Motor manufacturer Siboni has integrated CoreTigo’s IO-Link Wireless technology into its servo motors for industrial applications.
Source: Siboni/CoreTigo
The Siboni PL4 servo motor with CoreTigo’s IO-Link Wireless.
Siboni has added CoreTigo’s IO-Link Wireless technology to its PL4 servo motors to create a series of wireless, planetary gearbox, electronic drive brushless motors. These low-voltage, compact motors are reportedly energy efficient and offer control precision for industrial applications such as packaging machines, rotary tables, industrial robotics, logistics, mobile applications (including AGVs and LGVs) and smart transport tracks.
Features of these new motors include:
Real-time wireless control. Cable-free control of the servo motor reduces the complexity of deployment and maintenance. With a 5 msec latency, it offers the performance of a wired industrial-grade connection without the wires.
Advanced sensing capabilities. Because continuously rotating motors are subject to various effects, it’s crucial to keep track of their performance. Using IO-Link Wireless allows this without having to bring the production line to a halt for analysis. IO-Link Wireless provides the ability to transmit and analyze information from a variety of sensors, including temperature, vibration and humidity for performance optimization and predictive maintenance.
Wireless connectivity to any automation system. The use of IO-Link Wireless for Siboni’s PL4 servo motor series eliminates the need for complex wiring. Additionally, it allows seamless integration with various industrial communication protocols, such as Profinet, EtherNet/IP, EtherCAT and OPC UA.
Efficient data management. Pre-processing algorithms are implemented within the motor, limiting data payload and transmitting only essential data to the PLC. This prevents the PLC from traffic overload while allowing the full range of data to flow from the IO-Link Wireless Master to cloud and enterprise applications aggregating all the information.
Comprehensive analytics. Standard statistical algorithms such as RMS (rate-monotonic scheduling), variance, kurtosis and FFT (fast Fourier transform) can be implemented for advanced analytics and intelligent insights.
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