Integrated fuzzylogic controller for a Brushless DC Servomotor system

Integrated fuzzylogic controller for a

Brushless DC Servomotor system

Ehab Al Hamayel Abdullah Abo Daqqah Supervised by Dr. Mohammad Al Janaideh

Outlines• Abstract

• Problem description.

• The Mathematical Model Of the system.

• The control system.

• Conclusion

Keywords: BLDC: Brushless DC servomotor FLC: Fuzzy logic controller IFLC: Integrated fuzzy logic controller

Abstract

• The proposed controller systems consist of two -input fuzzy integrated fuzzy logic controller (IFLC) for rotation speed control of brushless dc servomotor drive.

• The input for the controller are error e(t), and change in error (first derivative of error ce(t)) with a single-output.

• The IFLC is designed using FLC and proportional derivation integral (PID) controllers.

• The brushless dc motors (BLDC) are used in various applications such as defense, industries, robotics, etc. In these applications, the motor should be precisely controlled to give the desired performance.

• BLDC motors are relatively easy to control, and considered to be high performance motor that is capable of providing large amounts of torque over a vast speed range.

• The Torque vs. speed curve is shown in figure.1

Problem description

BLDC Motor Torque-Speed characteristics curve

The physical system structure

The mathematical modelThe voltage equation of motor can be described by

The electromagnetic torque is linearly proportional to the armature current and the equation is given by:

The load torque

And the motion equation can be expressed as:

The transfer function parameters

The Block Diagram and the unity feedback response

PID controller design

S-C: Kp=2.124, Ki=29.104 C-C: Kp=0.567, Ki=2845.865

PID Time response

Increasing Friction and inertia

FLC Controller

Cd k= 1*10^(-14), Cd k1= 1000, Sat=[-6000, 6000] (optimal response)

FLC Inputs fuzzy sets and Rules using Sugeno-type reasoning and Matlab Anfis tool box

FLC Controller response

IFLC Controller

Cd k= 1*10^(-14), Sat=[-1000, 1000], C-S: Kp= 30, KI= 88.107, Kd=1.00 C-C: Kp=1.00, Ki= 350.941 (optimal response)

IFLC Time response

Conclusion• The design and development of two-input FLC and IFLC for the

speed control of brushless DC servomotor is being developed. • Simulation results indicate that the IFLC provides the best

performance in comparison with PID and conventional FLC.

• By several further tuning attempts, we got a better responses for both CFLC and IFLC as shown below:

CFLC Response after several tuning attempts

IFLC Response after several tuning attempts

• The present system can further be improved by adding one more input variable (change of change of error cce). With three-input IFLC will get superior, more robust, faster, flexible, cost-effective, insensitive to the parameter variations control system , but it will require more computational time, so it’s necessary to use more powerful processing unit.

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