This course is designed to familiarize participants with the basic principles of tuning control loops. After completing this course, participants should be able to describe how to prepare for tuning a loop and how to tune a loop manually using a systematic trial and error method, the Ziegler-Nichols open loop method, and the Ziegler-Nichols closed loop method. They should also be able to describe how tuning can be accomplished by the auto-tune function, by artificial intelligence features, and by tuning software.
Vector Solutions has a long history of providing industry-specific content for its customers. While this course and its content remain accurate and functional within our systems, the look and feel may not match our more modern offerings.
Describe tuning in relation to loop response.
Describe the types of process upsets.
Explain process delays.
Describe the effects of gain, reset, and rate on response curves.
Explain how to identify and assess asymmetry, non-linearity, and noise.
Explain how to correct or reduce hysteresis, stiction, and noise.
Distinguish between random tuning and systematic trial and error tuning.
Describe the precautions necessary when tuning by trial and error.
Explain the procedure for tuning using the Z-N open loop method.
Explain the procedure for tuning using the Z-N closed loop, or ultimate gain, method.
Describe how the auto-tune function tunes.
Describe artificial intelligence (fuzzy logic) tuning features.
Explain how to connect and run tuning programs.
Describe the options tuning programs may provide.
Industrial Libraries
- Industrial Complete
- Industrial Instrumentation & Control
- Industrial Maintenance
- Industrial Premium
