A novel technique to design cuckoo search based FOPID controller for AVR in power systems

Sikander, Afzal; Thakur, Padmanabh; Bansal, R.C.; Rajasekar, S.

doi:10.1016/j.compeleceng.2017.07.005

Cited by 121 publications

(107 citation statements)

References 18 publications

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“…During comparison as reported in Table 2 and as shown in Figure 4, the proposed TLBO-PID and TLBO-FOPID controllers have superior performance over the other optimized controllers for each case of . In comparison to PSO-PID [2,16], GA-PID [16], TLBO-PID [8], CAS-PID [14], CS-FOPID [16], CAS-FOPID [14], PSO-FOPID [10], it may be found that the proposed controllers exhibit better performance characteristics which are , , , objective function value, and only little worse . As a result, the proposed TLBO-FOPID controller has the ability to achieve the most accurate and most stable unit step response in comparison with all the PID and the other FOPID controllers in all cases (i.e.…”

Section: Transient Response Analysismentioning

confidence: 99%

Controller Tuning Approach With Tlbo Algorithm for the Automatic Voltage Regulator System

Ayyildiz

Karahan

2020

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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In this paper, an optimal parameter set tuning method for proportional-integral-derivative (PID) controller and fractional order PID controller is proposed using teaching-learning based optimization (TLBO) algorithm. During the optimization of the PID and FOPID controller parameters, an objective function consisting of overshoot, rise time, settling time and steady state error is formulated to achieve a satisfactory trade-off between the dynamic response characteristics. TLBO algorithm is used as the optimizer to find the best parameters of the proposed controllers. The designed PID and FOPID controllers are applied to an automatic voltage regulator (AVR) system. The performances of the proposed controllers are confirmed by comparing their results with those obtained from different optimized PID and FOPID controllers previously published in the literature for the same AVR system. The numerical simulations and comparisons show that the proposed controllers provide the better dynamic response characteristics as well as more robust to model uncertainties than the other different optimized controllers. The results obtained with the proposed controllers show a better trade-off between the set point tracking performance, robustness and stability.

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Section: Transient Response Analysismentioning

confidence: 99%

Controller Tuning Approach With Tlbo Algorithm for the Automatic Voltage Regulator System

Ayyildiz

Karahan

2020

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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“…The fine tuning of fractional order PID control is challenging compared to conventional PID control due to the existence of extra two parameters and to meet some special constraints like gain margin, phase margin, gain crossover frequency, and sensitivity conditions. Nevertheless, evident from a literature shows that the development of the meta-heuristic methods are created the tuning of constraints very ease [21][22][23] in last few years such as genetic algorithm [24,25], Big bang big crunch algorithm [26], particle swarm optimization [27], bacterial foraging optimization algorithm [22,23,28], artificial bee colony algorithm [29,30], stochastic multi-parameters divergence optimization [31], multi objective optimization design [32], cuckoo search algorithm [33,34], bacterial foraging chemotaxis gravitational search algorithm [35], differential evolution [36], chaotic ant swarm optimization [37], gases brownian motion optimization [38], bat algorithm [39], tabu search algorithm [40] than analytical approach.…”

Section: Introductionmentioning

confidence: 99%

Optimal tuning of FOPID controller based on PSO algorithm with reference model for a single conical tank system

Rajesh¹

2019

SN Appl. Sci.

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The fractional order proportional integral derivative controller (FOPID) replaces the conventional PID controller for its immense merits such as its simple structure, better set point tracking, high disturbance rejection, higher capability of handling model uncertainties in nonlinear and real time applications. This paper addresses the effectiveness of the FOPID controller on a level control of single conical system in real time. It is one of the classical nonlinear control problem and its shape not only contributes the proper mixing of liquids and also guarantee to drainage of solid wastes. This study, a dual loop controller is proposed and constructed with a master process and slave process for a level control of a single conical tank system. In the slave process, the output response obtained by the traditional PID controller combined with the conical tank reference model and compared with the output response of the master process. The obtained error signal is used to dynamically correct the parameters of the FOPID controller in the master process. The tuning of FOPID controller is a challenging task due to its presence of extra parameters and it efficiently carried out by particle swarm optimization (PSO) algorithm. The obtained result reveals that the Proposed PSO optimized FOPID controller with reference model demonstrated the better set point tracking, smooth controller response than other conventional integer order controllers.

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“…GOA; proton değişim zarı yakıt hücreleri yığınının elektrik karakterizasyonu [27], kanser sınıflandırması [28], dağıtılmış yörünge optimizasyonu [29], veri kümelenmesi [30], kısa süreli güç yükü tahmini [31] ve özellik seçimi [32] Son zamanlarda, PID kontrolörün performansını arttırmak için türev ve integral derecelerinin tamsayı olmadığı kesirli hesaplama kavramının kullanımına dair artan bir ilgi bulunmaktadır [33]. Podlubny tarafından önerilen kesir dereceli PID (FOPID) kontrolör [34,35], PID kontrolörün kesirli hesaplama kullanılarak genelleştirilmesidir. Bir FOPID kontrolörü beş parametreyle yani oransal kazanç, integral kazancı, türev kazancı, integral derecesi ve türev derecesi ile karakterize edilir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Çekirge optimizasyon algoritması kullanılarak çok makinalı güç sistemi için gürbüz kesir dereceli PID kararlı kılıcısı tasarımı

Hekimoğlu

2019

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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A novel technique to design cuckoo search based FOPID controller for AVR in power systems

Cited by 121 publications

References 18 publications

Controller Tuning Approach With Tlbo Algorithm for the Automatic Voltage Regulator System

Controller Tuning Approach With Tlbo Algorithm for the Automatic Voltage Regulator System

Optimal tuning of FOPID controller based on PSO algorithm with reference model for a single conical tank system

Çekirge optimizasyon algoritması kullanılarak çok makinalı güç sistemi için gürbüz kesir dereceli PID kararlı kılıcısı tasarımı

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