Fractional order PI controller for nonlinear systems

Marshiana, D.; Thirusakthimurugan, P.

doi:10.1109/iccicct.2014.6992978

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…(Saravanakumar et al, 2017) Sarif, B. Mabu et al (Sarif et al, 2018) have done their work on various PID controllers to obtain suitable performances indices and time integral criteria for the superheated steam temperature system. (Marshiana and Thirusakthimurugan, 2014)…”

Section: Introductionmentioning

confidence: 99%

“…(Saravanakumar et al, 2017) Sarif, B. Mabu et al (Sarif et al, 2018 have done their work on various PID controllers to obtain suitable performances indices and time integral criteria for the superheated steam temperature system. (Marshiana and Thirusakthimurugan, 2014) Ravi, V. R. et al (Ravi and Thyagarajan, 2011) proposed a multivariable process based PID controller design for an interacting two first order conical tank system to determine its effectiveness on its operating ranges. (Ravi and Thyagarajan, 2014;Anandanatarajan et al, 2006) Kesavan et al (Suresh et al, 2014) worked on the real-time execution of a PID controller with conical region of hopper tank and optimized the performance with the error criteria for various tuning methods.…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED: Cuckoo Search Optimization based PI Controller Tuning for Hopper Tank System

Vinothkumar

Esakkiappan²

2022

Concurrent Engineering

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The paper work focuses on soft computing and Conventional controller tuning approach to design of PI controller, for a nonlinear hopper tank liquid level control system process Industries. The automation industries provide conventional techniques where it is impossible to maintain its settling time which motivates to do the research in this field. The system processes the combination of a conical and cylindrical tank for providing Multi-region based mathematical modelling to obtain the first order with delay time (FOPDT) process transfer function model. The Ziegler Nichols, Cohen-coon, Tyreus Luben, CHR (Chien, Hrones, and Reswick), IMC (Internal Model Control), Direct Synthesis, FOPI(Fractional Order PI) Conventional tuning formulae and Cuckoo Search Optimization (CSO) algorithm are used to optimize the servo regulatory responses of PI controller. The integral and proportional gain of the PI controller is said to produce the fastest settling time and reduces the error using performance indices and achieves Liquid Level control in hopper tank. Comparison is made for the various conventional controller tuning methods with Cuckoo Search Optimization tuning responses and identified to CSO-PI method offers enhanced Optimized Performance of settling time which was about 105.58 s which is relatively less while comparing to Conventional PI controller tuning methods for a different region based system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RETRACTED: Cuckoo Search Optimization based PI Controller Tuning for Hopper Tank System

Vinothkumar

Esakkiappan²

2022

Concurrent Engineering

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“…Sarif, B. Mabu et.al [6] have done their work on various PID controllers to obtain suitable performances indices and time integral criteria for the superheated steam temperature system. Marshiana, D et.al [7] developed the Fractional Order Proportional Integral Controller using the down order calculus method for a conical tank system. The nonlinear system designed performed by digital algorithm [13] based dead beat controller provides better performance when compared with the analogy type PID algorithm.…”

Section: Introductionmentioning

confidence: 99%

Soft Computing Based Tuning of PI Controller With Cuckoo Search Optimization For Level Control of Hopper Tank System

Vinothkumar

Esakkiappan²

2021

Preprint

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The paper work focuses on soft computing and Conventional tuning approach to design of PI controller, which provides a better sustainable performance for a nonlinear hopper tank system which is used in Wastewater treatment applications. The system processes the combination of a conical and cylindrical tank for providing Multi-region based mathematical modelling to obtain the first order with delay time (FOPDT) process transfer function model. The Ziegler Nichols, Cohen-coon, Tyreus Luben, CHR (Chien, Hrones, and Reswick), IMC (Internal Model Control), Direct Synthesis, FOPI( Fractional Order PI) Conventional tuning formulae and Cuckoo Search Optimization (CSO) algorithm are used to optimize the servo regulatory responses of PI controller. The integral and proportional gain of the PI controller is said to produce the fastest settling time and reduces the error using performance indices and achieves Liquid Level control in hopper tank. Comparison is made for the various conventional controller tuning methods with Cuckoo Search Optimization tuning responses and identified to CSO-PI method offers enhanced Optimized Performance while comparing to Conventional tuning methods for a region based system.

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PSO technique applied to sensorless field-oriented control PMSM drive with discretized RL-fractional integral

Ahmed

Adel

Taha

et al. 2021

Alexandria Engineering Journal

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Fractional order PI controller for nonlinear systems

Cited by 7 publications

References 3 publications

RETRACTED: Cuckoo Search Optimization based PI Controller Tuning for Hopper Tank System

RETRACTED: Cuckoo Search Optimization based PI Controller Tuning for Hopper Tank System

Soft Computing Based Tuning of PI Controller With Cuckoo Search Optimization For Level Control of Hopper Tank System

PSO technique applied to sensorless field-oriented control PMSM drive with discretized RL-fractional integral

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