Factory Automation

Improving productivity

Are you facing these challenges?

Large systems with insufficient
CPU performance

Lack of synchronization accuracy
at high speeds

Need to customize equipment for specific applications

Solutions

MX Controller

In large-scale automation systems, productivity depends not only on processing speed, but also on how effectively sequence, motion, and network control are integrated.

The MELSEC MX Controller is designed to directly solve these challenges through one unified control architecture.

High performance through multi-core MPU and parallel processing

High-speed multi-core MPU with double-precision floating-point processing for high-accuracy control

Sequence, motion, and network processing distributed across dedicated cores

Parallel processing architecture instead of conventional
sequential control

Reduced operation cycle time and increased system throughput

Monitor and optimize processing load by core

MX Controller enables:

Monitoring the processing load
of each CPU core

Distributing and adjusting load for
optimized control performance

Visualizing operation cycles and
processing status

As a result, the system maintains optimized performance even with a large number of axes.

CC-Link IE TSN network
Network platform for high-speed control

The MX Controller uses CC-Link IE TSN, an industrial network based on Time-Sensitive Networking (TSN),
enabling real-time control and IT communication on one unified network infrastructure.

With CC-Link IE TSN, the system achieves:

High-speed, high-accuracy synchronization across multiple
devices, including: servos, robots, inverters, HMIs, and I/O

Stable response time regardless of the number of
connected devices, even in large-scale systems

Integration of real-time control data and
IT communication data on the same network trunk

Value MX Controller brings to manufacturing

Improve productivity for
multi-axis systems

Stable control even at
high speeds

Flexible customization for diverse machines and applications

Reduced system complexity
and overall cost