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基于智能控制的电力机车控制系统计

时间:2019-06-01 19:54来源:毕业论文
针对系统的非线性、变参数等特点,将模糊 PI 自整定控制运用于系统当中,有效提高了系统的响应速度和鲁棒性。仿真实验证明,系统在动态响应、增强鲁棒性、抗干扰能力等方面获得

摘要:电力机车牵引电机的控制是电力机车的核心技术之一,其控制性能的好坏对于电力机车的安全稳定的运行具有至关重要的作用。本文在理解电力机车控制及坐标变换方法的基础上,应用 MATLAB/simulink 仿真工具,建立了基于智能控制的电力机车控制系统的仿真模型,对电力机车牵引传动系统中牵引电机控制方法进行了研究,主要内容如下:由于异步电机本身具有多变量、强耦合、非线性和时变性的特点,且其受电机参数变化和负载波动等因素的影响很大,所以难以对其精确控制。本文在分析矢量控制基本思想的基础上,分析了空间矢量脉宽调制(SVPWM)算法以及实现方法设计了交流异步电机的双闭环矢量控制系统,通过仿真,可以看到,利用 SVPWM 实现了电压空间矢量连续调节,定子磁链呈较好的圆形,转矩脉动小。根据无速度传感器控制理论,提出了基于模型参考自适应法(MRAS)的转速辨识控制,能实现较大范围内的转速辨识,同时保证系统有较快的动态响应,仿真结果表明所设计的无速度传感器矢量控制系统具有良好的动、静态性能,转速辨识快速、准确,且具有较强的鲁棒性和稳定性。在转速调节器的设计上,该系统采用参数自适应模糊控制器,很好的克服了非线性因素的影响。针对系统的非线性、变参数等特点,将模糊 PI 自整定控制运用于系统当中,有效提高了系统的响应速度和鲁棒性。仿真实验证明,系统在动态响应、增强鲁棒性、抗干扰能力等方面获得了令人满意的结果。35877
毕业论文关键词: 电力机车;坐标变换;SVPWM;矢量控制;MRAS;模糊控制 源`自*六)维[论*文'网www.lwfree.cn
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)维[论*文'网www.lwfree.cn

Keywords: Electric locomotive;coordinate transformation;SVPWM;Vectorcontrol;MRAS;Fuzzy control
目录 基于智能控制的电力机车控制系统计:http://www.lwfree.cn/zidonghua/20190601/34056.html
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