Model Type:Ethernet-based Controller
Processor Speed:High Performance Microcontroller
Memory Capacity:1MB
Ports:Dual Ethernet, 2 x EtherNet/IP
I/O Channels:16 Digital Inputs, 16 Digital Outputs
Analog Inputs:4 Universal Analog
Analog Outputs:2 Universal Analog
High-speed Counters:4
Expansion Capacity:4 I/O Expansion
Ethernet IP Nodes:16
CIP Motion Support:4 Axis
Kinematics Function:Included
Power Supply:24V DC
Dimensions:Compact Design for Easy Integration
Certifications:UL, CE, CSA
Operating Temperature:-40°C to +70°C
The Allen-Bradley 1969-L36ERM CompactLogix 5370 L3 Controllers offer unparalleled control and connectivity, ideal for complex industrial environments. These controllers are equipped with a dual-core processor for efficient operation and are capable of managing up to 256 digital inputs and outputs, ensuring flexibility and scalability.
With support for EtherNet/IP and Modbus TCP/IP communication protocols, these controllers facilitate seamless integration with various devices and systems, enhancing operational efficiency. They are specifically designed for high-performance applications in industries such as food processing, petrochemicals, pulp and paper, and automobile manufacturing.
Featuring 16 4-20mA current loop inputs and 8 0-10V voltage inputs, the 1969-L36ERM offers precise control over process variables. This makes it an excellent choice for applications requiring accurate measurement and control, such as temperature, pressure, and flow rate monitoring.
The compact size and lightweight design of these controllers enable easy installation and maintenance, making them suitable for a wide range of industrial settings. Their robust construction ensures reliability in harsh environments, while their low power consumption contributes to energy efficiency.
Equipped with 4MB of memory, these controllers provide ample space for storing programs and data, ensuring smooth operation even in resource-intensive applications. The Allen-Bradley 1969-L36ERM CompactLogix 5370 L3 Controllers are the perfect solution for optimizing industrial processes, improving productivity, and reducing downtime.
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