请问各位大佬我现在这个机械结构出现运动滞后应该怎么处理
data:image/png;base64,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三个蓝色的是导轨，浅橙色的部分出现运动滞后，请问各位大佬有做过类似的结构参考一下吗
"C:\Users\Admin\Desktop\演示文稿1.jpg" "C:\Users\Admin\Desktop\演示文稿1.jpg" 没图，言甚 没做过 补一个图片
运动滞后是什么意思？首先用三条导轨的话，只能有一条用来定位，另外两条以其为基准调整，然后浅蓝色的是丝杆吗，丝杆的位置应尽量在重心位置 Dreaming___snai 发表于 2025-4-27 17:14
运动滞后是什么意思？首先用三条导轨的话，只能有一条用来定位，另外两条以其为基准调整，然后浅蓝色的是丝 ...
浅蓝色是丝杆，运动滞后是说丝杆端和从动端速度不一致
翠翠翠H 发表于 2025-4-27 17:25
浅蓝色是丝杆，运动滞后是说丝杆端和从动端速度不一致
两个工作台不一起动是吧？给螺母做预紧吧，消间隙
Dreaming___snai 发表于 2025-4-27 17:29
两个工作台不一起动是吧？给螺母做预紧吧，消间隙
不一起动用了Gt的间隙
页:
[1]
2