Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856391
Ao Li, Shuxiang Guo, Liwei Shi, Meng Liu, Mugen Zhou, He Yin
During the underwater movement of underwater robot, a large part of interference comes from the interaction between robot and water flow. In order to control the underwater robot accurately, it is very important to study the hydrodynamic characteristics of the robot. In this paper, the hydrodynamic characteristics about two kinds of underwater robots (spherical and fish-shaped robot) are studied according the application. Firstly, the hydrodynamic characteristics of the two shapes are studied by the qualitative analysis of velocity field and pressure field. Then, by changing the speed and volume of the robot, the drag resistance force of the robot is further quantitatively analyzed. These obtained characteristics can be used to guide the application of flow rate sensing and pressure sensing on underwater robots.
{"title":"Comparison of Spherical and Fish-shaped Robots on Hydrodynamic and Pressure Characteristics in Static Water","authors":"Ao Li, Shuxiang Guo, Liwei Shi, Meng Liu, Mugen Zhou, He Yin","doi":"10.1109/ICMA54519.2022.9856391","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856391","url":null,"abstract":"During the underwater movement of underwater robot, a large part of interference comes from the interaction between robot and water flow. In order to control the underwater robot accurately, it is very important to study the hydrodynamic characteristics of the robot. In this paper, the hydrodynamic characteristics about two kinds of underwater robots (spherical and fish-shaped robot) are studied according the application. Firstly, the hydrodynamic characteristics of the two shapes are studied by the qualitative analysis of velocity field and pressure field. Then, by changing the speed and volume of the robot, the drag resistance force of the robot is further quantitatively analyzed. These obtained characteristics can be used to guide the application of flow rate sensing and pressure sensing on underwater robots.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114845096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856152
Yuezong Wang, Lina Qiu, Haoran Jia
In order to measure the height of local areas on the surface of microstructures, an efficient computational method based on image sequence sharpness retrieval is proposed. First, a small depth-of-field visual system of a few microns is formed using a zoom microscope lens and a high magnification objective lens, which is moved equidistantly along the longitudinal direction to acquire image sequences of the local surface of the silicon sphere. Then, each image sequence is preprocessed to remove some of the blurred interfering images. Finally, the sharpness of the image sequence is calculated. In the first step, the sharpness of the image sequence is calculated by various methods; in the second step, the sharpness data are analyzed and counted to find the location of the sharpest image, and the height of the location is acquired by a Z-axis translation stage with a longitudinal grating ruler to obtain the height of the local area on the surface of the microstructure corresponding to the sharpest image. The experimental results show that the accurate sharpest image in the image sequence can be obtained by using the method in this paper, and the retrieval accuracy reaches 99.40%, which is obviously better than the existing sharpness methods.
{"title":"Estimation of Local Height of Microstructure Based on Depth from Focus Method","authors":"Yuezong Wang, Lina Qiu, Haoran Jia","doi":"10.1109/ICMA54519.2022.9856152","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856152","url":null,"abstract":"In order to measure the height of local areas on the surface of microstructures, an efficient computational method based on image sequence sharpness retrieval is proposed. First, a small depth-of-field visual system of a few microns is formed using a zoom microscope lens and a high magnification objective lens, which is moved equidistantly along the longitudinal direction to acquire image sequences of the local surface of the silicon sphere. Then, each image sequence is preprocessed to remove some of the blurred interfering images. Finally, the sharpness of the image sequence is calculated. In the first step, the sharpness of the image sequence is calculated by various methods; in the second step, the sharpness data are analyzed and counted to find the location of the sharpest image, and the height of the location is acquired by a Z-axis translation stage with a longitudinal grating ruler to obtain the height of the local area on the surface of the microstructure corresponding to the sharpest image. The experimental results show that the accurate sharpest image in the image sequence can be obtained by using the method in this paper, and the retrieval accuracy reaches 99.40%, which is obviously better than the existing sharpness methods.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117158393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856249
Qiang Wang, Enzeng Dong, Shengzhi Du, Jigang Tong, Hui Yu, F. Duan
The parameters of stator winding of brushless DC motor will change under the influence of temperature. The model of brushless DC motor with temperature-affected winding is established, and the influence of steady-state temperature on the motor system under different heat dissipation conditions is investigated, and its dynamic characteristics are also explored. The stability of brushless DC motor is observed by using basin stability. For some parameters, the system can exhibit point attractors, the mega-stability of multiple nested periodic rings and chaos phenomena. By means of mathematical statistics and function fitting, the transient chaotic phenomena of the system under some parameters are examined.
{"title":"Mega-Stability and Transient Chaos Analysis of Brushless DC Motor with Winding Heat Loss","authors":"Qiang Wang, Enzeng Dong, Shengzhi Du, Jigang Tong, Hui Yu, F. Duan","doi":"10.1109/ICMA54519.2022.9856249","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856249","url":null,"abstract":"The parameters of stator winding of brushless DC motor will change under the influence of temperature. The model of brushless DC motor with temperature-affected winding is established, and the influence of steady-state temperature on the motor system under different heat dissipation conditions is investigated, and its dynamic characteristics are also explored. The stability of brushless DC motor is observed by using basin stability. For some parameters, the system can exhibit point attractors, the mega-stability of multiple nested periodic rings and chaos phenomena. By means of mathematical statistics and function fitting, the transient chaotic phenomena of the system under some parameters are examined.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123515398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856338
Xinyue Cui, Yuqiang Sun, Yao-bin Tian, Kun Xu, Shuwen Kou
Recently, morphology methods were used to improve locomotion capability of a mobile robot by deforming the body into multiple topological structures for various locomotion modes. Rolling mode will provide a fast moving process for flat ground, while the legged mode is more suitable for rough terrain. In this work, a new reconfigurable robot with rolling and legged locomotion modes is proposed based on parallel mechanism method. Four reconfigurable limbs and two platforms are assembled into a parallel manipulator. Based on the reconfigurable properties of such parallel mechanism, the motion branches were planned to switch the robot into different topologies to generate rolling and legged locomotion. In addition, a motion planning method is presented to perform fast and stable rolling locomotion for this reconfigurable robot. A simulation is carried out and verified the design concept.
{"title":"Mechanical design and rolling locomotion analyses of a novel reconfigurable mobile robot constructed by a parallel mechanism","authors":"Xinyue Cui, Yuqiang Sun, Yao-bin Tian, Kun Xu, Shuwen Kou","doi":"10.1109/ICMA54519.2022.9856338","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856338","url":null,"abstract":"Recently, morphology methods were used to improve locomotion capability of a mobile robot by deforming the body into multiple topological structures for various locomotion modes. Rolling mode will provide a fast moving process for flat ground, while the legged mode is more suitable for rough terrain. In this work, a new reconfigurable robot with rolling and legged locomotion modes is proposed based on parallel mechanism method. Four reconfigurable limbs and two platforms are assembled into a parallel manipulator. Based on the reconfigurable properties of such parallel mechanism, the motion branches were planned to switch the robot into different topologies to generate rolling and legged locomotion. In addition, a motion planning method is presented to perform fast and stable rolling locomotion for this reconfigurable robot. A simulation is carried out and verified the design concept.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122860268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856366
Juan Li, Wenbo Li
When multiple AUVs perform formation tasks underwater, there is a delay in the follower receiving the leader’s information, so that the follower cannot accurately follow the leader. In response to this problem, this paper designs a short-term trajectory prediction scheme of CNN-LSTM. First, the data is processed, and then the CNN-LSTM neural network trajectory prediction model is constructed by mining the time series relationship in the historical data of the leader. Finally, the accuracy and robustness of the prediction of the CNN-LSTM model are verified by comparing with the prediction results of other models.
{"title":"AUV 3D Trajectory Prediction Based on CNN-LSTM","authors":"Juan Li, Wenbo Li","doi":"10.1109/ICMA54519.2022.9856366","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856366","url":null,"abstract":"When multiple AUVs perform formation tasks underwater, there is a delay in the follower receiving the leader’s information, so that the follower cannot accurately follow the leader. In response to this problem, this paper designs a short-term trajectory prediction scheme of CNN-LSTM. First, the data is processed, and then the CNN-LSTM neural network trajectory prediction model is constructed by mining the time series relationship in the historical data of the leader. Finally, the accuracy and robustness of the prediction of the CNN-LSTM model are verified by comparing with the prediction results of other models.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122917132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856323
Zhigang Zuo, Weiyou Zhao, Xiaoxue Ma, Zhihui Shang, Min Feng, Tao Su, Helu Zhang
Environmental security issues are increasingly becoming the focus of attention of the international community. In port cities, the exhaust gas from the generation systems of ships is an important source of pollution. The shore power systems can effectively reduce the air pollution problems. The complex costs and benefits of the shore power make it difficult to obtain optimal decisions. We calculate the net benefit of the shore power retrofit by proposing the benefit evaluation model. Furthermore, we propose the shore power based firefly optimization algorithm (SPBFOA) to search for optimal decisions. Specifically, algorithm prematurity is avoided by designing the hybrid encoding method, the protection of optimal decisions, and the auto-generation function. Finally, a decision search experiment based on EASIUR and APEEP is conducted, and the experimental results are discussed.
{"title":"A Novel Benefit Evaluation Model for Shore Power with Firefly Optimization Algorithm","authors":"Zhigang Zuo, Weiyou Zhao, Xiaoxue Ma, Zhihui Shang, Min Feng, Tao Su, Helu Zhang","doi":"10.1109/ICMA54519.2022.9856323","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856323","url":null,"abstract":"Environmental security issues are increasingly becoming the focus of attention of the international community. In port cities, the exhaust gas from the generation systems of ships is an important source of pollution. The shore power systems can effectively reduce the air pollution problems. The complex costs and benefits of the shore power make it difficult to obtain optimal decisions. We calculate the net benefit of the shore power retrofit by proposing the benefit evaluation model. Furthermore, we propose the shore power based firefly optimization algorithm (SPBFOA) to search for optimal decisions. Specifically, algorithm prematurity is avoided by designing the hybrid encoding method, the protection of optimal decisions, and the auto-generation function. Finally, a decision search experiment based on EASIUR and APEEP is conducted, and the experimental results are discussed.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125207613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856108
Chengyu Hu, Zaimin Zhong, Junxing Li
Planar inductive position sensor based on PCB has the advantage of low cost and reducing the error caused by winding manufacturing. For inductive sensor with resonant structure, the undesired eddy current caused by conductive shell influences the amplitude and carrier phase of output signals when the sensor is integrated in the motor. This change affects signal demodulation feasibility of the sensor and reduces the signal-to-noise ratio. For this problem, the influence of ferromagnetic materials and eddy current is here discussed. A modified coupling model of multiple coils considering eddy current is proposed to describe a system with modulation characteristics, and the corresponding equivalent circuit equations are established. A prototype is manufactured to verify the performance of the proposed design, and the ferrite is used to suppresses the coupling between the sensor and metallic environment. According to the experimental results, the sensor signal demodulation is achieved properly, and the linear angle estimation realized at a uniform speed.
{"title":"Study on the Effect of Eddy Current for Inductive Angle Sensor with Resonant Structure","authors":"Chengyu Hu, Zaimin Zhong, Junxing Li","doi":"10.1109/ICMA54519.2022.9856108","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856108","url":null,"abstract":"Planar inductive position sensor based on PCB has the advantage of low cost and reducing the error caused by winding manufacturing. For inductive sensor with resonant structure, the undesired eddy current caused by conductive shell influences the amplitude and carrier phase of output signals when the sensor is integrated in the motor. This change affects signal demodulation feasibility of the sensor and reduces the signal-to-noise ratio. For this problem, the influence of ferromagnetic materials and eddy current is here discussed. A modified coupling model of multiple coils considering eddy current is proposed to describe a system with modulation characteristics, and the corresponding equivalent circuit equations are established. A prototype is manufactured to verify the performance of the proposed design, and the ferrite is used to suppresses the coupling between the sensor and metallic environment. According to the experimental results, the sensor signal demodulation is achieved properly, and the linear angle estimation realized at a uniform speed.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125312627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9856156
Ran Wang, Jian Guo, Shuxiang Guo, Qiang Fu, Jigang Xu
With the development of robot technology, the research of multi-robot cooperative target search in the military field mainly focuses on avoiding obstacles while surrounding the target, but most of the object-oriented research is a single robot and a single obstacle. In view of the object - oriented simplicity, this paper uses robot cluster to avoid multiple obstacles. Artificial potential field algorithm is widely used in the field of robot obstacle avoidance because of its simple structure, small amount of computation and good real-time performance. But in actual use in the artificial potential field algorithm has certain defects, mainly includes the target unreachable problem and local minimum value problems, by improving the traditional artificial potential field algorithm, this study so as to improve the artificial potential field algorithm when use the deficiencies, in order to improve the artificial potential field algorithm when the mobile robot to round up the target of obstacle avoidance. Finally, the simulation results show that the improved artificial potential field method can solve the problems of local minimum and unreachable target, and has good dynamic obstacle avoidance ability. This method ensures the reliability of spherical robot group and improves the efficiency of multi-robot group.
{"title":"Cooperative Hunting of Spherical Multi-robots based on Improved Artificial Potential Field Method","authors":"Ran Wang, Jian Guo, Shuxiang Guo, Qiang Fu, Jigang Xu","doi":"10.1109/ICMA54519.2022.9856156","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856156","url":null,"abstract":"With the development of robot technology, the research of multi-robot cooperative target search in the military field mainly focuses on avoiding obstacles while surrounding the target, but most of the object-oriented research is a single robot and a single obstacle. In view of the object - oriented simplicity, this paper uses robot cluster to avoid multiple obstacles. Artificial potential field algorithm is widely used in the field of robot obstacle avoidance because of its simple structure, small amount of computation and good real-time performance. But in actual use in the artificial potential field algorithm has certain defects, mainly includes the target unreachable problem and local minimum value problems, by improving the traditional artificial potential field algorithm, this study so as to improve the artificial potential field algorithm when use the deficiencies, in order to improve the artificial potential field algorithm when the mobile robot to round up the target of obstacle avoidance. Finally, the simulation results show that the improved artificial potential field method can solve the problems of local minimum and unreachable target, and has good dynamic obstacle avoidance ability. This method ensures the reliability of spherical robot group and improves the efficiency of multi-robot group.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129716958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-07DOI: 10.1109/ICMA54519.2022.9855934
Ziyi Yang, Shuxiang Guo
The variable stiffness actuator (VSA) can be integrated into the robotics to improve the inherent compliance characteristics of robotics for the safe physical human robot interaction (pHRI). The output stiffness of the VSA is excepted to be independently controllable during the rehabilitation training processing. Furthermore, the motion and stiffness control of VSA can be independently controlled by VSA for rehabilitation application scenario. In this paper, a hybrid motion stiffness control strategy for achieving assist-as-needed control and suitable patient-robot interaction was proposed utilizing the compliance characteristic of VSA. The elbow joint output stiffness could be adjusted by a linear mapping method to obtain controllable assistant level, which is based on the real-time bilateral position tracking error. It is noted that the linear mapping scaler could be regulated for different patient injury-levels. The preliminary experimental results show that the proposed method can adjust the elbow joint stiffness for patients according to the real-time bilateral position errors.
{"title":"A Hybrid Motion Stiffness Control of Variable Stiffness Actuator for Upper Limb Elbow Joints Rehabilitation","authors":"Ziyi Yang, Shuxiang Guo","doi":"10.1109/ICMA54519.2022.9855934","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9855934","url":null,"abstract":"The variable stiffness actuator (VSA) can be integrated into the robotics to improve the inherent compliance characteristics of robotics for the safe physical human robot interaction (pHRI). The output stiffness of the VSA is excepted to be independently controllable during the rehabilitation training processing. Furthermore, the motion and stiffness control of VSA can be independently controlled by VSA for rehabilitation application scenario. In this paper, a hybrid motion stiffness control strategy for achieving assist-as-needed control and suitable patient-robot interaction was proposed utilizing the compliance characteristic of VSA. The elbow joint output stiffness could be adjusted by a linear mapping method to obtain controllable assistant level, which is based on the real-time bilateral position tracking error. It is noted that the linear mapping scaler could be regulated for different patient injury-levels. The preliminary experimental results show that the proposed method can adjust the elbow joint stiffness for patients according to the real-time bilateral position errors.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128641602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the optimization design of high frequency transformer in low-voltage high-current power electronic converter, the volume and efficiency of high frequency transformer are taken as the optimization objectives, the calculation methods of magnetic core and winding loss of high frequency transformer are analyzed. On this basis, a two dimensional optimization model is established with saturated magnetic induction intensity and current density as optimization variables. Genetic algorithm has certain advantages in solving nonlinear multiobjective optimization problems. In this paper, NSGA-II algorithm is used to optimize the design of high frequency transformers with ferrite, amorphous alloy and nanocrystalline core materials. By comparing the optimization parameters of the simulation results, the superiority of nanocrystalline materials in the design of high frequency transformer is verified, due to its high saturation magnetic induction strength and high permeability, nanocrystalline materials have better comprehensive performance than ferrite and amorphous alloy materials in high-frequency and high power applications.
{"title":"Multiobjective optimization design of high frequency transformer based on NSGA-II algorithm","authors":"Chunjie Wang, Wenkai Han, Peng Chen, Jinchuan Song, Songwei Yuan","doi":"10.1109/ICMA54519.2022.9856127","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856127","url":null,"abstract":"Aiming at the optimization design of high frequency transformer in low-voltage high-current power electronic converter, the volume and efficiency of high frequency transformer are taken as the optimization objectives, the calculation methods of magnetic core and winding loss of high frequency transformer are analyzed. On this basis, a two dimensional optimization model is established with saturated magnetic induction intensity and current density as optimization variables. Genetic algorithm has certain advantages in solving nonlinear multiobjective optimization problems. In this paper, NSGA-II algorithm is used to optimize the design of high frequency transformers with ferrite, amorphous alloy and nanocrystalline core materials. By comparing the optimization parameters of the simulation results, the superiority of nanocrystalline materials in the design of high frequency transformer is verified, due to its high saturation magnetic induction strength and high permeability, nanocrystalline materials have better comprehensive performance than ferrite and amorphous alloy materials in high-frequency and high power applications.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116195862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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