Product Details
Product Description
The Allen Bradley MicroLogix 1500 1764-LSP is a discontinued processor unit designed for modular PLC systems. It provides flexible communication options, built-in memory expansion, and support for multiple base units, making it suitable for mid-range automation tasks.
Technical Specifications
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Manufacturer: Allen Bradley
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Product Line: MicroLogix 1500
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Catalog Number / Model: 1764-LSP
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Product Type: MicroLogix Controller
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Weight: 0.44 lbs (0.20 kg)
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Function: Processor Unit
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Base Unit Compatibility: 1764-AWA, 1764-BWA, 1764-BXB
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Memory: 7.6 KB base; expandable with memory modules
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User Memory: Series B: 12K (8K Program, 4K Data); Series C: 14K (10K Program, 4K Data)
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Communication Ports: RS232, DH-485, Modbus, DF1, ASCII
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Communication Protocols: Channel 0 supports DF1, DH-485, Modbus, ASCII
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RS232 Topology: Point-to-point
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Compatible Memory Modules: 1764-MM1, 1764-MM2, 1764-MM3
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Compatible Real-Time Clock: 1764-RTC
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Digital Trim Potentiometers: 2 built-in
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Expansion I/O Capacity: Up to 512 points
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Power Supply: MicroLogix bus powered
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Output Sources: Relay port and DC FET
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Bus Current Draw: 380 mA
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Heat Dissipation: 1.9 W
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Enclosure Type: IP20
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Support for Removal Under Power: 28 operations
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Lifecycle Status: Discontinued / Obsolete
Application Scenarios
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Modular PLC systems requiring flexible communication protocols
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Mid-range machine control with expandable I/O capacity
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Legacy automation systems using MicroLogix 1500 architecture
FAQ
Q: What memory expansion options are available? A: Compatible with 1764-MM1, 1764-MM2, and 1764-MM3 modules.
Q: Which communication protocols are supported? A: DF1, DH-485, Modbus, and ASCII.
Q: How many I/O points can be expanded? A: Up to 512 I/O points.
Comparison with Similar Models
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1764-LSP: Standard processor, 12K–14K user memory, multiple communication protocols.
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1764-LRP: Enhanced processor with larger memory and advanced communication.
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1764-MM2: Memory expansion module for program and data storage.
Additional Information
- 100% Genuine Parts: All products are original and authentic, ensuring reliable industrial performance.
- 30-Day Refund Guarantee: Return any in-stock item within 30 days in original, unopened packaging for a full refund (excluding shipping and fees).
- 12-Month Warranty: Covers defects in materials or workmanship; excludes misuse, normal wear, or unauthorized modifications.
- Worldwide Shipping: We ship via USPS, UPS, FedEx, and DHL. Delivery times vary by country and may be subject to customs or import fees.
- Support & Contact: Technical and warranty assistance is available anytime. Contact us here: Contact.
- Purchase Guidance: Check product specifications and compatibility carefully before ordering to ensure proper application.
Tech & Buying Guide
Implementing FIFO and LIFO Data Sequencing in PLC Programming
Data management serves as a cornerstone of modern industrial automation. Whether tracking materials on a conveyor or managing batch sequences in a process, engineers frequently rely on sequential logic. Two primary structures—First-In-First-Out (FIFO) and Last-In-First-Out (LIFO)—form the bedrock of this data handling. Mastering these blocks allows programmers to optimize complex machine operations efficiently.
Evolving SCADA System Architectures in Industrial Automation
A robust Supervisory Control and Data Acquisition (SCADA) system serves as the heartbeat of modern industrial operations. Understanding SCADA system architecture is vital for engineers designing efficient control systems. These architectures have evolved from isolated, monolithic structures to highly interconnected, networked ecosystems. Choosing the right design requires balancing data visibility, processing power, and long-term scalability requirements.
Choosing the Right Controller: PLC vs. Motion Controller in Industrial Automation
Selecting the optimal control architecture is a foundational decision in industrial automation. Engineers must frequently choose between a Programmable Logic Controller (PLC) and a dedicated Motion Controller. While both systems manage machinery, their underlying design philosophies differ significantly, impacting performance, scalability, and system integration.