Meilhaus RedLab E-1608 User`s Guide


Add to my manuals
28 Pages

advertisement

Meilhaus RedLab E-1608 User`s Guide | Manualzz

RedLab E-1608 User's Guide Functional Details

Signal connections

Analog input

You can configure the analog inputs for SE or DIFF mode. The input voltage range is software selectable for

±10 V, ±5 V, ±2 V, or ±1 V.

With SE mode, connect up to eight inputs to CH0x to CH3x . SE mode requires two wires:

 Connect one wire to the signal you want to measure (

CH#x ).

 Connect one wire to the analog ground reference (

AGND ).

With DIFF mode, connect up to four differential inputs to CH0H/CH0L to CH3H/CH3L . DIFF mode requires two wires plus a ground reference:

 Connect one wire to the high/positive signal (

CHxH ).

 Connect one wire to the low/negative signal (

CHxL ).

 Connect one wire to the analog ground reference (

AGND ).

Floating voltage source

When connecting DIFF voltage inputs to a floating voltage source, make sure the DIFF input channel has a DC return path to ground. To create this path, connect a resistor from each low channel input to an AGND pin. A value of approximately 100 kΩ can be used for most applications.

Leave unused input channels either floating or tied to an AGND terminal. Source impedances should be kept as small as possible to avoid settling time and accuracy errors.

Figure 4 shows DIFF channels 0-3 connected to a ground path resistor.

Figure 4. DIFF connections with ground path resistor

Channel-Gain queue

The channel-gain queue feature allows you to configure a list of channels, modes, and gains for each scan. The settings are stored in a channel-gain queue list that is written to local memory on the device.

The channel-gain queue list contains one or more channel numbers, modes, and range settings. You can configure up to 8 elements. The channels can be listed in any order, and can include duplicate channels for sampling at different ranges.

An example of a 4-element list is shown in the table Seite 14.

13

advertisement

Was this manual useful for you? Yes No
Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Related manuals

Download PDF

advertisement

Table of contents