2011
DOI: 10.1016/j.isatra.2011.02.002
|View full text |Cite
|
Sign up to set email alerts
|

Fractional order model reduction approach based on retention of the dominant dynamics: Application in IMC based tuning of FOPI and FOPID controllers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
18
0

Year Published

2013
2013
2024
2024

Publication Types

Select...
4
2
2

Relationship

1
7

Authors

Journals

citations
Cited by 87 publications
(19 citation statements)
references
References 33 publications
(50 reference statements)
1
18
0
Order By: Relevance
“…Internal Model Control (IMC) based tuning was proposed by M. Tavakoli-Kakhki and M. Haeri in 2010 [52] . An IMC based fractional PID controller is represented as: (13) where, T i is the integral time and T d is the derivative time.…”
Section: Different Forms Of Fractional Order Controllersmentioning
confidence: 99%
“…Internal Model Control (IMC) based tuning was proposed by M. Tavakoli-Kakhki and M. Haeri in 2010 [52] . An IMC based fractional PID controller is represented as: (13) where, T i is the integral time and T d is the derivative time.…”
Section: Different Forms Of Fractional Order Controllersmentioning
confidence: 99%
“…This is due to the fact that the fractional calculus has a great potential to improve the traditional methods in different fields of control systems; such as controller design [11][12][13][14][15][16][17][18][19][20] and system identification [21][22][23][24][25]. Fractional order concepts are employed in simple and advanced control methodologies; such as set-point weighted fractional order PID (SWFOPID) controller [11,19], phase lead and lag compensator [14,26], internal model based fractional order controller [27], Smith predictor based fractional order controller [18,21], optimal fractional order controller [28,29], robust fractional order control systems [30][31][32], fuzzy fractional order controller [33], fractional order sliding mode controller [34], fractional order switching systems [35], and adaptive fractional order controller [17,36]. It has been shown that the fractional order controllers are more effective in some industrial applications [12,15,20].…”
Section: Introductionmentioning
confidence: 99%
“…They are preferred because of the advantages like better disposal of solids, easy mixing and complete drainage of solvents such as viscous liquids in industries. In spherical tank non-linearity exists due to its variation in cross-sectional area [3]. Because of the non-linearity, level control is a challenging task in spherical tank and it demands for implementation in real time.…”
Section: Introductionmentioning
confidence: 99%