Nonlinear Control Output Signal Characterization

If the process gain makes large changes over the operating range, then tuning PID (or other linear) controllers is difficult.  If tuned for one region, the controller is undesirably sluggish...

Integral Wind-Up and Solution

What is integral wind-up and how velocity mode solves it.

A Statistical Noise Filter

A noise filter that uses Statistical Process Control (SPC) techniques to temper tampering

PID 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.

Interactive Tool for Loop Shaping understanding based on PID control

Loop shaping is a design method where it is attempted to choose a controller such that the loop transfer function obtains the desired shape. In this module the loop transfer function is...

Measurements, Transmission Signals, and Issues

This is an introduction to scaled information transmission signals (for example 4-20 mA, 3-15 psig, etc.), the actual sensed signals (like using orifice dP to infer flow rate, or temperature...

MATLAB Example: Waveform Analysis Using the Ambiguity Function

This example shows how to use the ambiguity function to analyze waveforms. It compares range and Doppler capabilities of several common pulsed waveforms such as the rectangular waveform, the...

Online Tuning using Simulink’s Closed-Loop PID Autotuner Block

Learn how to conduct an online tuning of a PI-speed controller using the MATLAB/Simulink Closed-Loop PID Autotuner Block. Tuned controller is validated on a Quanser QLabs Virtual QUBE-Servo...

Multifunction Phased Array Radar (MPAR) for Aircraft and Weather Surveillanc...

MIT Lincoln Laboratory and M/A-COM are jointly conducting a technology demonstration of affordable Multifunction Phased Array Radar (MPAR) technology for Next Generation air traffic control...

Cascade Control

What is Cascade Control and why use it?

First Order Plus Dead Time Tuning App for PI Controllers

The FOPTD_PI Tool is a Matlab-Interactive tuning tool of PI controllers for First Order PlusTime Delay processes. It can be used to teach basic control concepts based on a set of PI tuning...

MATLAB Example: Doppler Estimation

This example shows a monostatic pulse radar detecting the radial velocity of moving targets at specific ranges. The speed is derived from the Doppler shift caused by the moving targets. We...

Orifice Calibration

The ISO method for orifice design and calibration is grounded in the ideal square-root relation between pressure drop and flow rate, specifies the in-pipe structure for an orifice, and...

Bumpless Transfer and Tuning

Switching from MAN to AUTO mode or LOCAL to CASCADE or changing the controller integral time should not cause a change in the controller output, a bump.  But a primitive coding of the PID...

Feedforward Control

When and how to use Feedforward Control

Real-Time Software Implementation of Analog Filters

Modelling analog filters, discretisation, and implementation of the digitally-equivalent filters on a real-time, embedded system (STM32). Includes theory, DSP, firmware, and results.

Simulink example: Adaptive MPC Control of Nonlinear Chemical Reactor Using O...

This example shows how to use an Adaptive MPC controller to control a nonlinear continuous stirred tank reactor (CSTR) as it transitions from low conversion rate to high conversion rate.

A...

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...

Interpreting Lines on PFDs and P&IDs

Lines on a process flow diagram (PFD) indicate material flow.  In contrast, on a piping and instrument diagram (P&ID), the control overlay for the PFD, the lines represent information flow. ...

Cascade Control 2

An Implementation Recipe for Cascade Control

Ratio Control - the right and wrong approach

A discussion as to why the ratio should be the MV (controller output) not the CV.

MATLAB Example: Train Multiple Agents for Area Coverage

This example demonstrates a multi-agent collaborative-competitive task in which you train three proximal policy optimization (PPO) agents to explore all areas within a grid-world environment...

Understanding Valve Flow Characteristics

The response of flow rate through a control valve depends on the friction losses in the piping in which it is installed as well as the controller signal.  The installed characteristic (a...

Scaled Transmission Signals, Engineering Units, and Conversions

Information is transmitted in scaled signals (4-20 mA, 3-15 psig, 0-100%, digital counts), which are also deviations from some reference vales (such as psi gage is to psia).  But process...

Ratio Control and Scaled Signal Calculations

When and how to use Ratio Control and use Scaled Signals