2020
DOI: 10.3390/math8081378
|View full text |Cite
|
Sign up to set email alerts
|

Event-Based Implementation of Fractional Order IMC Controllers for Simple FOPDT Processes

Abstract: Fractional order calculus has been used to generalize various types of controllers, including internal model controllers (IMC). The focus of this manuscript is towards fractional order IMCs for first order plus dead-time (FOPDT) processes, including delay and lag dominant ones. The design is novel at it is based on a new approximation approach, the non-rational transfer function method. This allows for a more accurate approximation of the process dead-time and ensures an improved closed loop response. The main… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
15
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
2
1

Relationship

1
9

Authors

Journals

citations
Cited by 22 publications
(15 citation statements)
references
References 53 publications
0
15
0
Order By: Relevance
“…Although its history dates back as far as integer-order calculus, its progress over the last thirty years has been enormous and has become the object of great interest of not only of mathematicians but also other researchers in science and technology [15][16][17][18][19][20][21][22]. Fractional-order calculus has been used to generalize various types of controllers, including internal model controllers [23]. Biochemical processes modelling has been implemented using fractional calculus to facilitate the interpretation of its complex mechanisms that often are not intuitive to understand [24].…”
Section: Introductionmentioning
confidence: 99%
“…Although its history dates back as far as integer-order calculus, its progress over the last thirty years has been enormous and has become the object of great interest of not only of mathematicians but also other researchers in science and technology [15][16][17][18][19][20][21][22]. Fractional-order calculus has been used to generalize various types of controllers, including internal model controllers [23]. Biochemical processes modelling has been implemented using fractional calculus to facilitate the interpretation of its complex mechanisms that often are not intuitive to understand [24].…”
Section: Introductionmentioning
confidence: 99%
“…Hereditary properties and a description of memory make them superior to integer-order models [ 19 , 20 , 21 , 22 , 23 ]; moreover, fractional-order models can easily explore and demonstrate the dynamics between two points. These new ideas have been effectively used in modeling real-world problems in physics, engineering, biology, economics, and several other areas [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 ]. In advance studies and in recent research, fractional calculus produced more accurate information about the dynamics of a system; in particular the dynamical behavior of infectious diseases can be more accurately highlighted through fractional calculus.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the First Order Plus Dead Time (FOPDT) model is also a very common approximation which takes into account delays due to mass or energy transport, or limitations related to measuring and energy conversion devices [12]. The interest in the control of the FOPDT processes has inspired control strategies as the fractional order internal model controller (FO-IMC) from [13], where phase margin and gain crossover frequency specifications are employed to formulate a system of nonlinear equations which needs to be solved for the controller design.…”
Section: Introductionmentioning
confidence: 99%