Introduction to PID Loops
Offered By: Opto Video via YouTube
Course Description
Overview
Explore the fundamentals of proportional integral derivative (PID) loop control in this informative 55-minute webinar. Delve into the core concepts of PID loops, including their definition, real-world applications, and advantages. Learn about Opto 22 PID loops and gain practical insights on getting started with implementation. Discover essential configuration techniques, such as setting scan rates, understanding dead loop time, and choosing appropriate algorithms. Examine various PID parameters and their impact on loop performance, comparing poorly-tuned and well-tuned examples. Master different tuning methods, including open loop step testing, process oscillation, and educated guessing. Conclude with guidance on configuring PID loops and saving tuning parameters, equipping you with the knowledge to effectively implement and optimize PID control systems.
Syllabus
Intro
What exactly is a PID loop?
A human PID Loop
PID Examples
Opto 22 PID loops
Advantages
Getting Started
PID Loop configuration
Setting Scan Rate
What is dead loop time?
Calculating the dead loop time Plotting a disturbance will reveal the process dead loop time
Setting the scan rate
Choosing an Algorithm
Velocity B and C
ISA, Parallel, and Interacting
So which one should you use?
PID parameters (simple version)
Integral
A poorly-tuned loop
A well-tuned loop
Tuning methods
Open loop step test
Oscillate the process
Guess
Configuring a PID loop
Saving tuning parameters
Thank You
Taught by
Opto Video
Related Courses
Support Vector Machines in RDataCamp 【Kaggleで学ぼう】Python と Keras で学ぶディープラーニング開発入門
Udemy Support Vector Machines - A Friendly Introduction
Serrano.Academy via YouTube Stable Diffusion DreamBooth Guide - Optimal Classification Images Count Comparison Test
Software Engineering Courses - SE Courses via YouTube Understanding Parameter Spaces Using Local Optima Networks
Association for Computing Machinery (ACM) via YouTube