PID Control: The Proportional Integral Derivative (PID) control refers to a feedback control method. It performs the combined actions of proportional, integral, and derivative controls. It is one of the most widely used process controller. The PID control is used to maintain a process variable within the limits of a specified set point. These process variables can be temperature, flow, level, or speed. It also allows the control process operations to take place outside the Central Processing Unit (CPU), which in fact, greatly reduces the additional burden of CPU. Tuning: The appropriate values of gain, rate, and reset time parameters should be determined by tuning to achieve the required control of a PID controller. The controller’s output will be changed by tuning parameters due to the deviation in the process variable from the set point, and thus, the value of process variable is also changed. Generally, three methods are used in PID controller tuning as follows: Manual tuning Auto tune Intelligent tuning.

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Chapter 14, Problem 15RQ

Program Plan Intro

PID Control:

The Proportional Integral Derivative (PID) control refers to a feedback control method.

It performs the combined actions of proportional, integral, and derivative controls.

It is one of the most widely used process controller.

The PID control is used to maintain a process variable within the limits of a specified set point. These process variables can be temperature, flow, level, or speed.

It also allows the control process operations to take place outside the Central Processing Unit (CPU), which in fact, greatly reduces the additional burden of CPU.

Tuning:

The appropriate values of gain, rate, and reset time parameters should be determined by tuning to achieve the required control of a PID controller.

The controller’s output will be changed by tuning parameters due to the deviation in the process variable from the set point, and thus, the value of process variable is also changed.

Generally, three methods are used in PID controller tuning as follows:

Manual tuning

Auto tune

Intelligent tuning.

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