can operate either as a standard EtherCAT slave using a CANopen over EtherCAT
(CoE) protocol, or it can be programmed to execute complex motion programs
directly at drive level, using the built-in motion controller and the EasyMotion
Studio platform. EasyMotion Studio automatically generates all the TML
instructions. Using TML programming, you can reduce the development time of
complex applications by distributing the intelligence between master and drive:
you can call complex motion functions, pre-stored in the drive memory, or
trigger their execution via I/O signals.
is suitable for the operation of brushless, dc or linear motors up to
640 W continuous / 1.3 kW peak voltages. Adding EtherCAT
compatibility to the IDM680 drive provides a potent combination of speed and various
operating modes, including: position or speed
profiles (trapezoidal, S-curve); 3rd order PVT and 1st
order PT interpolation; electronic gearing and camming; analogue or digital external
reference; open / closed loop and microstepping (up to 256 ÎĽsteps/step) for
drive is equipped with various sensors: digital and linear Halls, SSI, EnDAT,
BiSS, sine/cosine incremental encoders and resolver. PC/PLC motion libraries
are available for the drive's quick industrial integration.
with EtherCAT is useful to motion control applications that require high data
transfer rates, short data processing times and high synchronicity with low
jitter, such as plant or building automation industries.
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For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.