Performance analysis of fractional-order controller for pH neutralization process

Rastogi, Prakhar; Chatterji, S.; Karanjkar, D. S.

doi:10.1109/icpces.2012.6508116

Cited by 11 publications

(4 citation statements)

References 6 publications

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“…FO calculus relates to fractional dimension infnite memory and chaotic behavior. FO has found many application areas such as astronomy, control problems, and industrialization problems [40,41]. FO is found to be fulflled of articulating marvels owning long-range memory uncommon impacts that are challenging to handle through classical integer-order calculus.…”

Section: Overview Of Fractional Order Calculusmentioning

confidence: 99%

Fuzzy Fractional-Order PID Control for PMSG Based Wind Energy Conversion System with Sparse Matrix Converter Topology

Abdulrazaq

Vural

2022

International Transactions on Electrical Energy Systems

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Sparse matrix converter (SMC) is an indirect AC-to-AC power electronic converter that has a fictitious DC link between rectification and inversion stages in which neither a capacitor nor an inductor, as the storage element, is utilized. Due to this advantage, SMC is used in AC drives, marine thrust systems, aerospace industry, as well as in wind energy applications. On the other hand, permanent magnet synchronous generator (PMSG) is competitive in wind turbine applications due to their prominent features. In this work, a fuzzy fractional-order PID (FFOPID) controller is designed for a PMSG based wind energy conversion system (WECS) which employs a three-phase three-level SMC. The FFOPID controller is chosen to combine the salient features of the fractional-order calculus and fuzzy logic operations to enhance the dynamic response of classical PID controller with fixed gains. The simulation results taken under different case studies are analyzed in detail, which demonstrate the superiority of the designed FFOPID controller over classical PID control approach in tracking d- and q-axis current references of the SMC at the output. With the designed control approach, the smooth control of the real and reactive power injections into the grid from the WECS are ensured with acceptable transient response.

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Section: Overview Of Fractional Order Calculusmentioning

confidence: 99%

Fuzzy Fractional-Order PID Control for PMSG Based Wind Energy Conversion System with Sparse Matrix Converter Topology

Abdulrazaq

Vural

2022

International Transactions on Electrical Energy Systems

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“…The fractional-order calculus provides efficient tools for many situations related to the fractal dimension, infinite memory, and chaotic behavior. Recently, FOC attracted various researchers due to its application in electronics, Bioengineering, control theory, and many more areas [7][8][9][10].…”

Section: Mathematical Background Of Fractional Calculusmentioning

confidence: 99%

“…For example, in addition to the proportional ( ), 2 Mathematical Problems in Engineering integral ( ), and derivative ( ) parameters which comprise the integer-order PID, the FOPID controller has two more parameters an integrator order ( ) and a differentiator order ( ). Adding the integral and derivative terms of fractional order will improve system frequency response to be better and leads to design an improved control system [7][8][9][10]. The FOPID control scheme has certain merits whereby it offers five parameters to be tuned.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System

Al‐Dhaifallah

Kanagaraj

Nisar

2018

Mathematical Problems in Engineering

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This article presents a fuzzy fractional-order PID (FFOPID) controller scheme for a pneumatic pressure regulating system. The industrial pneumatic pressure systems are having strong dynamic and nonlinearity characteristics; further, these systems come across frequent load variations and external disturbances. Hence, for the smooth and trouble-free operation of the industrial pressure system, an effective control mechanism could be adopted. The objective of this work is to design an intelligent fuzzy-based fractional-order PID control scheme to ensure a robust performance with respect to load variation and external disturbances. A novel model of a pilot pressure regulating system is developed to validate the effectiveness of the proposed control scheme. Simulation studies are carried out in a delayed nonlinear pressure regulating system under different operating conditions using fractional-order PID (FOPID) controller with fuzzy online gain tuning mechanism. The results demonstrate the usefulness of the proposed strategy and confirm the performance improvement for the pneumatic pressure system. To highlight the advantages of the proposed scheme a comparative study with conventional PID and FOPID control schemes is made.

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“…Since it was introduced, FOPID control had been applied by many researchers, which turned out to produce better performances compared to the classical PID in many applications such as steam temperature control and dc motor and pH neutralization process respectively [11][12].…”

mentioning

confidence: 99%

Steam temperature control of essential oil extraction system using Fuzzy-Fopi controller

Tajjudin¹,

Ishak²,

Rahiman³

et al. 2018

J. Fundam and Appl Sci.

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This research proposed a closed fractional-order PI (FOPI) controller to overcome the problem. The controller will regulate the steam temperature at a desired level to protect the oil from excessive heat. Self capability of fuzzy rules was found to facilitate the tuning using only information about output error and rate of output error. The proposed controller was found to be more in terms of energy consumption and produce better response compared to self Essential oil quality assessment was also performed for citronella oil samples that extracted at 85ºC and 100ºC (uncontrolled). Significant improve the sample extracted at 85ºC based on physical and chemical evaluations using refractive index measurement and GC-MS analysis. his research proposed a closed-loop temperature control using a self order PI (FOPI) controller to overcome the problem. The controller will regulate temperature at a desired level to protect the oil from excessive heat. Self capability of fuzzy rules was found to facilitate the tuning using only information about output error and rate of output error. The proposed controller was found to be more in terms of energy consumption and produce better response compared to self Essential oil quality assessment was also performed for citronella oil samples that ºC (uncontrolled). Significant improvement had been observed in the sample extracted at 85ºC based on physical and chemical evaluations using refractive MS analysis. fuzzy control;

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Performance analysis of fractional-order controller for pH neutralization process

Cited by 11 publications

References 6 publications

Fuzzy Fractional-Order PID Control for PMSG Based Wind Energy Conversion System with Sparse Matrix Converter Topology

Fuzzy Fractional-Order PID Control for PMSG Based Wind Energy Conversion System with Sparse Matrix Converter Topology

Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System

Steam temperature control of essential oil extraction system using Fuzzy-Fopi controller

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