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:
Type
Experience
Scope
Interactive Tool about PID tuning rules
Hundreds of PID design methods are available in literature. Many of them are very similar and sometimes it is not straightforward to understand their purposes. This interactive software tool...
See MorePeter Ponders PID - IAE,ITAE,ISE Performance indicators
Performance indicators can be used to compute closed loop pole locations. Only one gain parameter is required to move the pole locations closer to the origi...
See MoreControl Bootcamp: Cruise Control Example with Proportional-Integral (PI) co...
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...
See MoreDirect Synthesis Method Numerator Dynamics Problem
I walk through how to design a PID feedback controller when given a second order process with numerator dynamics, using the Direct Synthesis Method.
See MorePeter Ponders PID - Controlling non-integrating single pole system. Part 1 ...
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 ...
See MoreUnderstanding PID Control, Part 2: Expanding Beyond a Simple Integral
The first video in this series described a PID controller, and it showed how each of the three branches help control your system.That seemed simple enough and appeared to work. However, in...
See MorePeter Ponders PID. Second Order Plus Dead Time , SOPDT, Temperature Control,...
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...
See MorePeter Ponders PID - Controlling an Under Damp Mass and Spring System
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...
See MoreAn interactive feedforward tool for FeedForward Control
This interactive software tool is focused on basic and advanced concepts of feedforward control.
See MoreCascade Control Intro
How can we improve the disturbance rejection of our controllers using additional, relevant measurements? Tune in to find out!
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 MoreDesigning a PID Controller Using the Ziegler-Nichols Method
In this video we discuss how to use the Ziegler-Nichols method to choose PID controller gains. In addition to discussing the method and providing a Matlab i...
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 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 MoreStandard HW Problem #1: PID and Root Locus
A walk through of a typical homework problem using the root locus method to tune a PID controller. This is the first in what may be a series of homework style problems I'll cover. This is...
See MoreDirect Synthesis for PID Design Intro
Direct Synthesis for PID Design Intro
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 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...
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 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 MoreAuto Tuning a Small DC Motor in Torque Mode
I was really testing the picture in picture feature of the Screen Flow software I use to make these videos. I knew the auto tuning would work. I kept the v...
See MorePeter Ponders PID - Closed Loop Zeros
This video covers closed loop zeros, what causes zeros and the benefits and drawbacks of closed loop zeros.
See MorePeter Ponders PID - Cascade Control Part2
The inner loop pole locations and gains are calculated first so the inner loop pole locations are determined by the user. The outer loop poles are still pla...
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