Advanced LabVIEW Programming

• Experience with LabVIEW and its core components
• An understanding of data types, control structures, and graphical programming

Audience

• Software engineers working with advanced LabVIEW applications
• Test automation developers integrating LabVIEW with industrial systems
• Engineers seeking to optimize and scale existing LabVIEW systems

LabVIEW is a graphical programming environment developed by National Instruments for building automated research, validation, and production test systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level LabVIEW users who wish to implement scalable architectures, communicate with external systems, and apply best practices for robust application development.

By the end of this training, participants will be able to:

• Implement scalable architectures such as parallel and queued state machines.
• Use shift registers effectively to maintain state and data flow.
• Create and manage custom data types including clusters and user-defined types.
• Communicate with PLCs via Ethernet/IP and handle structured data types.
• Use property nodes efficiently for UI and hardware control.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Review of LabVIEW Fundamentals

• Dataflow execution model and multithreading recap
• Variables, clusters, arrays, and common data types
• Working with loops and sequence structures

Advanced Control Structures

• Flat Sequence limitations and cycle control techniques
• Alternatives to flat sequences
• Proper error handling in advanced architectures

Parallel and Queued State Machines

• Creating scalable and responsive applications
• State machine design patterns
• Designing producer-consumer architecture

Effective Use of Shift Registers

• Using shift registers to store state data
• Scope management and best practices
• Avoiding race conditions and unintended overwrites

Advanced Data Types and Structures

• Working with nested clusters and user-defined types
• Best practices for typedefs and maintenance
• Handling multi-dimensional arrays

LabVIEW to PLC Communication

• Ethernet/IP communication with Allen-Bradley PLCs (ControlLogix/CompactLogix)
• Reading/writing clusters and user-defined data
• Handling multi-dimensional arrays over Ethernet/IP

Using Property Nodes Effectively

• Understanding property node scope and execution timing
• Property nodes for UI manipulation vs. hardware control
• Avoiding performance bottlenecks

Summary and Next Steps