A proportional–integral–derivative controller (PID controller or three-term controller) is a control loop mechanism employing feedback that is widely used in industrial control systems and a variety of other applications requiring continuously modulated control. A PID controller continuously calculates an error value, e(t), as the difference between a desired setpoint (SP) and a measured process variable (PV) and applies a correction based on proportional, integral, and derivative terms (denoted P, I, and D respectively), hence the name.
Topic
Proportional-Integral-Derivative (PID) Controller
This topic includes the following resources and journeys:
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Experience
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Understanding PID Control, Part 5: Three Ways to Build a Model
Tuning a PID controller requires that you have a representation of the system you’re trying to control. This could be the physical hardware or a mathematical representation of that hardware...
See MoreUnderstanding PID Control, Part 1: What is PID Control?
Chances are you’ve interacted with something that uses a form of this control law, even if you weren’t aware of it. That’s why it is worth learning a bit more about what this control law is...
See MoreAdvances in feedforward control for measurable disturbances
The efficient compensation of load disturbances is one of the most important tasks in any control system. Most industrial processes are affected by disturbances and only feedback is commonly...
See MoreUnderstanding PID Control, Part 7: Important PID Concepts
Now that you ’ve gotten an overview of PID tuning techniques, this video moves on to discussing two important concepts in PID control: cascaded loops and discrete systems. Both concepts are...
See MoreTCLab PID Control
Implement a PID controller on the Temperature Control Lab hardware to drive the temperature from room temperature to 60 degrees C. This resource lets you attempt the design yourself first...
See MoreUnderstanding PID Control, Part 4: A PID Tuning Guide
It can be difficult to navigate all the resources that promise to explain the secrets of PID tuning. Some proclaim that PID tuning is an art that requires finesse and experience, while...
See MoreIntroduction: PID Controller Design
In this tutorial we will introduce a simple, yet versatile, feedback compensator structure: the Proportional-Integral-Derivative (PID) controller. The PID controller is widely employed...
See MoreImproving the Beginner's PID - Introduction
In conjunction with the release of the new Arduino PID Library Brett has released this series of posts that explain his PID code. He start's with what he call's “The Beginner’s PID.” He...
See MoreUnderstanding PID Control, Part 6: Manual and Automatic Tuning Methods
The previous video showed three different approaches to developing a mathematical model of your physical system. Now that we have this model, we can use it to tune a PID controller that will...
See MoreAdvances in feedforward control for measurable disturbances (in Spanish)
The efficient compensation of load disturbances is one of the most important tasks in any control system. Most industrial processes are affected by disturbances and only feedback is commonly...
See MoreFeedforward tuning rules for measurable disturbances with PID control: a tut...
Feedforward control can be considered as the most well-known control approach to deal with measurable disturbances. It started to be used almost 100 years ago, and since then it is being...
See MorePID Controller Implementation in Software
How to implement a PID controller in software using C, discussing theory and practical considerations. Demonstration of PID controller code using a custom flight simulator.
See MoreRegulatory PID (Polish)
W tym odcinku, opisze wam podstawy działania regulatorów PID.
See MorePeter Ponders PID - Introduction
The purpose of this video is to inform the viewer about what to expect. My videos go much deeper than the typical videos. They are geared for graduate st...
See MoreExperimental evaluation of feedforward tuning rules
This paper presents a practical comparison for some of the most relevant tuning rules for feedforward compensators that have been published in the recent years. The work is focused on the...
See MorePeter Ponders PID - Why PID with 2nd Derivative Gain?
If you have ever tuned a hydraulic system and wondered why PID control didn't work better than PI control the answer is here. Since the 1980s people have kn...
See MorePeter Ponders PID - Integrated Time Absolute Error - 4 Pole example
This video shows how to calculate the coefficients for a 4 pole ITAE and how to use the 4 pole ITAE to calculate closed loop controller gains.
See MorePeter Ponders PID-Fuzzy Logic vs PID
There are many academic and engineering papers showing how good fuzzy logic control is relative to PID control. Every FL vs PID paper I have seen compares...
See MoreSimple Examples of PID Control
In this video I continue the topic of PID control. We walk through a simple control system and visualize how each of the three paths, P, I, and D, all address specific problems that arise...
See MoreDirect Synthesis for PID Design Intro
Direct Synthesis for PID Design Intro
See MorePeter Ponders PID - T0P1 Part 4, Misc Topics
This video covers another way to compute symbolic gains, the difference between having the P gain act on the error or just the feedback, extending bandwidt...
See MorePeter Ponders PID, Natural Frequency vs Frequency of Acceleration
This video is intended for servo hydraulic system designers and those that program hydraulic servo systems but it does show how several of the techniques sho...
See MorePID Control - A brief introduction
In this video, I introduce the topic of PID control. This is a short introduction design to prepare you for the next few lectures where I will go through several examples of PID control....
See MoreDirect Synthesis for PID Controller Design
What tuning parameters should you choose for your controller? The Direct Synthesis Model is one method control engineers use today to evaluate controller par...
See MorePeter Ponders PID - Cascade Control Part1
I cover whether cascade control is necessary. Why there needs to be a feed back for every loop. How to calculate gains. Bode plots and ratio of the inner t...
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