求助10组液压马达控制问题
公司改装一台设备，10个液压马达带动10个螺旋布料轴，螺旋布料轴转动推动水泥从对应的布料口落料，要求液压马达可以1组至10组不等同时动作，考虑到流量分配不同的话马达转速不一致，落料不均匀，所以想用10片同步马达并联连接10组液压马达，但是当只有1组马达动作时其余9组卸荷，这时同步马达会不会有增压的效果？（个人感觉10片同步马达不怎么靠谱）如果用2组5片的同步马达会不会效果好一些？串联连接液压马达？（个人感觉背压有点大）多路阀控制？大家有没有好点的办法，请不吝赐教！
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
好复杂，最简答的每个马达配一个节流阀调速呢？ 不会有增压效果 1-10组分别不同控制，这种工艺要求只能用比例阀+编码器反馈的形式。 给我液压马达的参数,输出扭矩和转速,同步精度,看看我是否有办法设计你所要求液压回路. 本帖最后由 dongst 于 2014-12-30 15:29 编辑
不会增压，2组5单元分流器比1件10单元的更不可靠，因为每个分流器的阻力也不同。
液压马达排量多少的？10个容积效率不可能都相同的，再加上分流器的精度误差，现场同时运动时每个马达转速各异。
用节流阀的话，运行一段时间后，温度变化或者油进了空气等等，就又得重新调节了，很麻烦，感觉治标不治本。
建议你用一个十组的同步马达来做这个系统，效果还不错，我们经常用这种同步马达，它没有增压效果！但是同步马达后面就换向阀就可以了，不用加溢流阀做安全阀，因为同步马达里面就有安全阀，同时多一个安全阀，就降低了同步马达的效果！ 这个用程控分流器最简单,只要程序修改一下就可以实现单个点动控制,也可以实现任意几联的同步控制,如果超高精度,配合传感器闭环控制 zjx0573 发表于 2014-12-31 09:42 static/image/common/back.gif
这个用程控分流器最简单,只要程序修改一下就可以实现单个点动控制,也可以实现任意几联的同步控制,如果超高精 ...
您有样本资料吗，114560035@qq.com
本帖最后由 英德康 于 2014-12-31 19:17 编辑
同步马达分流器见样本，通常最大8路。
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