"基于Carsim 2019版本的MPC算法与粒子群优化算法联合仿真的多步垂直泊车技术研究",多步垂直泊车Carsim与simulink联合仿真Carsim版本为2019控制为mpc算法规划为圆

jrjrGfVBxZIP多步垂直泊车与联合仿真版本为.zip  296.58KB

资源文件列表:

ZIP 多步垂直泊车与联合仿真版本为.zip 大约有13个文件
  1. 1.jpg 144.47KB
  2. 2.jpg 96.21KB
  3. 3.jpg 92.77KB
  4. 基于多步垂直泊车场景的与联合仿.txt 1.8KB
  5. 多步垂直泊车与联合仿真.html 9.91KB
  6. 多步垂直泊车与联合仿真一引言随着汽车.txt 1.86KB
  7. 多步垂直泊车与联合仿真研究一引言随着自.html 10.36KB
  8. 多步垂直泊车技术与联合仿真分析一引言随着汽车智能化.html 10.89KB
  9. 多步垂直泊车技术与联合仿真分析一引言随着自.doc 1.85KB
  10. 多步垂直泊车技术及其与与联合仿真.doc 2.34KB
  11. 多步垂直泊车技术及其与与联合仿真.txt 1.98KB
  12. 多步垂直泊车技术及其与与联合仿真的应用.html 10.57KB
  13. 多步垂直泊车技术及其与与联合仿真的应用一引言随着汽.txt 2.12KB

资源介绍:

"基于Carsim 2019版本的MPC算法与粒子群优化算法联合仿真的多步垂直泊车技术研究",多步垂直泊车Carsim与simulink联合仿真 Carsim版本为2019 控制为mpc算法 规划为圆弧直线,用粒子群算法进行了优化 ,多步垂直泊车; Carsim与simulink联合仿真; 2019版Carsim; mpc算法控制; 圆弧直线规划; 粒子群算法优化;,多步垂直泊车:Carsim-Simulink联合仿真(2019版MPC算法优化)

<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/90341905/2/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/90341905/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">多步垂直泊车技术及其与<span class="_ _0"> </span><span class="ff2">Carsim<span class="_ _1"> </span></span>与<span class="_ _0"> </span><span class="ff2">Simulink<span class="_ _1"> </span></span>联合仿真</div><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">一<span class="ff3">、</span>引言</div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">随着科技的飞速发展<span class="ff4">,</span>车辆自主泊车系统已逐渐成为汽车工程的重要研究方向<span class="ff3">。</span>本文旨在研究多步垂</div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">直泊车技术<span class="ff4">,</span>并探讨其与<span class="_ _0"> </span><span class="ff2">Carsim<span class="_ _1"> </span></span>和<span class="_ _0"> </span><span class="ff2">Simulink<span class="_ _1"> </span></span>联合仿真的应用<span class="ff3">。<span class="ff2">Carsim<span class="_ _1"> </span></span></span>作为一款功能强大的车辆</div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls0 ws0">仿真软件<span class="ff4">,</span>其<span class="_ _0"> </span><span class="ff2">2019<span class="_ _1"> </span></span>版本提供了丰富的模型和仿真工具<span class="ff3">。</span>在控制算法方面<span class="ff4">,</span>模型预测控制<span class="ff4">(<span class="ff2">MPC</span>)</span>算</div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls0 ws0">法的引入使得车辆的控制更为精准和灵活<span class="ff3">。</span>在规划路径方面<span class="ff4">,</span>本文采用圆弧直线路径规划<span class="ff4">,</span>并利用粒</div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">子群算法进行优化<span class="ff3">。</span></div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">二<span class="ff3">、</span>多步垂直泊车技术</div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls0 ws0">多步垂直泊车技术是一种先进的自动泊车技术<span class="ff4">,</span>其基本思想是通过多个步骤<span class="ff4">,</span>将车辆准确地停放在车</div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls0 ws0">位中<span class="ff3">。</span>此技术利用高精度的传感器和控制系统<span class="ff4">,</span>对车辆周围环境进行实时监测<span class="ff4">,</span>从而规划出最优的泊</div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls0 ws0">车路径<span class="ff3">。</span></div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls0 ws0">三<span class="ff3">、<span class="ff2">Carsim<span class="_ _1"> </span></span></span>软件及其与多步垂直泊车技术的结合</div><div class="t m0 x1 h2 yd ff2 fs0 fc0 sc0 ls0 ws0">Carsim<span class="_ _1"> </span><span class="ff1">是一款功能强大的车辆动力学仿真软件<span class="ff4">,</span>其<span class="_ _0"> </span></span>2019<span class="_ _1"> </span><span class="ff1">版本提供了丰富的车辆模型和仿真工具<span class="ff3">。</span></span></div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls0 ws0">通过<span class="_ _0"> </span><span class="ff2">Carsim<span class="_ _1"> </span></span>软件<span class="ff4">,</span>我们可以模拟真实的车辆环境<span class="ff4">,</span>对多步垂直泊车技术进行仿真测试<span class="ff3">。</span>在仿真过程</div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls0 ws0">中<span class="ff4">,</span>我们可以调整各种参数<span class="ff4">,</span>如车辆的动力学特性<span class="ff3">、</span>传感器性能等<span class="ff4">,</span>以获得最佳的仿真结果<span class="ff3">。</span></div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls0 ws0">四<span class="ff3">、<span class="ff2">Simulink<span class="_ _1"> </span></span></span>与<span class="_ _0"> </span><span class="ff2">MPC<span class="_ _1"> </span></span>算法的结合</div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">Simulink<span class="_ _1"> </span><span class="ff1">是<span class="_ _0"> </span></span>MATLAB<span class="_ _1"> </span><span class="ff1">的一个模块<span class="ff4">,</span>它提供了一个动态系统的建模<span class="ff3">、</span>仿真和分析环境<span class="ff3">。</span>在多步垂直泊</span></div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls0 ws0">车技术的控制算法中<span class="ff4">,</span>我们采用了<span class="_ _0"> </span><span class="ff2">MPC<span class="_ _1"> </span></span>算法<span class="ff3">。<span class="ff2">MPC<span class="_ _1"> </span></span></span>算法是一种强大的控制算法<span class="ff4">,</span>它可以处理多种约束</div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls0 ws0">条件<span class="ff4">,</span>并在预测的时间范围内进行最优控制<span class="ff3">。</span>通过<span class="_ _0"> </span><span class="ff2">Simulink<span class="_ _1"> </span></span>和<span class="_ _0"> </span><span class="ff2">MPC<span class="_ _1"> </span></span>算法的结合<span class="ff4">,</span>我们可以实现车</div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls0 ws0">辆的高精度控制<span class="ff4">,</span>从而保证多步垂直泊车技术的顺利进行<span class="ff3">。</span></div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls0 ws0">五<span class="ff3">、</span>圆弧直线路径规划及粒子群算法优化</div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls0 ws0">在多步垂直泊车技术的路径规划中<span class="ff4">,</span>我们采用了圆弧直线路径规划<span class="ff3">。</span>这种路径规划方式可以充分利用</div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls0 ws0">车辆的转向能力和动力学特性<span class="ff4">,</span>实现高效的泊车过程<span class="ff3">。</span>同时<span class="ff4">,</span>我们利用粒子群算法对路径进行优化<span class="ff3">。</span></div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls0 ws0">粒子群算法是一种优化算法<span class="ff4">,</span>它通过模拟鸟群<span class="ff3">、</span>鱼群等生物群体的行为<span class="ff4">,</span>实现全局最优解的搜索<span class="ff3">。</span>通</div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls0 ws0">过粒子群算法的优化<span class="ff4">,</span>我们可以得到更为合理的路径规划方案<span class="ff4">,</span>从而提高多步垂直泊车技术的效率<span class="ff3">。</span></div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls0 ws0">六<span class="ff3">、</span>联合仿真及结果分析</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