Paper Info
Title
A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process
Abstract
AbstractThe two-coupled distillation column process is a physically complicated system in many aspects. Specifically, the nested interrelationship between system inputs and outputs constitutes one of the significant challenges in system control design. Mostly, such a process is to be decoupled into several input/output pairings loops, so that a single controller can be assigned for each loop. In the frame of this research, the Brain Emotional Learning Based Intelligent Controller BELBIC forms the control structure for each decoupled loop. The paper’s main objective is to develop a parameterization technique for decoupling and control schemes, which ensures robust control behavior. In this regard, the novel optimization technique Bacterial Swarm Optimization BSO is utilized for the minimization of summation of the integral time-weighted squared errors ITSEs for all control loops. This optimization technique constitutes a hybrid between two techniques, which are the Particle Swarm and Bacterial Foraging algorithms. According to the simulation results, this hybridized technique ensures low mathematical burdens and high decoupling and control accuracy. Moreover, the behavior analysis of the proposed BELBIC shows a remarkable improvement in the time domain behavior and robustness over the conventional PID controller.
Year
DOI
Venue
2016
10.1155/2016/8985425
Periodicals
Field
DocType
Volume
Particle swarm optimization,BELBIC,Control theory,PID controller,Computer science,Control theory,Decoupling (cosmology),Robustness (computer science),Control system,Robust control
Journal
2016
Issue
ISSN
Citations 
1
1687-5265
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Noha Abdelkarim100.34
Amr E. Mohamed221.84
A. M. El-Garhy310.71
Hassen Taher Dorrah4123.30