Three-dimensional(3D) single-layer microcoils have always been a key element for electromagnetic systems;but they lack an easy and accurate method to calculate the inductance value for their complex 3D micro-structure...Three-dimensional(3D) single-layer microcoils have always been a key element for electromagnetic systems;but they lack an easy and accurate method to calculate the inductance value for their complex 3D micro-structures. This paper employed a curve-fitting process to obtain the associated equation for the inductance value and geometric parameters based on the simulation results. The correction factors regarding helical pitch and wire diameter were reviewed,which are used for compensation in the Nagaoka formula. The simulation process numerically simulated the performance of the 3D microcoils using a FEM electro-magnetic-coupled analysis method. Comparison of the simulated inductance value and the Nagaoka formula was undertaken,which shows that the helical pitch and wire diameter contribute a main role in the calculation error. The derived formula was expressed in a concise form to precisely calculate the inductance value of 3D microsolenoids with single-layer coils.展开更多
In the aerospace sector,the soft magnetic materials of Hermetically Sealed Electromagnetic Relays(HSERs)are critical in forming magnetic circuits.Conventional soft magnetic materials,primarily magnetic iron,have been ...In the aerospace sector,the soft magnetic materials of Hermetically Sealed Electromagnetic Relays(HSERs)are critical in forming magnetic circuits.Conventional soft magnetic materials,primarily magnetic iron,have been unable to meet the development trend of fast-response,miniaturized,and lightweight aerospace and aviation systems.This paper applies circuit theory and electromagnetics theory to establish a Field-Circuit Coupling Mathematical Model(FCCMM)for dynamic response analysis of HSERs.This model centers on inductance calculation,with the core's permeability and saturation magnetic flux density as critical parameters.Based on this model,for a specific type of HSER,this paper introduced three alloys with key parameters different from magnetic iron,then tested the magnetic characteristic curves of these four soft magnetic materials,followed by simulations to obtain the electromagnetic characteristics of digital mock-ups corresponding to these four materials,compared and validated the dynamic responses corresponding to these four soft magnetic materials finally.Based on the theoretical model analysis results,this paper designed a lightweight coil to minimize response time,made prototypes,set up test systems,and tested dynamic characteristics.The experimental results indicate that the nanocrystalline alloy1K107B exhibits the most significant optimization,reducing the closing time by 40.48%and achieving a weight reduction of 6.53%.展开更多
Humanoid robot joints require real-time torque detection to provide accurate force feedback informa-tion for the control system.To meet the measurement requirements and realize the miniaturization of the sensor,a torq...Humanoid robot joints require real-time torque detection to provide accurate force feedback informa-tion for the control system.To meet the measurement requirements and realize the miniaturization of the sensor,a torque sensor based on the magnetoelastic effect is developed,utilizing planar spiral coils as detection probes.In this work,a planar spiral coil mutual inductance calculation model is established to solve the mutual inductance coefficient,and the mechanical structure and circuit design of the sensor are completed.Finally,a torque loading platform is built to perform calibration experiments,and the hysteresis model is improved to compensate for the hysteresis phenomenon.The calibration results indicate that the sensor shows excellent loaded nonlinearity of 3.08%F.S.,unloaded nonlinearity of 2.71% F.S.,loaded repeatability of 2.48% F.S.,unloaded repeatability of 1.89% F.S.and hysteresis of 1.9% F.S.,at a compact probe size of 13.8×9.9×1.8 mm.展开更多
In this paper,a model-aided state parameter inversion identification method based on the coil current(CC)of electromagnetic trip device(ETD)is proposed to realise the state parameter inversion online and the quantitat...In this paper,a model-aided state parameter inversion identification method based on the coil current(CC)of electromagnetic trip device(ETD)is proposed to realise the state parameter inversion online and the quantitative description of defects.Firstly,the inductance calculation model(ICM)considering flux saturation is established based on the magnetic circuit model,and the electromagnetic dynamic coupling model of ETD is constructed and the models are verified by experiments.Subsequently,the state parameter vector space,which can be used to describe the typical defect types is constructed,and the corresponding dataset is created by the electromagnetic dynamics model.Afterwards,the parameter inversion model with CC features as input and state parameter vector as output is obtained by the convolutional neural network(CNN).The accuracy of the parameter inversion model and the validity of the inversion method are verified.Compared with the traditional state classification method based on CC features,the state parameter inversion method proposed can realise the physical quantitative description of the mechanical state,has more explicit physical interpretability and provides a new way to conduct state evaluation and defect diagnosis.展开更多
基金supported by the National Science Foundation of China under the Grant No.61176113 and 51335008the Special-funded program on national key scientific instruments and equipment development of China under the Grant No.2012YQ12004706the Program for Changjiang Scholars and Innovative Research Team in University(IRT1033)。
文摘Three-dimensional(3D) single-layer microcoils have always been a key element for electromagnetic systems;but they lack an easy and accurate method to calculate the inductance value for their complex 3D micro-structures. This paper employed a curve-fitting process to obtain the associated equation for the inductance value and geometric parameters based on the simulation results. The correction factors regarding helical pitch and wire diameter were reviewed,which are used for compensation in the Nagaoka formula. The simulation process numerically simulated the performance of the 3D microcoils using a FEM electro-magnetic-coupled analysis method. Comparison of the simulated inductance value and the Nagaoka formula was undertaken,which shows that the helical pitch and wire diameter contribute a main role in the calculation error. The derived formula was expressed in a concise form to precisely calculate the inductance value of 3D microsolenoids with single-layer coils.
基金supported by the National Natural Science Foundation of China(No.52177134)。
文摘In the aerospace sector,the soft magnetic materials of Hermetically Sealed Electromagnetic Relays(HSERs)are critical in forming magnetic circuits.Conventional soft magnetic materials,primarily magnetic iron,have been unable to meet the development trend of fast-response,miniaturized,and lightweight aerospace and aviation systems.This paper applies circuit theory and electromagnetics theory to establish a Field-Circuit Coupling Mathematical Model(FCCMM)for dynamic response analysis of HSERs.This model centers on inductance calculation,with the core's permeability and saturation magnetic flux density as critical parameters.Based on this model,for a specific type of HSER,this paper introduced three alloys with key parameters different from magnetic iron,then tested the magnetic characteristic curves of these four soft magnetic materials,followed by simulations to obtain the electromagnetic characteristics of digital mock-ups corresponding to these four materials,compared and validated the dynamic responses corresponding to these four soft magnetic materials finally.Based on the theoretical model analysis results,this paper designed a lightweight coil to minimize response time,made prototypes,set up test systems,and tested dynamic characteristics.The experimental results indicate that the nanocrystalline alloy1K107B exhibits the most significant optimization,reducing the closing time by 40.48%and achieving a weight reduction of 6.53%.
基金supported in part by Guangxi Science and Technology Program,China(2024AB12006)the Open Fund of Innovation Center for Control Actuators,China(ICCA18-202405)China Huaneng Group.,Ltd.Headquarters Technology Project(HNKJ24-HF15).
文摘Humanoid robot joints require real-time torque detection to provide accurate force feedback informa-tion for the control system.To meet the measurement requirements and realize the miniaturization of the sensor,a torque sensor based on the magnetoelastic effect is developed,utilizing planar spiral coils as detection probes.In this work,a planar spiral coil mutual inductance calculation model is established to solve the mutual inductance coefficient,and the mechanical structure and circuit design of the sensor are completed.Finally,a torque loading platform is built to perform calibration experiments,and the hysteresis model is improved to compensate for the hysteresis phenomenon.The calibration results indicate that the sensor shows excellent loaded nonlinearity of 3.08%F.S.,unloaded nonlinearity of 2.71% F.S.,loaded repeatability of 2.48% F.S.,unloaded repeatability of 1.89% F.S.and hysteresis of 1.9% F.S.,at a compact probe size of 13.8×9.9×1.8 mm.
基金National Natural Science Foundation of China-State Grid Corporation Joint Fund for Smart Grid(Grant/Award U2066217)the Fundamental Research Funds for the Central Universities(Grant/Award 2042023kf0093).
文摘In this paper,a model-aided state parameter inversion identification method based on the coil current(CC)of electromagnetic trip device(ETD)is proposed to realise the state parameter inversion online and the quantitative description of defects.Firstly,the inductance calculation model(ICM)considering flux saturation is established based on the magnetic circuit model,and the electromagnetic dynamic coupling model of ETD is constructed and the models are verified by experiments.Subsequently,the state parameter vector space,which can be used to describe the typical defect types is constructed,and the corresponding dataset is created by the electromagnetic dynamics model.Afterwards,the parameter inversion model with CC features as input and state parameter vector as output is obtained by the convolutional neural network(CNN).The accuracy of the parameter inversion model and the validity of the inversion method are verified.Compared with the traditional state classification method based on CC features,the state parameter inversion method proposed can realise the physical quantitative description of the mechanical state,has more explicit physical interpretability and provides a new way to conduct state evaluation and defect diagnosis.
