Research On Position Prediction Method Of Magnetic Field Oriented Control For Multidimensional WPT System

Wireless power transfer(Wireless Power Transfer,WPT)technology is a non-contact power transmission technology based on the principle of electromagnetic coupling.It has the advantages of safety,reliability,and convenience.It has a wide range of applications in electric vehicles,robots,medical equipment,and smart homes.Application prospects.However,the traditional one-dimensional WPT systems are mostly suitable for occasions where the positions of the transmitting coil and the receiving coil are relatively fixed.When the receiving coil moves and rotates in the air,the transmission efficiency of the WPT system will be significantly reduced.In order to break the bottleneck of energy unidirectional transmission in one-dimensional WPT system,many scholars at home and abroad have proposed the design idea of multi-dimensional WPT system.The multi-dimensional WPT system needs to obtain the spatial position of the receiving coil in real time,and synthesize the required magnetic field vector by controlling the current size of the orthogonal transmitting coil,thereby achieving omnidirectional wireless energy transmission.Regarding the problem of acquiring the spatial position information of the receiving coil,most of the methods for measuring the spatial position of the receiving coil,such as an angle measuring instrument,are currently used.There are disadvantages such as large size and inconvenient installation,which have certain limitations.Therefore,this paper proposes a BP neural network algorithm-based receiver coil position prediction method,by which to achieve multi-dimensional WPT system magnetic field orientation control,improve the intelligence and reliability of WPT system.Starting from the transmission characteristics of the WPT system,this paper constructs the loop coupling equations of the two-dimensional WPT system and the three-dimensional WPT system based on the equivalent circuit theory,and analyzes the size and direction of the magnetic field at any point in space based on the Biot-Savart Law.The functional relationship between the direction of the magnetic field and the current of the transmitting coil in the multi-dimensional WPT system is obtained,which provides a theoretical basis for the prediction of the position of the receiving coil in the subsequent magnetic field orientation.The Maxwell finite element method was used to verify the field-oriented control,and the research results confirmed the feasibility of the proposed method.Secondly,based on the BP neural network algorithm,a multi-dimensional WPT system receiving coil position prediction method is proposed,and on this basis,a multi-dimensional WPT system magnetic field orientation control strategy based on position prediction is formed.Spherical coordinates are used to represent the spatial position of the receiving coil.At the same time,the transmission distance,transmission efficiency and the size of the transmitting coil current are used as the input signal of the prediction model.The spatial position of the receiving coil is used as the output signal of the prediction model.WPT system location prediction model.In order to verify the correctness of the BP neural network model,a comparative analysis with the existing prediction methods under the MATLAB environment is carried out.The research results show that the model has better prediction accuracy.Finally,based on Verilog language and FPGA development platform,a Model Sim simulation environment for receiver coil position prediction was built to verify the feasibility and accuracy of receiver coil position prediction.In addition,considering the noise interf erence in the actual working conditions,this paper adds Gaussian noise to the original sample data,and performs noise reduction processing on the noisy signal according to the wavelet denoising theory.The processed results can achieve good location prediction.