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IEEE International Conference on Mechatronics and Automation

作者： Peizhi Cong Yanjuan Wu Caiwei Wang Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Binshui Xidao 391 Tianjin China

In order to reduce the impact of electric vehicle(EV) charging load on the power grid, a real-time optimal scheduling scheme for charging and discharging Evs is proposed. Firstly, the objective is to reduce charging costs and network loss costs, aiming to minimize the total cost of EVs at the current time. An EV dispatching model is established, the grid node acceptance capacity performance is analyzed by constructing a network loss sensitivity index, and the EV charging and discharging strategy is obtained in real time based on the time-of-use tariff of the grid load by means of a tide calculation and a sliding window variable speed optimization algorithm as well as a second-order convex optimization calculation method. Finally, the proposed strategy is verified to be effective in reducing the charging cost and network loss cost, and has good real-time flexible dispatching performance, using an improved IEEE 39-node distribution network as an example.

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Based on Hybrid Densenet-121 with Support Vector Machine Algorithm for Lettuce and Chili

Based on Hybrid Densenet-121 with Support Vector Machine Alg...

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IEEE International Conference on Mechatronics and Automation

作者： Yuzhe He Yanjuan Wu Caiwei Wang Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Binshui Xidao 391 Tianjin China

In this paper, to improve the recognition accuracy of Densenet-121, we combine Densenet-121 with SVM to generate a new network Densenet-121-SVM. In this paper, the two datasets are combined to generate a new dataset named Mixed-dataset, which has four plants, namely: Lettuce, Chili, Chinee apple, and Lantana, and this dataset is used to train the network. Finally, the recognition accuracies of SVM, Densenet121 and Densenet-121-SVM are 84.144%, 96.211% and 98.181%, respectively, and it can be seen that the accuracy of Densenet-121-SVM is improved by 14% and 1.97% compared to SVM and Densenet-121, respectively.

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A Review of UAV Power Line Inspection

A Review of UAV Power Line Inspection

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Wang, Zhaoyang Gao, Qiang Xu, Jianbin Li, Dahua School of Electrical & Electronic Engineering and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Sanyuan Electric Equipment Manufacturing Co. Ltd Tianjin300409 China

ISBN: (纸本)9789811581540

In recent years, unmanned aerial vehicles (UAVs) have begun to enter human life as a new type of tool, they have played a large role in various industries, and the power industry is no exception. The normal operation of the power system requires prudential inspection. Traditional methods such as manual inspection have nonnegligible disadvantages, so more and more power companies have begun to use UAVs instead of manual inspection. In this paper we analyzed the development history and advantages of UAV power line inspection, and showed the composition and classification of UAV power line inspection system, as well as the current circumstances. Next, according to the type of UAV, the task of power line inspection is described. Then, based on the requirements of the power line inspection task, the inspection methods and key technologies of the UAV are described. Finally, challenges such as safety, endurance time, and automation that have emerged during the development of UAV power inspections are proposed. We analyze the prospects of UAV power inspection technology from how some companies are responding to these challenges. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inspection

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Uncertainty Treatment of Integrated Energy System Based on Scenario Reduction Method

Uncertainty Treatment of Integrated Energy System Based on S...

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IEEE International Conference on Mechatronics and Automation

作者： Caiwei Wang Yanjuan Wu Peizhi Cong Yuzhe He Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Binshui Xidao 391 Tianjin China

In the context of high permeability of renewable energy, a large number of uncertain energy sources, such as scenery, have brought a huge impact on the security and stability of the comprehensive energy system. In order to reduce the impact of renewable energy on the new power system and improve the system stability, In this paper, a comprehensive energy system of the park is set up, which consists of three kinds of energy loads including source side electricity, heat, gas and scenery, and electric heat. On this basis, Monte Carlo method is adopted to simulate multiple sets of scenes respectively for the scenery output. On this basis, scene reduction method is adopted to reduce them to obtain the final equivalent force diagram, so as to reduce the influence of the uncertainty of scenery on the system stability. Finally, the effectiveness of the proposed method is verified by simulation analysis.

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GIB-RRT: a gamma interpolation bidirectional RRT algorithm

GIB-RRT: a gamma interpolation bidirectional RRT algorithm

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Chinese control and Decision Conference, CCDC

作者： Jianyun Ni Hao Li Tie Wang Helei Du Jie Wu Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin China School of Electronic Engineering and Automation Tianjin University of Technology Tianjin China Tianjin Climate Center Tianjin China

In a complex environment, when B-RRT and RRT* algorithms are used for path planning, there will be problems such as long planned paths, large number of iterations, low sampling efficiency and long search time. To solve these problems, this paper proposes a gamma interpolation bidirectional RRT algorithm––GIB-RRT. First, the algorithm uses a bidirectional search strategy to expand two random trees simultaneously to speed up the convergence speed. In the expansion process, an adaptive goal biasing strategy is introduced to improve the sampling efficiency, and the probability of expansion to the respective target point is continuously changed according to the number of collision detection failures. After the initial path is obtained, a greedy pruning algorithm is used to simplify the path points and reduce the path cost. An optimisation method of Gamma interpolation is then devised for the simplified path and combined with cubic uniform B-spline curve to generate shorter and smoothly executable path. The proposed algorithm is compared with B-RRT*, IB-RRT* and B-RRT in different complex environments in simulation experiment, and the results show that the proposed algorithm has better search efficiency and is able to obtain optimal path in the least time and with the most stable efficiency.

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Research on Measuring Method of Self-Mixing Interference Magnetic Field Based on Faraday Effect

SSRN

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SSRN 2024年

作者： Zhao, Yan Sun, Wenqiang Wang, Haipeng Ma, Shihui School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin300384 China Institute of Functional Crystals and Tianjin Key Laboratory of Functional Crystal Materials Tianjin University of Technology Tianjin300384 China

In this paper, the magnetic field measurement method of laser self-mixing interference based on the Faraday effect is proposed. The polarization plane of the linearly polarized light is changed by the terbium gallium garnet crystal with the influence of the magnetic field. The light modulated by the magnetic field reentered into the laser cavity through the Brewster window and formed the self-mixing effect. The theoretical analysis of the self-mixing interference model based on the Faraday effect is conducted, which explains essential features of the experimental results. The magnetic field is measured by the peak-to-peak value of self-mixing interference signal. The experimental results show that the relative error of the magnetic field measurement is within ±1.6%. The measurement method has the advantage of simple and compact structure with strong anti-interference ability. © 2024, The Authors. All rights reserved.

关键词： Faraday effect

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Cooperative Game Optimization Scheduling of Multi-Region Integrated Energy System Based on Admm Algorithm

SSRN

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SSRN 2023年

作者： Wu, Yanjuan Wang, Caiwei Wang, Yunliang The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin Key Laboratory for Control Theory And Applications in Complicated Industry Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin300382 China

In order to further optimize the energy utilization rate and operation cost of the integrated energy system, and consider the randomness of the renewable energy output to improve the flexibility of the system operation, a cooperative game based IES optimization operation model was proposed. Firstly, the IES framework is constructed, and the models are modeled for the equipment such as power to gas, carbon capture, gas unit, electricity and gas storage. Secondly, the collab.rative cooperation between IES in multiple regions is considered to build a cooperative alliance, and the principle of energy complementarity to improve the overall income is expounded. Finally, the IES cooperative optimal scheduling model based on cooperative game is established. The asymmetric Nash bargaining method is used to allocate cooperative earnings according to contribution. The ADMM algorithm is used to solve the bargaining model. Further simulation analysis verifies that the proposed strategy can effectively reduce the operating cost of each cooperative entity and the total operating cost of the cooperative alliance, promote the multi-regional IES cooperation in the alliance, and effectively improve the energy consumption rate in the system, which can provide a theoretical reference for the economic dispatching of the power system. © 2023, The Authors. All rights reserved.

关键词： Operating costs

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Simulation of Triboelectric Nanogenerator Output Characteristics of Different Resistance Loads

Simulation of Triboelectric Nanogenerator Output Characteris...

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System Simulation Technology and its Application (CCSSTA), IEEE China Conference on

作者： Liang Xu Xiuzhe Zhang Xiuke Du Xiaolong Yue Xiande Zhao Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology Tianjin China Key Laboratory of Agricultural Sensors Ministry of Agriculture and Rural Affairs Research Center of Intelligent Equipment Beijing Academy of Agriculture and Forestry Sciences Beijing China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

With the increasing demand for green energy, triboelectric nanogenerators (TENG) have the potential to harvest energy from the environment in a small size range to power microelectronic devices. Still, its performance is affected by impedance matching problems. In this study, the effect of impedance matching on the performance of the TENG was investigated. The generator output power is simulated by Simulink software, and the theoretical usability of TENG was demonstrated by driving the load. Firstly, a mathematical model of the TENG was developed to consider its operating principle, and the transferred charge and voltage-current output under different impedance conditions were simulated. Then, the effect of impedance matching on the output of the TENG on its generator was analyzed by adjusting the impedance of the TENG with the external circuit. The results show that by adjusting the impedance value, the generator can be made to work in a more efficient operating region, which helps to promote the development of TENG technology.

关键词： Resistance Performance evaluation Impedance matching Nanogenerators Voltage Generators Mathematical models Impedance Triboelectricity Power generation

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Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method

Path Planning of Mobile Robot Based on Improved Artificial P...

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Chinese control and Decision Conference, CCDC

作者： Jianyun Ni Helei Du Tie Wang Hao Li Chenyang Xue Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin China School of Electronic Engineering and Automation Tianjin University of Technology Tianjin China Tianjin Climate Center Tianjin China Tianjin University of Technology Tianjin China

An improved artificial potential field method is proposed to address the problems of target unreachability and falling into local minima in the path planning process of the traditional artificial potential field method. Firstly, the distance factor between the robot and the target point is introduced to solve the target unreachability problem; secondly, the robot is guided out of the local minima point by setting the virtual target point through the double-circle strategy; finally, in order to satisfy the continuity of robot velocity and acceleration, the resulting path is smoothed by using three uniform B-sample curves. The experimental results show that the improved algorithm can effectively solve the problems of target unreachability and falling into local minima in the traditional algorithm, and the smoothness of the path after the spline treatment is better compared with the original path.

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Grade quantification of Parkinson's disease based on principal component analysis

Grade quantification of Parkinson's disease based on princip...

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2021 China Automation Congress, CAC 2021

作者： Zhou, Long Tong, Jigang Dong, Enzeng Zhu, Lin Zhang, Jiachen Tianjin Key Laboratory For Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin300384 China China North Industries Group 210 Reseasrch Institute Beijing China

ISBN: (纸本)9781665426473

Parkinson's disease is a common neurodegenerative disease, which seriously affects the life of patients. Whether there is an objective and reliable method to classify and identify the disease grade is of great significance in the clinical diagnosis of Parkinson's disease. In this paper, principal component analysis was used to comprehensively evaluate the degree of Parkinson's disease of 28 randomly selected subjects, establish a comprehensive scoring model of Parkinson's disease degree, and fit it according to HY grade, so as to realize the quantification of Parkinson's disease grade. Based on the data of vertical ground reaction force, 12 gait features with strong correlation are calculated as the main features to establish the scoring model. The validity of the model is verified by predicting the HY grade of another 12 subjects in the randomly selected data set. The results show that the prediction accuracy is 83.3%, which can effectively predict the Parkinson's disease level of subjects. © 2021 IEEE

关键词： Principal component analysis

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