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本帖最后由 GGG 于 2019-9-16 16:18 编辑
AM600与IS620N多圈绝对值编码器应用指导
1、AM600绝对位置计算方法
1.1 、线性模式(Finite)
AM600的实际位置Axis.fActPosition是通过计算得出的,参与计算的变量有:
A:对象字典0x6064(用户实际反馈指令单位)。
B:Axis.iTurn(溢出次数,PLC记录的伺服相对运动距离大于2^32指令单位时加一,注意:不是读取伺服的多圈值)。
C:Axis.dwRatioTechUnitsDenom(比例单位分母)。
D:Axis.iRatioTechUnitsNum(比例单位分子)。
计算公式:fActPosition = ((iTurn *2^32 + 0x6064)* iRatioTechUnitsNum)/ dwRatioTechUnitsDenom
--------------------
例如:后台软件配置如下图所示(注意电子齿轮比为1:1)
通过后台软件监控当前Axis.fActPosition、A、B、C、D的值分别为:
((iTurn *2^32 + 0x6064)* iRatioTechUnitsNum)/ dwRatioTechUnitsDenom = ((1 * 2^32 +(-100663300)) * 1)/8388608
= (2^32/8388608) – 100663300/8388608
= 512 –12.000000476837158203125
= 499.999999523162841796875(与监控的Axis.fActPositon的值相同) --------------------
1.2、旋转模式(Modulo)
该模式下,AM600的实际位置Axis.fActPosition的计算方法是另一种,参与计算的变量有:
A: 对象字典0x6064(用户实际反馈脉冲单位)。
B: Axis.dwPosOffsetForResiduals (剩余位置偏移)。
C:Axis.dwRatioTechUnitsDenom(比例单位分母)。
D:Axis.iRatioTechUnitsNum(比例单位分子)。
计算公式:fActPosition = ((((DWORD)0x6064)- dwPosOffsetForResiduals) * iRatioTechUnitsNum / dwRatioTechUnitsDenom))
--------------------
例如:后台配置
通过后台软件监控当前Axis.fActPosition、A、B、C、D的值分别为:
![](http://data:image/png;base64,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)
fActPosition = ((((DWORD)0x6064)- dwPosOffsetForResiduals) * iRatioTechUnitsNum / dwRatioTechUnitsDenom))
= (1282891723–1275068416)* 5 / 8388608
= (2330216 * 45)/ 1048576
= 4.663054347038269(与监控的Axis.fActPositon的值相同)。
2、 AM600如何保存绝对位置信息
2.1、保存功能块
通过上面的计算方法,如果需要掉电保持数据,必须保存B、C、D栏的值。其中0x6064是从编码器读取的,不需要保存。而C、D栏的数据在下载程序的时候已存储到PLC。所以程序只要保存B栏数据:iTurn(溢出次数)、dwPosOffsetForResiduals (剩余位置偏移)。多圈绝对值编码器位置保存功能块提供了保存、加载B栏数据的功能,功能块如下图所示:
功能块的参数的解释如下:
2.2、保存功能块的使用
2.2.1、新建一个SMC3_PersistPosition类型的实例,命名SMC3_PersistPosition_0。
2.2.2、新建一个SMC3_PersistPosition_Data类型实例persistentData。变量类型为RETAIN PERSISTENT,如下图:
SMC3_PersistPosition_Data结构体变量如下
2.2.3、SMC3_PersistPosition_0实例的bEnable变量初始化为 TRUE,或者直接给输入端口赋值TRUE、Axis输入端为需要保存位置的轴。
2.2.4、新建保持变量文件,添加完成后,重新编译程序。
2.2.5、编译无误后,打开“PersistentVars”文件,在文件空白处右击选择“Add all instance paths(添加所有实例路径)”后,编译下载程序,绝对值编码器的数据保存功能已生效,如图:
注意:为了保证上电后SMC3_PersistPosition_0加载数据的正确性,需判断输出变量bPositionRestored的状态,如果数据读取正确,bPositionRestored的状态为TRUE。
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