This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 Third UKSim European Symposium on Computer Modeling and Simulation
Optimal Multi-incremental Self Regulating Speed Controller for Industrial PMDC Motor Drive Systems
Athens, Greece
November 25-November 27
ISBN: 978-0-7695-3886-0
The paper presents the application of Particle Swarm Optimization PSO technique for the tuning of error-driven self-adjusting multi loop dynamic speed regulator for large industrial PMDC motor drives. Tri-loop dynamic error driven Multi-incremntal self regualting controller is simulated and tuned using Particle Swarm optimization PSO for high performance permanent magnet PMDC industrial motor drives. The proposed dynamic control scheme utilizes speed, current, dynamic momentum excursion error and current dynamic ripple errors as inputs to vary the firing delay angle a of the 6-pulse controlled Thyristor rectifier. The selection of optimal control gains is essential for effective robust dynamic tracking of different speed reference trajectories. The optimization process is based on minimizing either the system total error, the steady state error, settling time, rising time, and maximum overshoot.
Index Terms:
PMDC Motor Drive, Particle Swarm Optimization PSO, Tri loop, settling time, rising time, and maximum overshoot
Citation:
Adel M. Sharaf, Adel A.A. El-Gammal, "Optimal Multi-incremental Self Regulating Speed Controller for Industrial PMDC Motor Drive Systems," ems, pp.406-411, 2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009
Usage of this product signifies your acceptance of the Terms of Use.