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.
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Proportional-Integral-Derivative (PID) Controller
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Understanding PID Control, Part 1: What is PID Control?
11 min
Beginner
Video
Theory
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...
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Understanding PID Control, Part 5: Three Ways to Build a Model
13 min
Beginner
Video
Theory
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...
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Understanding PID Control, Part 7: Important PID Concepts
12 min
Beginner
Video
Theory
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...
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Understanding PID Control, Part 4: A PID Tuning Guide
12 min
Beginner
Video
Theory
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...
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Advances in feedforward control for measurable disturbances
35 min
Intermediate
Video
Theory
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...
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Understanding PID Control, Part 6: Manual and Automatic Tuning Methods
13 min
Beginner
Video
Theory
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...
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Advances in Feedforward Control for Measurable Disturbances (slides)
Intermediate
Presentation
Theory
These slides present several contributions to improve the feedforward control approaches when inversion problem arise: the ideal compensator may not be realizable due to negative delay...
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Advances in feedforward control for measurable disturbances (in Spanish)
60 min
Intermediate
Video
Theory
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...
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Feedforward tuning rules for measurable disturbances with PID control: a tut...
Intermediate
Peer Reviewed Paper
Theory
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...
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Control Design Onramp with Simulink
60 min
Beginner
Software
Demonstration
Learn the basics of feedback control design in Simulink®. Adjust the gains of a PID controller to change the dynamics of a physical system and get the closed-loop system behavior that you...
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Experimental evaluation of feedforward tuning rules
Advanced
Peer Reviewed Paper
Demonstration
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...
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Peter Ponders PID - Introduction
3 min
Beginner
Video
Theory
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...
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Regulatory PID (Polish)
18 min
Beginner
Video
Theory
W tym odcinku, opisze wam podstawy działania regulatorów PID.
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Peter Ponders PID - Controlling non-integrating single pole system. Part 1 ...
10 min
Beginner
Video
Theory
Part 1 shows why P only control shouldn't be used because the set point or target is never reached.Part 2 shows why I only control shouldn't be used because ...
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Peter Ponders PID. Second Order Plus Dead Time , SOPDT, Temperature Control,...
12 min
Beginner
Video
Theory
In this video I derive the equations for the controller gains and a low pass filter for a SOPDT system with a very long dead time To make the simulation mo...
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Direct Synthesis Method Numerator Dynamics Problem
10 min
Beginner
Video
Theory
I walk through how to design a PID feedback controller when given a second order process with numerator dynamics, using the Direct Synthesis Method.
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Peter Ponders PID - Controlling an Under Damp Mass and Spring System
24 min
Beginner
Video
Theory
Demonstrates:How to calculate the PID gains. The importance of the derivative gain. How to simulate the mass and spring systemControl limitations based on s...
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PID Control - A brief introduction
7 min
Beginner
Video
Theory
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....
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Understanding PID Controller
13 min
Beginner
Article / Blog
Theory
This blog post begins by walking through the basics and the theoretical part of the PID controllers. The controller is then tested, verified, and analyzed using MATLAB.
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Peter Ponders PID - Why PID with 2nd Derivative Gain?
27 min
Beginner
Video
Theory
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...
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Understanding PID Control, Part 3: Expanding Beyond a Simple Derivative
11 min
Beginner
Video
Theory
This video describes how to make an ideal PID controller more robust when controlling real systems that don’t behave like ideal linear models. Noise is generated by sensors and is present in...
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Peter Ponders PID - Integrated Time Absolute Error - 4 Pole example
17 min
Beginner
Video
Theory
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.
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Cascade Control Intro
8 min
Beginner
Video
Theory
How can we improve the disturbance rejection of our controllers using additional, relevant measurements? Tune in to find out!
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Peter Ponders PID-Fuzzy Logic vs PID
10 min
Beginner
Video
Theory
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...
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Control Bootcamp: Cruise Control Example with Proportional-Integral (PI) co...
23 min
Beginner
Video
Theory
In this video, we show that introducing integral control reduces the steady-state tracking error to zero in the cruise control example. We also use a more sophisticated model for the...
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