Font Size: a A A

Research On Hybrid Modeling And Predictive Control Of Multi-load ICPT System

Posted on:2021-05-12Degree:MasterType:Thesis
Country:ChinaCandidate:B C LinFull Text:PDF
GTID:2392330605959200Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of science and technology,traditional power supply technology is increasingly unable to meet the requirements of people's actual work.Therefore,wireless energy transmission technology came into being,and quickly became a new research direction in the electrical field.Inductive Coupling Power Transfer(Inductive Coupling Power Transfer,ICPT)technology,as the main transmission method of wireless energy transmission technology,not only overcomes the shortcomings of the traditional power supply method such as bare wires,easy corrosion,but also has high transmission efficiency at short distances and is suitable for High power transmission and other advantages.However,in some fields such as electric vehicles and rail traction power supply,it is sometimes necessary to supply power to multiple loads at the same time,which leads to the coupling problem of the multiple-load secondary coil,and the discrete switching value of the high-frequency inverter in the system continuously works with the entire system.The relationship between state changes and the stability of the system during multi-load switching is worthy of in-depth study.Studying the hybrid characteristics of the multi-load ICPT system and the multi-load dynamic switching process can improve the accuracy of system modeling,more clearly describe the relationship between the discrete characteristics and continuous characteristics of the system,and ensure the stability and reliability of the system during operation.It has important theoretical significance for multi-load ICPT system engineering application.Based on the application of rail transit,this dissertation mainly studies the hybrid modeling of multi-load ICPT system and the predictive control of dynamic load switching.First,the domestic and foreign research status of multi-load ICPT system modeling and control is introduced,and the existing problems are proposed.Second,the working principle and compensation topology of the ICPT system are introduced.The LCL-S topology is analyzed and determined as the multi-load ICPT system.Compensation structure;by analyzing the coupling problem of the secondary coil of the multi-load ICPT system,decoupling the secondary coil by the principle of mutual inductance,and establishing the state space model of the multi-load ICPT system under different working states;Principle,analyze the relationship between discrete switching variables and the system in different working states,obtain the switching rules of discrete variables and continuous variables of the multi-load ICPT system,establish a mixed logic dynamic model of the system,and determine the inverter output according to the switching rules of the model The current threshold is used as the switching condition of the hybrid automaton model to establish the hybrid automaton model of the system.Considering the instability of the system when the load of the multi-load ICPT system is dynamically switched,the predictive control method is used to multi-load ICPT and the inverter current of the high-frequency inverter in the system is an observation.With the minimum cost function,a predictive controller is designed and simulated.Finally,the system software and hardware are designed.By designing the inverter circuit,DSP(Digital Signal Process)drive circuit,auxiliary circuit,the system software flowchart is given.Through theoretical research and analysis,a simulation experiment was built under Matlab / Simulink.The simulation results proved the effectiveness and accuracy of hybrid modeling.The predictive controller built by predictive control method improved stability and reliability of load switching of multi-load ICPT system.
Keywords/Search Tags:Multi-load ICPT, Decoupling Analysis, Hybrid Modeling, Model Predictive Control
PDF Full Text Request
Related items