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Comparative Study on Schemes for Generating Multiple Frequencies with Single Inverter
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作者 Jie Wu Shiyun Heng +5 位作者 Jing Yin Lizhong Bie Yafei Chen Jitao Zhang Zhenjun Wu Wei Deng 《Chinese Journal of Electrical Engineering》 2025年第4期207-218,共12页
In wireless charging devices,using single inverter to output multiple frequencies can effectively reduce device size and address the frequency incompatibility problem caused by different wireless charging standards.In... In wireless charging devices,using single inverter to output multiple frequencies can effectively reduce device size and address the frequency incompatibility problem caused by different wireless charging standards.In addition,in the field of consumer electronics,the demand for simultaneous wireless power supply to multiple receivers is becoming increasingly urgent.Receivers that follow different standards require different transmission frequencies,and the generation of multi-frequency signals from single inverter is becoming an indispensable technology.Two methods for generating multi-frequency signals using single inverter,including multi-frequency programmed harmonic modulation(MF-PHM)and multi-frequency multi-amplitude(MFMA)superposition modulation,are investigated.The two methods are compared from the perspectives of system DC voltage utilization rate and inverter output harmonic components.The advantages and disadvantages of each method,together with the underlying mechanisms,are analyzed.Taking the simultaneous generation of 129.5 kHz,203.5 kHz,and 351.5 kHz by single inverter as an example,a simulation and experimental platform is established to verify the analysis and conclusions.References and guidance for selecting multi-frequency-generation methods using single inverter are provided. 展开更多
关键词 Multi-frequency programmed harmonic modulation selective harmonic elimination single-inverter wireless power transfer
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Research on innovative hybrid analysis method for structural seismic response based on neural network restoring force model
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作者 Yunqing ZHU Jing WU +2 位作者 Luqi XIE Kai WANG Yinghao WEI 《Frontiers of Structural and Civil Engineering》 2025年第5期699-717,共19页
Quasi-static testing is the primary seismic research method employed.The method proposed in this study utilizes the neural network(NN)algorithm for restoring force identification to extend the hysteretic performance o... Quasi-static testing is the primary seismic research method employed.The method proposed in this study utilizes the neural network(NN)algorithm for restoring force identification to extend the hysteretic performance of nonlinear complex components obtained from quasi-static tests shared or performed at a lower cost to the time history analysis of the seismic response of the entire structure.This approach enables accurate analysis of the seismic performance of the structure under real earthquake ground motions at a relatively low experimental costs.At the level of restoring force model recognition,the eight-path hysteresis model recognition theory and the corresponding complete set of input and output variables in the NN algorithm are proposed.The NN restoring force model was established using input and output parameters that characterize hysteresis state features,with a two-hidden-layer NN architecture.The case study results indicate that the prediction results of the NN restoring force model align well with the target values when trained on samples obtained under both seismic and quasi-static loading conditions.At the level of the nonlinear dynamic analysis of structures,the hybrid analysis method of structural seismic response based on NN restoring force model is proposed.In this method,the potentially severe nonlinear and elastic parts of the structure are divided into several NN substructures and principal numerical substructure,respectively.The pseudo-static test data of nonlinear regions were used to train the proposed NN restoring force model to identify the restoring force of NN substructures in the same region under time-history dynamic analysis.The platform was built to complete the data interaction between several NN substructures and principal numerical substructures,and a precise integration method was used to program the dynamic equation solving module,gradually completing dynamic response analysis of the entire structure.A multi-degree-offreedom nonlinear frame case study indicate that the proposed method has good accuracy and can effectively analyze the structural nonlinear seismic response. 展开更多
关键词 restoring force model neural network algorithm module programming hybrid analysis method nonlinear dynamic analysis
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