 2023

作者： Lei, Jue Wang, Chunyang Yu, Jinyang Xi'an Technological University School of Electronic Information Engineering Xi'an China Xi'an Technological University College of Ordnance Science and Technology Xi'an China Changchun University of Science and Technology School of Electronic Information Engineering Xi'an China

ISBN: (纸本)9798350305388

In this paper, a Super-Twisting sliding mode control strategy on account of a nonlinear disturbance observer is proposed to solve the problem of disturbance suppression in the beam scanning process of MEMS micromirrors, in response to the degradation of the scanning precision of MEMS micromirrors due to external perturbation in the beam scanning process. the working mechanism of MEMS micromirror beam scanning is analyzed, the system model of MEMS micromirror is constructed, and the NDOB-Super-Twisting controller is designed. the step response test, robustness test, and perturbation suppression analysis simulation are carried out. the results show that NDOB-Super-Twisting controller has a 56.25% improvement in regulation time, no overshooting, and about 60% improvement in steady state error compared to the PID controller. © 2023 IEEE.

关键词： Sliding mode control

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Calibration Method of Industrial Robot Kinematic Parameters Based on Improved SSA Algorithm 6

Calibration Method of Industrial Robot Kinematic Parameters ...

引用

6th international conference on Software engineering and Computer science, CSECS 2023

作者： Xu, Jialu Liu, Xiaonan Li, Pengchao Wang, Jintao Guo, Haibing School of Information Science and Engineering Shenyang University of Technology Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China Tianjin SIASUN Robot & Automation Co. LTD. Tianjin China

ISBN: (纸本)9798350306378

the requirements of high-end manufacturing cannot be fulfilled by industrial robot absolute positioning accuracy. A study of algorithms for improving absolute positioning accuracy in industrial robots. An improved sparrow search algorithm (ISSA) incorporating a chaotic mapping initialization population, a butterfly global search strategy, a triangle wandering strategy, and a t-distribution perturbation is proposed to identify the kinematic parameters of industrial robots. First, a robot kinematics model is established based on modified Denavit-Hartenberg (MD-H) parameters. Secondly, verify the effectiveness of the ISSA algorithm. Finally, the kinematic parameters of four T6A-19 industrial robots were determined and adjusted for validation using the ISSA algorithm. the results of the experiment demonstrate an 85.39% improvement in the accuracy of the mean absolute positional error and an 83.36% improvement in the root mean square accuracy. these results support the effectiveness and practicality of the method used. © 2023 IEEE.

关键词： Industrial robots

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Event-Triggered Active Disturbance Rejection control for Interconnected Power Systems Subject to Hybrid Cyber Attacks 6

Event-Triggered Active Disturbance Rejection Control for Int...

引用

6th IEEE international electrical and Energy conference, CIEEC 2023

作者： Zhang, Zhiwei Xiang, Leijun Zhu, Shanying Yang, Sheng College of Information Science and Engineering Huaqiao University Xiamen China Shanghai Jiao Tong University Department of Automation Shanghai China

ISBN: (纸本)9798350346671

In recent years, as renewable energy sources are connected to the grid, the power system continues to expand, making the communication network of power system suffer from communication channel congestion, cyber attacks. In this paper, the proposed event-triggered active disturbance rejection controller (ET-ADRC) is simulated, verified and quantitatively analyzed for two different scenarios of denial-of-service (DOS) attacks, false data injection (FDI) attacks in a multi-area load frequency control (LFC) power system in a three-area power system. the simulation results show that the event-triggered active disturbance control has smaller overshoot, shorter dynamic regulation time, fewer event triggers, and stronger anti-disturbance performance in the three-area load frequency control system than the event-triggered PI (ET-PI), so the ET-ADRC exhibits more bandwidth saving and anti-cyber attack capability in the multi-area load frequency control than the ET-PI. It demostrates the superior performance of load frequency control in multi-area power systems. © 2023 IEEE.

关键词： Electric power system interconnection

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Research on the identification method of heavy haul railway rail surface injury study based on the fusion of vibration and profile data 6

Research on the identification method of heavy haul railway ...

引用

6th international conference on Information science, electrical, and automation engineering, ISEAE 2024

作者： Meng, Xiangrui Sun, Yongkui Luo, Chenshuo Yang, Fengbin An, Yuntong School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9781510682924

Due to the heavy haul rail's large single train capacity and strong impact on the track, the rails of heavy haul rail are prone to injuries, and the accurate detection and identification of injuries is the basis of intelligent operation and maintenance of the rails of heavy haul rail. However, the existing rail surface injury recognition methods mainly based on machine vision have the disadvantages of strong noise and limited field of view. therefore, this paper proposes a detection method based on the fusion of profile data and vibration signals. the profile data has high accuracy, but it has the disadvantages of low detection rate and low accuracy of a single profile. the vibration signal is easy to measure, but it is easy to be interfered, and the vibration signals of some injuries will reflect the same characteristics. the respective defects are overcome by fusion of the two. the experimental results show that the detection accuracy is effectively improved after the fusion of the two. the vibration signals are extracted and dimensionality reduced using stacked self-coding network, and then input into the classifier to obtain the classification results based on the vibration data. At the same time, the profile data and standard rails are matched, and then the wear sequence is generated by the DTW algorithm, and then the features are extracted by the PCA algorithm and classified to obtain the results based on the profile data. Finally, the two methods are fused at the decision level to obtain a new rail surface injury recognition and detection method based on the fusion of the two. © 2024 SPIE.

关键词： Data fusion

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An improved grey wolf optimization algorithm for parameter tuning of active disturbance rejection control 6

An improved grey wolf optimization algorithm for parameter t...

引用

6th international conference on Intelligent Autonomous Systems, ICoIAS 2023

作者： Wang, Hongyu Pan, Tianhong Fan, Yuan School of Electrical Engineering and Automation' Anhui University Hefei China

ISBN: (纸本)9798350371253

the performance of active disturbance rejection control (ADRC) is determined by its suitable parameters. It is difficult to obtain a satisfactory solution using conventional empirical tuning methods. An improved grey wolf optimization algorithm (IGWO) is proposed to tune the ADRC's parameters in this work. In particular, the chaotic mapping and nonlinear convergence factor improvement strategies are presented to overcome the tendency of GWO to fall into the local optimum problem when initializing populations. A second-order system is selected to verify the effectiveness of the proposed scheme. the results demonstrated that the proposed method can be used for parameter tuning of ADRC. © 2023 IEEE.

关键词： Parameter estimation

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Energy-Efficient Train control Incorporating Realistic Traction Characteristics Using Convex Optimization 1

引用

6th international conference on electrical engineering and Information Technologies for Rail Transportation (EITRT)

作者： Peng, Yang Chen, Fuwang Lu, Shaofeng South China Univ Technol Shien Ming Wu Sch Intelligent Engn Guangzhou 511442 Peoples R China

ISBN: (数字)9789819993079

ISBN: (纸本)9789819993093;9789819993079;9789819993062

the study proposes an energy-efficient train control (EETC) model that utilizes the convex optimization (CO) method to incorporate more practical and complex traction system characteristics. these characteristics, referred to as RMeB-RP, include regenerative and mechanical braking at low speeds and reduced power at relatively high speeds. In many previous studies on the EETC problems, the traction system characteristics often incorporated the simplified pure regenerative braking and constant power characteristics during high speeds, known as RB-CP, to reduce the complexity of the model. We applied convexification and linearization to model such nonlinear characteristics during traction and braking operation over various speeds and applied convex optimization to achieve the optimal solution efficiently. Our simulation results showed that the train with RMeB-RP has a higher total energy consumption, cruising speeds, and speeds at the beginning of the braking stage than the train with RB-CP. Furthermore, the train with RB-CP in the EETC model often leads to underestimating energy consumption since the partial loss of traction and regenerative braking effort. As for the real-world scenario in this model incorporating RB-CP, energy consumption was underestimated by 17% compared to incorporating RMeB-RP, with a difference of 0.9136 kWh/km in energy consumption per kilometer. In addition, applying CO to quickly address the EETC problems incorporating the complex traction system characteristics has shown to be effective in the real case, in which the total computational time of interstation operation by using the CO model is only within the range of [0.52, 1.2] seconds.

关键词： Energy-efficient Train control Reduced Power Characteristics Regenerative and Mechanical Braking Characteristics Convex Optimization Urban Rail Transit

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Facial Detection Algorithm based on Improved YOLOv5s 6

Facial Detection Algorithm based on Improved YOLOv5s

引用

6th IEEE Advanced Information Management, Communicates, Electronic and automation control conference, IMCEC 2024

作者： Meng, Lin Yuan, Wenbo Li, Meng Zhang, Bingjie Zhang, Lingmin University of Jinan School of Electrical Engineering Shandong China Shandong Jinruan Science and Technology Co .Ltd. Shandong China

ISBN: (纸本)9798350316520

To address the challenges of low detection accuracy and the ease of misdetection and omissions due to small face targets or masked faces in complex environments, this paper proposes a face detection algorithm based on an improved YOLOv5s. Initially, the EIoU bounding box loss function is introduced to enhance the regression speed and localization accuracy of the target bounding box. Next, the CBAM attention mechanism module is incorporated to augment the YOLOv5s network's capability in extracting image features without substantially increasing the model's parameters. Finally, the post-processing NMS algorithm is enhanced to optimize the redundant bounding box rejection method and filter out high-quality detection results. Experiments on face detection are carried out using the YOLO-Mask dataset, resulting in an enhanced Precision by 2.2%, mAP@0.5 by 2.6%, and mAP@0.5:0.95 by 4.2%. the experiments demonstrate that the improved face detection algorithm notably enhances the detection of small and occluded targets, validating the effectiveness of this improved method in addressing the issues of low detection accuracy for small and occluded targets, as well as misdetection and missed detections. © 2024 IEEE.

关键词： Face recognition

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Two New-type control Strategies for Six-Phase Open Winding PMSM 6

Two New-type Control Strategies for Six-Phase Open Winding P...

引用

6th IEEE international electrical and Energy conference, CIEEC 2023

作者： Li, Jianjun Si, Binqiang Zhu, Jihong Zhao, Wenxiang School of Instrument Science and Opto-Electronics Engineering Beijing Information Science & Technology University Beijing China Tsinghua University Department of Precision Instrument Beijing China School of Electrical and Information Engineering Jiangsu University Zhenjiang China

ISBN: (纸本)9798350346671

this paper proposes two new-type control strategies, namely quasi-two-vector control and quasi-four-vector control, for six-phase open-winding permanent magnet synchronous motor drive system. Compared with the traditional SVPWM method, it not only improves the calculation of sector judgment, but also removes the calculation of action time. therefore, the calculation is simple and fast, the program running time is reduced by about 10%, the system efficiency is increased by 2%, and the switching action of power tube in a control cycle is reduced by 30%, so its switching loss is also reduced by 30%. In addition, the total harmonic distortion is only 15%. At last, the correctness and effectiveness of the quasi-two-vector control and the quasi-four-vector control are verified on the test bench. © 2023 IEEE.

关键词： Vectors

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Operation State Monitoring of Wastewater Treatment Process Based on LSTM Network of Fusion Attention Mechanism 6

Operation State Monitoring of Wastewater Treatment Process B...

引用

6th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2024

作者： Xing, Yonghao Du, Shuxin Qiu, Yi Xu, Hongyi Guo, Xiaorui School of Engineering Huzhou University Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems Huzhou China

ISBN: (纸本)9798350374315

In this paper, an LSTM neural network model based on fusion attention mechanism is proposed to classify the operational state of wastewater treatment process. the model combines the attention mechanism to effectively capture the changes and effects of key parameters in the wastewater treatment process. through deep learning method, the model is built in Python language, and the actual test data is used for verification and comparative analysis, which verifies the accuracy and effectiveness of the model. the experimental results show that the model has significant advantages in improving the prediction classification accuracy and monitoring the running state of the sewage treatment process, and provides an effective method for the intelligent monitoring and management of the sewage treatment process. © 2024 IEEE.

关键词： Long short-term memory

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Techno-economic Analysis of Hybrid Renewable Energy Storage Optimal Sizing in Urban Energy System 6

Techno-economic Analysis of Hybrid Renewable Energy Storage ...

引用

6th international conference on electrical, control and Instrumentation engineering, ICECIE 2024

作者： Sarfraz, Muhammad Tao, Xu Zafar, Ahsan Ansari, Mahrukh Ahmed, Awais School of Electrical and Information Engineering Tianjin University Tianjin China Control and Automation Engineering Tianjin University Tianjin China

ISBN: (纸本)9798350380040

Advances in renewable energy systems have inevitably created opportunities like realizing self-sufficient and carbon emission-free energy systems and challenges such as optimal scheduling and sizing of single or multiple energy storages in energy systems. this study discusses the technical and economic objective functions for optimum sizing of renewable energy storage in the urban energy system i.e. grid and solar photovoltaic as the main power generation sources. It is perceived that leveraging energy storage according to the capability of each storage technology is the intelligent approach, as each storage technology comes up with some merits and demerits such as battery storage has a rapid response i.e. less than one second and higher round trip efficiency i.e. greater than 90% but it has a self-discharge rate of around 1% and capacity loss of 20%. As far as hydrogen storage is concerned it has a higher energy density but cycle efficiency of hydrogen storage is merely 50%. So, using these renewable storage technologies individually does not result in an efficient, economical, and reliable system. thus, this paper analyzes the different combinations of these storage technologies into hybrid optimization by implementing, volatile grid electricity rates, limiting battery operation, precise battery and hydrogen usage, and limiting grid operation to achieve lowest energy cost, capacity shortage, and net present cost objective functions. © 2024 IEEE.

关键词： Clean energy

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