Artificial Intelligence Resources in Control and Automation Engineering


Evelio J. González

DOI: 10.2174/97816080512671120101
eISBN: 978-1-60805-126-7, 2012
ISBN: 978-1-60805-589-0

Indexed in: Book Citation Index, Science Edition, Scopus, EBSCO.

This e-book focuses on the application of artificial intelligence resources in fields related to Control and Automation Engineering. T...[view complete introduction]
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Intelligent PID DC Motor Speed Control Alteration Parameters Using Particle Swarm Optimization

- Pp. 3-14 (12)

Boumediène Allaoua


In this paper, an intelligent controller of DC Motor drive is designed using Particle Swarm Optimization (PSO) method for formation of optimal Proportional-Integral-Derivative (PID) controller alteration parameters. The proposed approach has superior feature, including easy implementation, stable convergence characteristics and very good computational performances efficiency. The DC Motor Scheduling PID-PSO controller is modeled in MATLAB environment. Comparing with fuzzy logic controller using PSO intelligent algorithms, the planned method is more proficient in improving the speed loop response stability, the steady state error is reduced, the rising time is made suitable and the disturbances do not affect the performances of driving motor with no overtaking.

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