ZIP两相步进电机FOC矢量控制Simulink仿真模型1.采用针对两相步进电机的SVPWM控制算法，实现FOC矢量控制，DQ轴解耦 717.7KB

bKHybRDpTEsH

资源文件列表:

两相步进电机矢量控制.zip 大约有11个文件
  1. 1.jpg 153.68KB
  2. 2.jpg 329.82KB
  3. 3.jpg 360.88KB
  4. 两相步进电机矢量控制仿真模型分.txt 2.14KB
  5. 两相步进电机矢量控制仿真模型分析一引言在数字.txt 2.18KB
  6. 两相步进电机矢量控制仿真模型解析一引言在技术.txt 2.25KB
  7. 两相步进电机矢量控制仿真模型采用针对两.html 4.77KB
  8. 两相步进电机矢量控制仿真模型采用针对两.txt 256B
  9. 两相步进电机矢量控制仿真模型随.txt 1.98KB
  10. 两相步进电机矢量控制仿真模型随着.txt 1.9KB
  11. 标题两相步进电机矢量控制仿真模型摘要.doc 2.14KB

资源介绍:

两相步进电机FOC矢量控制Simulink仿真模型 1.采用针对两相步进电机的SVPWM控制算法，实现FOC矢量控制，DQ轴解耦控制～ 2.转速电流双闭环控制，电流环采用PI控制，转速环分别采用PI和自抗扰ADRC控制，分析ADRC控制优越性～
<link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763220/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763220/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">标题<span class="ff2">：</span>两相步进电机<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>矢量控制<span class="_ _0"> </span><span class="ff3">Simulink<span class="_ _1"> </span></span>仿真模型</div><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">摘要<span class="ff2">：</span>本文基于两相步进电机<span class="ff2">，</span>采用<span class="_ _0"> </span><span class="ff3">SVPWM<span class="_ _1"> </span></span>控制算法实现了<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>矢量控制<span class="ff2">，</span>在<span class="_ _0"> </span><span class="ff3">DQ<span class="_ _1"> </span></span>轴上实现了解耦</div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">控制<span class="ff4">。</span>同时<span class="ff2">，</span>采用了转速电流双闭环控制策略<span class="ff2">，</span>电流环部分采用<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制<span class="ff2">，</span>转速环则采用<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制和自</div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">抗扰<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制<span class="ff2">，</span>通过分析<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制优越性<span class="ff2">，</span>实现了更精确的步进电机控制<span class="ff4">。</span></div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls0 ws0">关键词<span class="ff2">：</span>两相步进电机<span class="ff4">、<span class="ff3">FOC<span class="_ _1"> </span></span></span>矢量控制<span class="ff4">、<span class="ff3">SVPWM<span class="_ _1"> </span></span></span>算法<span class="ff4">、<span class="ff3">DQ<span class="_ _1"> </span></span></span>轴解耦控制<span class="ff4">、</span>转速电流双闭环控制<span class="ff4">、<span class="ff3">PI<span class="_ _1"> </span></span></span>控</div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls0 ws0">制<span class="ff4">、</span>自抗扰<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制</div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">引言<span class="ff2">：</span></div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">两相步进电机因其结构简单<span class="ff4">、</span>成本低廉<span class="ff4">、</span>控制方式灵活等优势<span class="ff2">，</span>在工业自动化领域得到广泛应用<span class="ff4">。</span>为</div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls0 ws0">了提高步进电机的运动精度和效率<span class="ff2">，</span>本文提出了一种基于<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>矢量控制的<span class="_ _0"> </span><span class="ff3">Simulink<span class="_ _1"> </span></span>仿真模型<span class="ff4">。</span>该</div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls0 ws0">模型采用<span class="_ _0"> </span><span class="ff3">SVPWM<span class="_ _1"> </span></span>控制算法<span class="ff2">，</span>实现了<span class="_ _0"> </span><span class="ff3">DQ<span class="_ _1"> </span></span>轴解耦控制<span class="ff2">，</span>并采用转速电流双闭环策略<span class="ff2">，</span>其中电流环部分采</div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls0 ws0">用<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制<span class="ff2">，</span>转速环则分别采用<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制和自抗扰<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制<span class="ff4">。</span>本文将详细介绍两相步进电机<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>矢</div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls0 ws0">量控制的实现原理和<span class="_ _0"> </span><span class="ff3">Simulink<span class="_ _1"> </span></span>仿真模型的搭建过程<span class="ff2">，</span>并对<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制的优越性进行了分析<span class="ff4">。</span></div><div class="t m0 x1 h2 yd ff3 fs0 fc0 sc0 ls0 ws0">1.<span class="_ _2"> </span><span class="ff1">两相步进电机<span class="_ _0"> </span></span>FOC<span class="_ _1"> </span><span class="ff1">矢量控制</span></div><div class="t m0 x1 h2 ye ff3 fs0 fc0 sc0 ls0 ws0">1.1.<span class="_"> </span>SVPWM<span class="_ _1"> </span><span class="ff1">控制算法</span></div><div class="t m0 x1 h2 yf ff3 fs0 fc0 sc0 ls0 ws0">SVPWM<span class="ff2">（</span>Space Vector Pulse Width Modulation<span class="ff2">）<span class="ff1">是一种广泛应用于电机控制的调制算法<span class="ff4">。</span></span></span></div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls0 ws0">本文采用<span class="_ _0"> </span><span class="ff3">SVPWM<span class="_ _1"> </span></span>控制算法实现对两相步进电机的控制<span class="ff2">，</span>通过对电机定子磁通矢量和转子磁通矢量进行</div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls0 ws0">合理控制<span class="ff2">，</span>实现精确的转速和位置控制<span class="ff4">。</span></div><div class="t m0 x1 h2 y12 ff3 fs0 fc0 sc0 ls0 ws0">1.2.<span class="_"> </span>DQ<span class="_ _1"> </span><span class="ff1">轴解耦控制</span></div><div class="t m0 x1 h2 y13 ff3 fs0 fc0 sc0 ls0 ws0">DQ<span class="_ _1"> </span><span class="ff1">轴解耦控制是<span class="_ _0"> </span></span>FOC<span class="_ _1"> </span><span class="ff1">矢量控制的关键技术之一<span class="ff4">。</span>本文在<span class="_ _0"> </span></span>SVPWM<span class="_ _1"> </span><span class="ff1">控制算法的基础上<span class="ff2">，</span>通过将电机电流</span></div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls0 ws0">转换到<span class="_ _0"> </span><span class="ff3">DQ<span class="_ _1"> </span></span>轴坐标系下<span class="ff2">，</span>实现了对定子电流和转子电流的解耦控制<span class="ff4">。</span>通过解耦控制<span class="ff2">，</span>可以独立控制电</div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls0 ws0">机的转速和转矩<span class="ff2">，</span>提高步进电机的动态性能和控制精度<span class="ff4">。</span></div><div class="t m0 x1 h2 y16 ff3 fs0 fc0 sc0 ls0 ws0">2.<span class="_ _2"> </span><span class="ff1">转速电流双闭环控制</span></div><div class="t m0 x1 h2 y17 ff3 fs0 fc0 sc0 ls0 ws0">2.1.<span class="_"> </span><span class="ff1">电流环采用<span class="_ _0"> </span></span>PI<span class="_ _1"> </span><span class="ff1">控制</span></div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls0 ws0">在<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>矢量控制中<span class="ff2">，</span>电流环的设计对整个控制系统的性能有重要影响<span class="ff4">。</span>本文采用<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制算法对电流</div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls0 ws0">环进行控制<span class="ff2">，</span>通过对电流误差进行积分和比例运算<span class="ff2">，</span>实现精确的电流闭环控制<span class="ff4">。</span></div><div class="t m0 x1 h2 y1a ff3 fs0 fc0 sc0 ls0 ws0">2.2.<span class="_"> </span><span class="ff1">转速环分别采用<span class="_ _0"> </span></span>PI<span class="_ _1"> </span><span class="ff1">和自抗扰<span class="_ _0"> </span></span>ADRC<span class="_ _1"> </span><span class="ff1">控制</span></div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls0 ws0">在<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>矢量控制的基础上<span class="ff2">，</span>本文进一步优化了转速环控制策略<span class="ff4">。</span>采用<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制算法进行转速环控制<span class="ff2">，</span></div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls0 ws0">通过对转速误差进行积分和比例运算<span class="ff2">，</span>实现对步进电机转速的精确控制<span class="ff4">。</span>同时<span class="ff2">，</span>引入自抗扰<span class="_ _0"> </span><span class="ff3">ADRC<span class="ff2">（</span></span></div><div class="t m0 x1 h2 y1d ff3 fs0 fc0 sc0 ls0 ws0">Active Disturbance Rejection Control<span class="ff2">）<span class="ff1">控制策略</span>，<span class="ff1">通过对系统的扰动进行预估和补偿</span>，</span></div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls0 ws0">提高步进电机的抗干扰能力和动态响应<span class="ff4">。</span></div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div>
100+评论
captcha
    相关资源
    类型标题大小时间
    ZIP直接横摆力矩分层控制器 上层LQR 下层数学规划 四轮独立驱动汽车转矩分配 DYC 与AFS集成控制器CarSim与Simul817.44KB7月前
    ZIP光伏发电及其水力发电matlab simulink仿真文件，有定步长和变步长两种，调节boost电路占空比控制输出电压，逆变部分6.7MB7月前
    ZIP这是一个使用.net 6 基于wpf 、OpencvSharp(opencv的.net wrapper)、ReactiveUI等4.47MB7月前
    ZIPLabVIEW编的上位机控制汇川PLCH5U和汇川伺服运动，海康威视相机视觉对位，LabVIEW通过网口控制汇川H5U和Ethe640.55KB7月前
    ZIPS7-200 PLC和组态王组态温度PID控制加热炉电阻炉组态王动画仿真，带PLC源代码,plc程序每一条都带着解释，组态王源830.15KB7月前
    ZIPMATLAB代码：考虑用户舒适度的冷热电多能互补综合能源系统优化调度关键词：用户舒适度 综合能源 PMV 优化调度 仿真平台379.97KB7月前
    ZIPmatlab复现，考虑综合需求响应和阶梯型碳交易机制的综合能源系统优化调度策略 关键词，综合能源系统，碳交易机制，综合需求响应619.33KB7月前
    ZIP两阶段鲁棒优化模型 多场景采用matlab编程两阶段鲁棒优化程序，考虑四个场景，模型采用列与约束生成（CCG）算法进行求解，场544.5KB7月前