scholarly journals Autotuning method for a fractional order controller for a multivariable 13C isotope separation column

2016 ◽  
Author(s):  
Cristina I. Muresan ◽  
Robin De Keyser ◽  
Clara M. Ionescu
Keyword(s):  
Fractional Order ◽  
Isotope Separation ◽  
13C Isotope ◽  
Separation Column ◽  
Fractional Order Controller

Fractional order controller design for 13C separation column

2011 ◽  
Author(s):  
Eva-Henrietta Dulf ◽  
Clement Festila ◽  
Francisc-Vasile Dulf ◽  
Cristina-Ioana Pop ◽  
Roxana Both
Keyword(s):  
Fractional Order ◽  
Controller Design ◽  
Separation Column ◽  
Fractional Order Controller

Fractional Model of the Cryogenic (13C) Isotope Separation Column

2014 ◽  
Vol 202 (12) ◽  
pp. 1600-1606 ◽  
Author(s):  
Eva-Henrietta Dulf ◽  
Francisc-Vasile Dulf ◽  
Cristina-Ioana Muresan
Keyword(s):  
Isotope Separation ◽  
Fractional Model ◽  
13C Isotope ◽  
Separation Column

scholarly journals Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm

2021 ◽  
Vol 4 (3) ◽  
pp. 50
Author(s):  
Preeti Warrier ◽  
Pritesh Shah
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Power Converters ◽  
Buck Converter ◽  
Optimization Techniques ◽  
Superior Performance ◽  
Computational Time ◽  
Optimization Approach ◽  
Response Characteristics ◽  
Fractional Order Controller

The control of power converters is difficult due to their non-linear nature and, hence, the quest for smart and efficient controllers is continuous and ongoing. Fractional-order controllers have demonstrated superior performance in power electronic systems in recent years. However, it is a challenge to attain optimal parameters of the fractional-order controller for such types of systems. This article describes the optimal design of a fractional order PID (FOPID) controller for a buck converter using the cohort intelligence (CI) optimization approach. The CI is an artificial intelligence-based socio-inspired meta-heuristic algorithm, which has been inspired by the behavior of a group of candidates called a cohort. The FOPID controller parameters are designed for the minimization of various performance indices, with more emphasis on the integral squared error (ISE) performance index. The FOPID controller shows faster transient and dynamic response characteristics in comparison to the conventional PID controller. Comparison of the proposed method with different optimization techniques like the GA, PSO, ABC, and SA shows good results in lesser computational time. Hence the CI method can be effectively used for the optimal tuning of FOPID controllers, as it gives comparable results to other optimization algorithms at a much faster rate. Such controllers can be optimized for multiple objectives and used in the control of various power converters giving rise to more efficient systems catering to the Industry 4.0 standards.

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