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PID CONTROLLER By Group 5: SINTU KUMAR SHARMA 0017 AVISHEK MUKHERJEE 0018 MD ASHRAF ALAM KHAN 0019 DALI DAS 0020

PID Controller

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Page 1: PID Controller

PID CONTROLLER

By

Group 5:

SINTU KUMAR SHARMA 0017

AVISHEK MUKHERJEE 0018

MD ASHRAF ALAM KHAN 0019

DALI DAS 0020

Page 2: PID Controller

INTRODUCTION PID stands for Proportional (P),Integral

(I), Derivative (D) controller.

BASIC BLOCK DIAGRAM OF PID CONTROLLER

Page 3: PID Controller

HISTORY BEHIND PID

CONTROLLERPID controllers date to 1890s governor design.PID controllers were subsequently developed in automatic ship steering. One of the earliest examples of a PID-type controller was developed by Elmer Sperry in 1911.

Page 4: PID Controller

The first published theoretical analysis of a PID controller was by Russian American engineer Nicolas Minorsky, in (Minorsky 1922).

In the early history of automatic process control the PID controller was implemented as a mechanical device. These mechanical controllers used a lever, spring and a mass and were often energized by compressed air. These pneumatic controllers were once the industry standard.

History contd..

Page 5: PID Controller

PID controller is a generic control loop feedback mechanism (controller) widely used in industrial control systems.

A PID controller calculates an "error" value as the difference between a measured process variable and a desired setpoint.

a PID controller has historically been considered to be the best controller.

The controller attempts to minimize the error by adjusting the process control inputs.

The PID controller algorithm involves three separate constant parameters, and is accordingly sometimes called three-term control: the proportional, the integral and derivative values, denoted P, I, and D.

analysis

Page 6: PID Controller

The PID control scheme is named after its three correcting terms, whose sum constitutes the manipulated variable (MV). The final form of the PID algorithm is:

where

PID controller theory

Plot of PV vs time, for three values of Kp (Ki and Kd held constant)

Page 7: PID Controller

Proportional term

The proportional term produces an output value that is proportional to the current error value. The proportional response can be adjusted by multiplying the error by a constant Kp, called the proportional gain constant.

The proportional term is given by:

Page 8: PID Controller

Integral term

The contribution from the integral term is proportional to both the magnitude of the error and the duration of the error. The integral in a PID controller is the sum of the instantaneous error over time and gives the accumulated offset that should have been corrected previously. The accumulated error is then multiplied by the integral gain and added to the controller output.

The integral term is given by:

Page 9: PID Controller

Derivative term

The derivative of the process error is calculated by determining the slope of the error over time and multiplying this rate of change by the derivative gain Kd. The magnitude of the contribution of the derivative term to the overall control action is termed the derivative gain, Kd.

The derivative term is given by:

Page 10: PID Controller

Graphical Analysis

Plot of PV vs time, for three values of Ki (Kp and

Kd held constant)

Plot of PV vs time, for three values of Kd (Kp and Ki held constant)

Page 11: PID Controller

CL RESPONSE

RISE TIME

OVERSHOOT

SETTLING TIME

S-S ERROR

Kp Decrease Increase Small Change Decrease

Ki Decrease Increase Increase Eliminate

KdSmall

ChangeDecrease Decrease

Small Change

The Characteristics of P, I and D controllers

Page 12: PID Controller

Applications of PID PID controllers are

applicable to many control problems, and often perform satisfactorily without any improvements or even tuning.

It is used widely in the process industry, automation system, process dynamics and in particular the loop dead time.

PID Controller Design for a DC Motor

Page 13: PID Controller