ZIP此模型为simulink模型,亮点为基于RBF神经网络的PID控制器用于控制PMSM的转速环 神经网络部分为用matlab编写 69.87KB

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资源文件列表:

此模型为模型亮点为基于神经网络的控制器.zip 大约有10个文件
  1. 1.jpg 35.95KB
  2. 2.jpg 51.85KB
  3. 基于神经网络的控制器在模型中的应用与探讨一.txt 1.89KB
  4. 基于神经网络的控制器在模型中的应用分.txt 2.04KB
  5. 基于神经网络的控制器在模型中的应用分析一引.txt 2.05KB
  6. 本文将围绕提供的短语展开讨论重点关注模型中基.doc 1.58KB
  7. 本文将围绕着基于神经网络的控制器用于控制的转速.txt 1.75KB
  8. 此模型为模型亮点为基于神经.html 4.55KB
  9. 此模型为模型亮点为基于神经.txt 231B
  10. 随着科技的发展和应用场景的不断拓展.txt 1.37KB

资源介绍:

此模型为simulink模型,亮点为基于RBF神经网络的PID控制器用于控制PMSM的转速环。 神经网络部分为用matlab编写的s-function模块,图一为神经网络部分代码,图二为转速突变的响应曲线,效果较好。
<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/89867619/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/89867619/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">本文将围绕提供的短语展开讨论<span class="ff2">,</span>重点关注<span class="_ _0"> </span><span class="ff3">Simulink<span class="_ _1"> </span></span>模型中基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器在</div><div class="t m0 x1 h2 y2 ff3 fs0 fc0 sc0 ls0 ws0">PMSM<span class="_ _1"> </span><span class="ff1">转速环控制中的应用<span class="ff4">。</span></span></div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">首先<span class="ff2">,</span>我们将简要介绍<span class="_ _0"> </span><span class="ff3">Simulink<span class="_ _1"> </span></span>模型<span class="ff2">,</span>并针对该模型中的亮点进行详细解析<span class="ff4">。<span class="ff3">Simulink<span class="_ _1"> </span></span></span>模型是一</div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">种基于图形化界面的建模环境<span class="ff2">,</span>它可用于开发<span class="ff4">、</span>仿真和分析各种动态系统<span class="ff4">。</span>这种模型的优势在于能够</div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls0 ws0">提供直观的视觉表达以及强大的仿真功能<span class="ff2">,</span>使得模型的设计与实现更加便捷高效<span class="ff4">。</span></div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls0 ws0">在<span class="_ _0"> </span><span class="ff3">Simulink<span class="_ _1"> </span></span>模型中<span class="ff2">,</span>我们的关注点是基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器在<span class="_ _0"> </span><span class="ff3">PMSM<span class="_ _1"> </span></span>转速环控制中的运</div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">用<span class="ff4">。<span class="ff3">PID<span class="_ _1"> </span></span></span>控制器是一种经典的反馈控制器<span class="ff2">,</span>用于调节系统的输出<span class="ff2">,</span>使其与期望的参考输入保持一致<span class="ff4">。</span></div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">而基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器则是通过引入神经网络模块来优化<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器的性能<span class="ff4">。</span></div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls0 ws0">我们使用<span class="_ _0"> </span><span class="ff3">Matlab<span class="_ _1"> </span></span>编写了一个<span class="_ _0"> </span><span class="ff3">S-function<span class="_ _1"> </span></span>模块<span class="ff2">,</span>该模块实现了基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器<span class="ff4">。</span></div><div class="t m0 x1 h2 ya ff3 fs0 fc0 sc0 ls0 ws0">S-function<span class="_ _1"> </span><span class="ff1">模块是<span class="_ _0"> </span></span>Simulink<span class="_ _1"> </span><span class="ff1">中的一种可扩展模块<span class="ff2">,</span>它能够以<span class="_ _0"> </span></span>C/C++<span class="ff1">代码的形式嵌入到</span></div><div class="t m0 x1 h2 yb ff3 fs0 fc0 sc0 ls0 ws0">Simulink<span class="_ _1"> </span><span class="ff1">模型中<span class="ff2">,</span>以实现对模型的自定义控制逻辑<span class="ff4">。</span></span></div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls0 ws0">图一展示了我们设计的基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器的代码片段<span class="ff4">。</span>在这段代码中<span class="ff2">,</span>我们首先定义</div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls0 ws0">了神经网络的结构和参数<span class="ff2">,</span>然后根据输入信号和网络权重计算出控制器的输出<span class="ff4">。</span>通过神经网络的优化</div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls0 ws0">训练<span class="ff2">,<span class="ff3">PID<span class="_ _1"> </span></span></span>控制器能够更准确地调节<span class="_ _0"> </span><span class="ff3">PMSM<span class="_ _1"> </span></span>的转速<span class="ff2">,</span>从而实现更稳定的控制效果<span class="ff4">。</span></div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls0 ws0">为了验证我们设计的基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器的性能<span class="ff2">,</span>我们进行了转速突变的响应曲线测试</div><div class="t m0 x1 h2 y10 ff2 fs0 fc0 sc0 ls0 ws0">,<span class="ff1">测试结果如图二所示<span class="ff4">。</span>从曲线上看</span>,<span class="ff3">PID<span class="_ _1"> </span><span class="ff1">控制器能够在转速突变时迅速调整输出</span></span>,<span class="ff1">使得系统在较短</span></div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls0 ws0">时间内恢复到期望的转速<span class="ff4">。</span>这表明基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器在<span class="_ _0"> </span><span class="ff3">PMSM<span class="_ _1"> </span></span>转速环控制中具有较好</div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls0 ws0">的效果和鲁棒性<span class="ff4">。</span></div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls0 ws0">总结而言<span class="ff2">,</span>本文基于<span class="_ _0"> </span><span class="ff3">Simulink<span class="_ _1"> </span></span>模型解析了基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制器在<span class="_ _0"> </span><span class="ff3">PMSM<span class="_ _1"> </span></span>转速环控制中</div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls0 ws0">的应用<span class="ff4">。</span>通过在<span class="_ _0"> </span><span class="ff3">Matlab<span class="_ _1"> </span></span>中编写<span class="_ _0"> </span><span class="ff3">S-function<span class="_ _1"> </span></span>模块<span class="ff2">,</span>我们成功实现了基于<span class="_ _0"> </span><span class="ff3">RBF<span class="_ _1"> </span></span>神经网络的<span class="_ _0"> </span><span class="ff3">PID<span class="_ _1"> </span></span>控制</div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls0 ws0">器<span class="ff2">,</span>并通过转速突变测试验证了其性能<span class="ff4">。</span>这种控制器的应用有望为<span class="_ _0"> </span><span class="ff3">PMSM<span class="_ _1"> </span></span>转速控制提供更为精确和稳</div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls0 ws0">定的解决方案<span class="ff4">。</span></div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls0 ws0">如需了解更多相关内容<span class="ff2">,</span>请联系我们<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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