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基于三相異步電動機矢量控制系統優化控制算法的研究+源代碼

時間:2019-04-15 19:56來源:畢業論文
采用MATLAB/Simulink構建基于SVPWM按轉子磁場定向矢量控制系統的仿真模型。變速和變負載狀態時,對比PI控制器優化前后的仿真結果后發現,采用粒子群算法優化的矢量控制系統,性能得到

摘要節能減排越來越成為世界各個國家的共識,直流調速由于自身的局限性,無法應對日益復雜多變的工況,在此潮流中逐漸被交流調速所取代。近年來,隨著變頻調速時代的到來,交流調速系統空前發展,矢量控制也被廣泛運用。為進一步改善性能指標,本文將優化算法應用于三相異步電機矢量控制系統PI調節器的參數優化。34564
首先,闡述交流調速技術的研究方向,優化算法概況以及在交流調速上的運用。經過討論不同矢量控制方案優缺點,選擇按轉子磁場定向的矢量控制方案。在介紹矢量控制系統基本原理基礎上,給出異步電機不同狀態下的數學模型以及坐標變換,詳細解釋了按轉子磁場定向矢量控制系統的解耦過程,分析并構建了轉子磁鏈觀測器。對SVPWM控制技術的基本原理進行詳細的分析講解,實現SVPWM算法。采用PI控制方法,設計系統中的磁通、轉矩及轉速調節器。介紹了遺傳算法、粒子群PSO算法的基本思路,并將其應用到上述PI調節器的參數優化,給出了優化過程。
硬件設計時,選擇TI公司的TMS320F28335型DSP為控制平臺,主要包括主功率電路,控制電路,檢測電路,保護電路,電源電路等。軟件設計時,采用模塊化設計,主要包括主程序和SVPWM中斷服務程序。
接著,采用MATLAB/Simulink構建基于SVPWM按轉子磁場定向矢量控制系統的仿真模型。變速和變負載狀態時,對比PI控制器優化前后的仿真結果后發現,采用粒子群算法優化的矢量控制系統,性能得到明顯的提升。
源`自*六)維[論*文'網www.aftnzs.live

最后,總結了全文的內容,結合研究過程發現的問題給出了思考和展望。
畢業論文關鍵詞:   三相異步電機  矢量控制  PID控制  粒子群算法
Abstract Energy conservation has increasingly become the consensus of all
countries in the world, DC due to their own limitations, can not cope with the increasingly complex and changing conditions, this trend is gradually being replaced by AC variable speed. In recent years, with the advent of the era of Frequency Control, AC drive system ever developed, vector control has also been widely used. To further improve performance, this paper optimization algorithm is applied to a three-phase induction motor vector control system PI regulator parameter optimization.
Firstly, the exchange control technology research, the optimization algorithms used in the exchange profile and the governor is elaborated. after discussing the advantages and disadvantages of different vector control, vector control program by rotor flux orientation is selected. In introducing the basic principles of vector control systems, the mathematical model and a coordinate transformation induction motors in different states, a detailed explanation of the rotor flux oriented vector control system decoupling process, analyze and construct the rotor flux observer. The basic principle of SVPWM control technology to conduct a detailed analysis to explain, achieve SVPWM algorithm. Using PI control method design system flux, torque and speed regulator. The basic idea of genetic algorithms, particle swarm PSO algorithm and its parameters are applied to said PI controller optimization, given the optimization process.
Hardware design, select TMS320F28335 type TI's DSP control platform, including the main power circuit, control circuits, test circuits, protection circuits, power circuits. Software design, modular design includes the main program and SVPWM interrupt service routine.

源`自*六)維[論*文'網www.aftnzs.live


Then, using MATLAB / Simulink build SVPWM rotor flux oriented vector control system simulation model. In variable speed and variable load conditions, after comparing the simulation results before and after the discovery PI controller optimization using particle swarm optimization of vector control system, the performance has been significantly improved. 基于三相異步電動機矢量控制系統優化控制算法的研究+源代碼:http://www.aftnzs.live/zidonghua/20190415/32090.html
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