1. FUZZY LOGIC MICROCONTROLLER
IMPLEMENTATION FOR DC MOTOR
SPEED CONTROL
Presented by:
M.JAHIR HUSSAIN
1611110027

2. ABSTRACT
 This describes an alternative method to
implement a fuzzy logic speed control for
DC motor
 The controller can be implemented by using
only a small amount of components and
easily improved to be an adaptive fuzzy
controller

3. INTRODUCTION
 The major problem in applying a
conventional
algorithm in a speed controllers are the
effect of non linearity in a dc motor
 Many advanced model-based control
methods such as variable-structure control
and model reference control methods are
been developed to reduce these effect

4. INTELLIGENT TECHNIQUE HAS BEEN USED TO
IMPROVE OR TO CONTROL THIS NON
LINEARITY IN DC MOTOR
A FUZZY LOGIC CONTROLLER TECHNIQUE IS
USED
IT WAS USED BECAUSE IT IS PROVED
ANALYTICALLY TO BE EQUIVALENT NON LINEAR
PI CONTROLLER
BY USING FUZZY LOGIC WE CAN REDUCE THE
EFFECT OF NON LINEARITY IN A DC MOTOR AND
IMPROVE THE PERFORMANCE OF CONTROLLER

5. SYSTEM DESCRIPTION
Here a simple DC motor is used for motor control design as shown in
equation

6. DC MOTOR PARAMETERS

7. CONTROLLER DESIGN
The performance of the FLC is then improved by adjusting the rules and
membership function. The design procedures are described as follows
Procedure 1: Defining inputs , outputs ,and universe of discourse

8. Procedure 2: defining fuzzy membership function and rules
To perform fuzzy computation the input and output s must be converted
from crisp value to linguistic forms
IN THIS PAPER THE LINGUISTIC TERMS THAT USED TO
REPRESENT THE INPUT AND OUTPUT VALUES ARE DEFINEDN BY
SEVEN FUZZY VARIABLES AS SHOWN IN THE TABLE BELOW

9. INITIAL MEMBERSHIP FUNCTION

11. Procedure 3:Adjusting fuzzy membership functions
and rules
In order to improve the performance of the FLC, the rules and
membership functions are adjusted
The membership functions are adjusted by making the area of
membership function near ZE region narrower to produce final control
resolution
On the other hand making the area far from the ZE region gives the
faster response

12. CONTROLLER IMPLEMENTATION
HERE THE FUZZY MICROCONTROLLER MOTOROLA
68hc812A 4 used for the implementation it used 16-bit microcontroller with
full 16 bit data (A/D),4K EEPROM ,1K RAM , and multiple input/output ports

13. HARDWARE BLOCK DIAGRAM

14. Input condition
circuit

16. Conclusion
This paper has demonstrated the implementation of
a FLC for a velocity control of DC motor by using a fuzzy
logic microcontroller .The FLC is easy to implement and
requires a small amount of inexpensive components in the
compact size