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Control Strategy And Parameter Optimization Of Asynchronous Motor Speed Control System Based On BBMC

Posted on:2020-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:J LiuFull Text:PDF
GTID:2392330620454826Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Buck-Boost matrix converter(Buck-Boost matrix converter,BBMC)is a kind of "green" converter,which has simple topology and a series of ideal electrical characteristics,so it is suitable for variable frequency speed regulation system of asynchronous motor.In this paper,the basic problems of Buck-Boost matrix converter applied to asynchronous motor speed regulation system,such as control strategy,control parameters and main circuit parameter optimization,are studied.The main research contents are as follows:1.The development of power converter in asynchronous motor speed regulation system is briefly described,and the control strategy of asynchronous motor speed regulation system based on BBMC and the research status and existing problems of control parameters and main circuit parameters optimization are described.2.The basic structure and working principle of BBMC are briefly introduced,the basic principle and design method of rectifier level and inverter level control strategy are expounded,and the basic characteristics of each control strategy are analyzed.3.A variable frequency speed control method based on finite time control(FTC)is proposed for asynchronous motor speed regulation system with BBMC as power converter.This paper expounds the basic idea of the control strategy of the speed regulation system,studies the concrete realization method of the vector control based on PI-IP control and the finite time control adopted by BBMC,and verifies its effect by simulation.4.Aiming at the speed regulation system of BBMC asynchronous motor based on finite time control,an adaptive wolf swarm optimization algorithm is proposed to optimize the control parameters.By establishing the mathematical model between BBMC optimization objective and its control parameters,the optimal design method of control parameters based on adaptive wolf swarm optimization algorithm is studied.On this basis,the variation law between the optimal control parameters and the actual output current of BBMC is further studied and determined,which lays a theoretical foundation for realizing the real-time adjustment of the optimal control parameters of the speed regulation system with the change of load.Finally,the above theoretical analysis is verified by simulation.5.In order to solve the problem that the steady-state control accuracy and load capacity of BBMC speed regulation system are closely related to the main circuit parameters,an adaptive wolf swarm optimization algorithm is proposed to optimize the main circuit parameters.By establishing the mathematical model between the BBMC optimization objective and its main circuit parameters,the optimization design method of BBMC main circuit parameters based on adaptive wolf swarm optimization algorithm is studied.On this basis,the variation between the optimal design parameters of BBMC main circuit and the rated output current of BBMC is further studied and determined,which lays the foundation for the optimal design of BBMC main circuit under different current quota.Finally,the simulation is carried out.The above theoretical analysis is verified.6.With DSP+FPGA as the system controller and IKW40N120T2 as the power switch,an experimental device of asynchronous motor speed regulation system based on BBMC was developed,and the above theoretical analysis was verified experimentally.
Keywords/Search Tags:Buck-Boost matrix converter, asynchronous motor, finite time control, wolf group algorithm, parameter optimization
PDF Full Text Request
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