scholarly journals AN OPTIMIZED PID CONTROLLER FOR DEEP SPACE ANTENNA DC MOTOR POSITION CONTROL USING MODIFIED ARTIFICIAL FISH SWARM ALGORITHM

Author(s):  
Jibril Y. ◽  
Salawudeen A. T. ◽  
Salawu A. ◽  
Zainab M.
2012 ◽  
Vol 546-547 ◽  
pp. 278-283
Author(s):  
Jun Lin Zhu ◽  
Hui Liu ◽  
Zhi Bin Ren

The optimal design approach of the PID controller was proposed in this paper, based on Artificial Fish Swarm Algorithm (AFSA) for the matter of the optimization of the brushless DC motor controller. In the experiment, through the analysis of the basic principles of artificial fish swarm algorithm, appropriate performance index was selected as fitness function, specific design procedures were given to optimize parameters of PID controller, The experimental results indicate that: Artificial Fish Swarm Algorithm optimized PID controller enables the brushless DC motor speed control system response faster, small overshoot, effectively improve the dynamic performance of a brushless DC motor control system.


Author(s):  
Halima Yakubu ◽  
Suleiman Hussein ◽  
Gokhan Koyunlu ◽  
Essien Ewang ◽  
Sadiq Abubakar

Author(s):  
Halima Yakubu ◽  
Suleiman Hussein ◽  
Gokhan Koyunlu ◽  
Essien Ewang ◽  
Sadiq Abubakar

2019 ◽  
Vol 6 (4) ◽  
pp. 43
Author(s):  
HADIR ADEBIYI BUSAYO ◽  
TIJANI SALAWUDEEN AHMED ◽  
FOLASHADE O. ADEBIYI RISIKAT ◽  
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