Constrained Fuzzy Predictive Control Using Particle Swarm Optimization
Joint Authors
Ait Sahed, Oussama
Kara, Kamel
Hadjili, Mohamed Laid
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-28
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
A fuzzy predictive controller using particle swarm optimization (PSO) approach is proposed.
The aim is to develop an efficient algorithm that is able to handle the relatively complex optimization problem with minimal computational time.
This can be achieved using reduced population size and small number of iterations.
In this algorithm, instead of using the uniform distribution as in the conventional PSO algorithm, the initial particles positions are distributed according to the normal distribution law, within the area around the best position.
The radius limiting this area is adaptively changed according to the tracking error values.
Moreover, the choice of the initial best position is based on prior knowledge about the search space landscape and the fact that in most practical applications the dynamic optimization problem changes are gradual.
The efficiency of the proposed control algorithm is evaluated by considering the control of the model of a 4 × 4 Multi-Input Multi-Output industrial boiler.
This model is characterized by being nonlinear with high interactions between its inputs and outputs, having a nonminimum phase behaviour, and containing instabilities and time delays.
The obtained results are compared to those of the control algorithms based on the conventional PSO and the linear approach.
American Psychological Association (APA)
Ait Sahed, Oussama& Kara, Kamel& Hadjili, Mohamed Laid. 2015. Constrained Fuzzy Predictive Control Using Particle Swarm Optimization. Applied Computational Intelligence and Soft Computing،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1052216
Modern Language Association (MLA)
Ait Sahed, Oussama…[et al.]. Constrained Fuzzy Predictive Control Using Particle Swarm Optimization. Applied Computational Intelligence and Soft Computing No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1052216
American Medical Association (AMA)
Ait Sahed, Oussama& Kara, Kamel& Hadjili, Mohamed Laid. Constrained Fuzzy Predictive Control Using Particle Swarm Optimization. Applied Computational Intelligence and Soft Computing. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1052216
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052216