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Omron’s CK3M Programmable Multi-Axis Motion Controller

CK3M Programmable Multi-Axis Motion Controller

October 4, 2022

Omron’s next-generation motion controller packs PMAC’s superior motion control capability, multi-vendor connectivity and flexible development capability into its compact design.

Maximize your machine’s performance: Performing precise linear motor drive control and nanoscale positioning, the PMAC (Programmable Multi Axis Controller) has been appreciated by manufacturers of semiconductor manufacturing equipment and other leading-edge equipment.

Omron CK3M Programmable Multi-Axis Motion Controller
The CK3M removes constraints and barriers and maximizes your machine’s capabilities

Overview

Local axes for nanoscale precision
  • Ultra-high-speed synchronous control (50µs/5 axes)
  • Custom servo regulation algorithms
  • Flexibility on using multi-vendor actuators and encoders
  • Flexibility on programming on G-code, ANSI C or original programming language
  • EtherCAT for flexible configuration
  • Modular design and DIN rail mounting

Modular design

The modular design allows you to freely combine the CK3M with up to two axial interface units to enable a variety of applications.

Power PMAC IDE (Integrated Development Environment)

  • Based on Microsoft® Visual Studio®
  • ANSI C or original programming language
  • Easy tuning
  • Simple setting
  • Troubleshooting
  • Debugger

Complex kinematics

Complex mechanics can be controlled thanks to the matrix handling and the space conversion. Special applications like Hexapod telescope mirror positioning, can be easily operated by the kinematics handling functionality.

More Information

CK3M, Omron’s next-generation motion controller

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The Robotics Integrated Platform is the next revolutionary step in the SYSMAC ecosystem that seamlessly integrates the full Omron Fixed Robotics product line. Their one controller approach integrates robot control, in addition to sequence and motion control, to a single controller. This enables synchronized control of robots as well as other devices and results in higher performance compared to typical network based configurations. It also enables users to collect information on devices aligned to a common timeline which not only improves overall system response times and accuracy but also greatly aids in troubleshooting activities.

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