基于自抗扰控制器ADRC的永磁同步电机FOC1.转速环采用ADRC，和传统PI进行对比来分析ADRC控制性能的优越性 对AD

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基于自抗扰控制器ADRC的永磁同步电机FOC 1.转速环采用ADRC，和传统PI进行对比来分析ADRC控制性能的优越性。 对ADRC中的ESO进行改进，进一步提高了ADRC性能。 2.提供算法对应的参考文献和仿真模型 仿真模型纯手工搭建，不是从网络上复制得到。 仿真模型仅供学习参考
<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/89761917/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/89761917/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">标题<span class="ff2">：</span>基于自抗扰控制器<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>的永磁同步电机<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>控制性能分析</div><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">摘要<span class="ff2">：</span>本文通过对比传统<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制器和基于自抗扰控制器<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>的永磁同步电机场向定向控制<span class="ff2">（<span class="ff3">FOC</span>）</span></div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">的转速环性能<span class="ff2">，</span>探讨<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制器在<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>中的优越性<span class="ff4">。</span>同时<span class="ff2">，</span>对<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>中的扰动估计器<span class="ff2">（<span class="ff3">ESO</span>）</span>进行</div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">改进<span class="ff2">，</span>进一步提高<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>的控制性能<span class="ff4">。</span>最后<span class="ff2">，</span>提供了算法对应的参考文献和手工搭建的仿真模型<span class="ff2">，</span>供</div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls0 ws0">学习参考<span class="ff4">。</span></div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls0 ws0">关键词<span class="ff2">：</span>自抗扰控制器<span class="ff3">(ADRC)<span class="ff2">，</span></span>永磁同步电机<span class="ff3">(PSM)<span class="ff2">，</span></span>场向定向控制<span class="ff3">(FOC)<span class="ff2">，</span></span>转速环<span class="ff2">，</span>扰动估计器</div><div class="t m0 x1 h2 y7 ff3 fs0 fc0 sc0 ls0 ws0">(ESO)<span class="ff2">，<span class="ff1">控制性能</span>，<span class="ff1">仿真模型</span></span></div><div class="t m0 x1 h2 y8 ff3 fs0 fc0 sc0 ls0 ws0">1.<span class="_"> </span><span class="ff1">引言</span></div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls0 ws0">永磁同步电机已经成为许多应用领域的首选<span class="ff2">，</span>它具有高效<span class="ff4">、</span>高功率密度和响应快的特点<span class="ff4">。</span>而在永磁同</div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls0 ws0">步电机的控制方法中<span class="ff2">，</span>场向定向控制<span class="ff2">（<span class="ff3">FOC</span>）</span>是一种被广泛采用的方法<span class="ff2">，</span>通过精确控制电机的电流<span class="ff4">、</span></div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls0 ws0">转速和转矩<span class="ff2">，</span>实现对永磁同步电机的高性能控制<span class="ff4">。</span></div><div class="t m0 x1 h2 yc ff3 fs0 fc0 sc0 ls0 ws0">2.<span class="_"> </span>FOC<span class="_ _1"> </span><span class="ff1">控制中的传统<span class="_ _0"> </span></span>PI<span class="_ _1"> </span><span class="ff1">控制器与<span class="_ _0"> </span></span>ADRC<span class="_ _1"> </span><span class="ff1">控制器对比分析</span></div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls0 ws0">传统<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制器是一种经典的控制方法<span class="ff2">，</span>已经在许多领域得到广泛应用<span class="ff4">。</span>然而<span class="ff2">，</span>在某些场景下<span class="ff2">，<span class="ff3">PI<span class="_ _1"> </span></span></span>控</div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls0 ws0">制器可能无法满足对电机控制的高要求<span class="ff4">。</span>针对这一问题<span class="ff2">，</span>基于自抗扰控制器<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>的永磁同步电机</div><div class="t m0 x1 h2 yf ff3 fs0 fc0 sc0 ls0 ws0">FOC<span class="_ _1"> </span><span class="ff1">逐渐受到了关注<span class="ff4">。</span></span></div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls0 ws0">为了分析<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制器在转速环中相对于传统<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制器的性能优越性<span class="ff2">，</span>我们进行了对比实验<span class="ff4">。</span>结果</div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls0 ws0">显示<span class="ff2">，</span>相比于<span class="_ _0"> </span><span class="ff3">PI<span class="_ _1"> </span></span>控制器<span class="ff2">，<span class="ff3">ADRC<span class="_ _1"> </span></span></span>控制器具有更好的鲁棒性和抗干扰能力<span class="ff4">。</span>其在转速跟踪精度<span class="ff4">、</span>响应速</div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls0 ws0">度和鲁棒性方面表现出优秀的性能<span class="ff4">。</span></div><div class="t m0 x1 h2 y13 ff3 fs0 fc0 sc0 ls0 ws0">3.<span class="_"> </span>ADRC<span class="_ _1"> </span><span class="ff1">中扰动估计器<span class="ff2">（</span></span>ESO<span class="ff2">）<span class="ff1">的改进及性能提升</span></span></div><div class="t m0 x1 h2 y14 ff3 fs0 fc0 sc0 ls0 ws0">ADRC<span class="_ _1"> </span><span class="ff1">控制器的核心在于扰动估计器<span class="ff2">（</span></span>ESO<span class="ff2">），<span class="ff1">它通过对扰动信号进行估计</span>，<span class="ff1">以实现对扰动的补偿<span class="ff4">。</span>然</span></span></div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls0 ws0">而<span class="ff2">，</span>在实际应用中<span class="ff2">，<span class="ff3">ESO<span class="_ _1"> </span></span></span>的性能可能受到一定的影响<span class="ff4">。</span></div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls0 ws0">为了进一步提高<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制器的性能<span class="ff2">，</span>我们对<span class="_ _0"> </span><span class="ff3">ESO<span class="_ _1"> </span></span>进行了改进<span class="ff4">。</span>具体来说<span class="ff2">，</span>我们提出了一种改进的</div><div class="t m0 x1 h2 y17 ff3 fs0 fc0 sc0 ls0 ws0">ESO<span class="_ _1"> </span><span class="ff1">算法<span class="ff2">，</span>通过在<span class="_ _0"> </span></span>ESO<span class="_ _1"> </span><span class="ff1">中引入改进项<span class="ff2">，</span>提高了扰动估计的准确性和鲁棒性<span class="ff4">。</span>仿真结果表明<span class="ff2">，</span>改进的</span></div><div class="t m0 x1 h2 y18 ff3 fs0 fc0 sc0 ls0 ws0">ADRC<span class="_ _1"> </span><span class="ff1">控制器相对于传统<span class="_ _0"> </span></span>ADRC<span class="_ _1"> </span><span class="ff1">控制器<span class="ff2">，</span>在抗干扰性能和跟踪精度方面都有显著的提升<span class="ff4">。</span></span></div><div class="t m0 x1 h2 y19 ff3 fs0 fc0 sc0 ls0 ws0">4.<span class="_"> </span><span class="ff1">算法参考文献和手工搭建的仿真模型</span></div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls0 ws0">为了方便读者进行参考和学习<span class="ff2">，</span>我们提供了<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制器在永磁同步电机<span class="_ _0"> </span><span class="ff3">FOC<span class="_ _1"> </span></span>中的相关参考文献<span class="ff4">。</span>这</div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls0 ws0">些参考文献包括了<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制器的理论基础<span class="ff4">、</span>算法推导以及应用案例等方面的内容<span class="ff2">，</span>能够帮助读者深</div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls0 ws0">入理解<span class="_ _0"> </span><span class="ff3">ADRC<span class="_ _1"> </span></span>控制器的原理和实现方法<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>
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