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基于智能控制的電力機車控制系統計

時間:2019-06-01 19:54來源:畢業論文
針對系統的非線性、變參數等特點,將模糊 PI 自整定控制運用于系統當中,有效提高了系統的響應速度和魯棒性。仿真實驗證明,系統在動態響應、增強魯棒性、抗干擾能力等方面獲得

摘要:電力機車牽引電機的控制是電力機車的核心技術之一,其控制性能的好壞對于電力機車的安全穩定的運行具有至關重要的作用。本文在理解電力機車控制及坐標變換方法的基礎上,應用 MATLAB/simulink 仿真工具,建立了基于智能控制的電力機車控制系統的仿真模型,對電力機車牽引傳動系統中牽引電機控制方法進行了研究,主要內容如下:由于異步電機本身具有多變量、強耦合、非線性和時變性的特點,且其受電機參數變化和負載波動等因素的影響很大,所以難以對其精確控制。本文在分析矢量控制基本思想的基礎上,分析了空間矢量脈寬調制(SVPWM)算法以及實現方法設計了交流異步電機的雙閉環矢量控制系統,通過仿真,可以看到,利用 SVPWM 實現了電壓空間矢量連續調節,定子磁鏈呈較好的圓形,轉矩脈動小。根據無速度傳感器控制理論,提出了基于模型參考自適應法(MRAS)的轉速辨識控制,能實現較大范圍內的轉速辨識,同時保證系統有較快的動態響應,仿真結果表明所設計的無速度傳感器矢量控制系統具有良好的動、靜態性能,轉速辨識快速、準確,且具有較強的魯棒性和穩定性。在轉速調節器的設計上,該系統采用參數自適應模糊控制器,很好的克服了非線性因素的影響。針對系統的非線性、變參數等特點,將模糊 PI 自整定控制運用于系統當中,有效提高了系統的響應速度和魯棒性。仿真實驗證明,系統在動態響應、增強魯棒性、抗干擾能力等方面獲得了令人滿意的結果。35877
畢業論文關鍵詞: 電力機車;坐標變換;SVPWM;矢量控制;MRAS;模糊控制

源¥自%六:維;論-文'網=www.aftnzs.live


The design of electric locomotive control system basedon intelligent control
Abstract: Control of traction motor of electric locomotive is one of the core technology ofelectric locomotive,The control performance is crucial to the safe and stable operation of theelectric locomotive role,Based on the understanding of electric locomotive control and themethod of coordinate transformation,The application of MATLAB/simulink simulationtools,To establish a simulation model of electric locomotive control system based on intelligent control.The electric locomotive traction control method of traction motor drivesystem is studied.The main contents are as follows:The paper presents a dual closed-loop vector control system for asynchronous motorwhich is a multi-variables,strong coupling,nonlinear and time-varying system and is difficultto accurately control because of changes in motor parameters and load fluctuations infactors.Space vector pulse width modulation (SVPWM) algorithm and implementationmethods are analyzed.From the simulation results,we can see that SVPWM is very useful inthe continuous adjustment of voltage vector, which contributes to the perfect circle track ofstator flux linkage and the slight ripple soft torque.Speed controller uses a parametersself-adjusting fuzzy controller and flux observer uses an improved combining methods ofvoltage model and current model.According to the theory of speed sensor-less vector controlsystem, it proposes a novel scheme of identifying the rotor speed based on MRAS(ModelReference Adaptive System),which could achieve a large range of speed identification, whileensuring the fast dynamic response of system,Simulation results showed that the speedsensorless vector control system can track the variation of the motor speed accurately, and hadstrong robustness and stability.Speed controller uses a parameters self-adjusting fuzzycontroller.Because of the characteristics of nonlinear,variable parameter system and fuzzyadaptive PI control were adopted in the system,the response speed and robustness of thesystem was improved.while ensuring the fast dynamic response of system. 源¥自%六:維;論-文'網=www.aftnzs.live
Keywords: Electric locomotive;coordinate transformation;SVPWM;Vectorcontrol;MRAS;Fuzzy control
目錄 基于智能控制的電力機車控制系統計:http://www.aftnzs.live/zidonghua/20190601/34056.html
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