Tuning of fractional order PID controller for higher order process based on ITAE minimization

Maurya, Avinash; Bongulwar, M. R.; Patre, B. M.

doi:10.1109/indicon.2015.7443503

Cited by 26 publications

(5 citation statements)

References 12 publications

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“…For evaluating convergence criteria of GA evolution, the Integral Time Absolute Error (ITAE) is commonly applied to terminate the optimization problem. The goal of ITAE index is to minimize the absolute error and settling time for the optimal control structure [45]. In this paper, GA solution minimizes the ITAE criteria and gives the optimal values of AFC-GA control parameters.…”

Section: ) Genetic Algorithm Solutionmentioning

confidence: 99%

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Dang

Nguyen

2020

IEEE Access

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Section: ) Genetic Algorithm Solutionmentioning

confidence: 99%

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Dang

Nguyen

2020

IEEE Access

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“…In Equation 8, the notations used to represent the DC-link voltage starting time and time to reach a steady-state position during transients are t 0 and t 1 , respectively. Equation 7to (9) are based on the ITAE performance index, and its discrete version implementation is illustrated in Figure 4. As described earlier, ITAE is preferred in the proposed study because it typically results in the most conservative settings of a PI-compensator.…”

Section: Objective Functionmentioning

confidence: 99%

“…Note that this approach has been popular for so long due to its ability to offer salient features such as easy‐to‐implement and simple formulation. Nevertheless, it decides the ultimate gains of PI‐compensator when the PV system is stable, and therefore these indices will no longer remain optimal during the dynamic environment 9 . As a result, the filtering capability and dynamic performance of the PV system degrades.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, the filtering capability and dynamic performance of the PV system degrades. To alleviate this problem, several integral error criteria based tuning methods have been described in the literature as follows: (a) integral of the absolute value of the error (IAE) 9 ; (b) integral of the squared error (ISE) 10 ; and (c) integral of time‐weighted absolute error (ITAE) 11 . Amid the previously highlighted techniques, ITAE is preferred because it typically results in the most conservative settings of PI‐compensator 11 .…”

Section: Introductionmentioning

confidence: 99%

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Electronically coupled photovoltaic system with grey wolf optimizer enabled DC ‐link voltage control loop

Patel

Kumar

Gupta

2020

Int Trans Electr Energ Syst

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Stabilization of DC-link voltage is indispensable for the satisfactory operation of three-phase electronically coupled photovoltaic (PV) system. Practically, a challenge is to promptly and effectively settle the DC-link voltage with minimum peak magnitude and settling time to its pre-disturbance level when exposed to disturbances in the load and solar insolation level. The classical methods of DClink voltage stabilization employ a proportional-plus-integral (PI) compensator, and its gain coefficients are modulated through a cumbersome trial-and-error approach. Nevertheless, this approach does not yield superior results, especially under the wide interruptions in operating conditions due to nonlinear and timevarying characteristic of the PV module. These concerns have resulted in the emergence of multiple meta-heuristic techniques to optimally tune PI compensator gain coefficients. Nevertheless, most of these methods call for the ingrained paradox between computational efficiency and dynamic performance. Driven by this drawback, a proposal based on grey wolf optimizer (GWO-PI) is described in this paper to serve the following control targets: (a) be able to improve harmonic filtering with computational effectiveness, and (b) to ensure superior performance under exposure to interferences in the load and solar insolation level. Good agreement in MATLAB/Simulink simulation studies and experimental evaluations establish that the proposed GWO-PI outperforms the existing standardized optimization techniques such as particle swarm optimization (PSO-PI) and gravitational search algorithm (GSA-PI) in aspects of peak magnitude and settling time. Besides, it practically enables an improved harmonic filtering LIST OF SYMBOLS AND ABBREVIATIONS: K p , proportional gain coefficient of PI-controller; K i , integral gain coefficient of PI-controller; i LR , i LY , i LB , load currents; i L0 , zero-sequence component of the current; i Lα , i Lβ , i L0 , stationary reference frame currents; i Ld , active current component; i Lq , reactive current component; φ, grid voltage phase-angle; i * dc , d-axis reference current; i dc , DC-link VCL output; i Ldh , load harmonic current; i α , i β , i 0 , reference compensating currents; i Cα , i Cβ , i C0 , actual compensating current; V DC , measured DC-link voltage; V DCref , reference DC-link voltage; E SS , steady-state error; O f , objective function; M p , peak magnitude; T s , settling time; α, alpha; β, beta; δ, delta; ω, omega; D !

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“…Penerapan metode ITAE dilakukan dengan pertama-tama menentukan model matematika boost inverter tanpa pengendali PID dengan cara mencari fungsi alihnya [10], [12][13] [14][15] [16]. Persamaan (4) merupakan persamaan fungsi alih dari boost invetrer.…”

Section: Perancangan Pengendali Pid Metode Itae Untuk Boost Inverterunclassified

Pengendali Pid Pada Boost Inverter Satu Fasa Dengan Teknik Penyakelaran SPWM Bipolar Dan Unipolar

Kurniawan¹,

Hasanah

Subroto

2019

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Artikel ini menguraikan pengendalian dengan metode PID pada boost inverter satu fasa yang menggunakan teknik penyakelaran SPWM bipolar dan unipolar. Kinerja penggunaan kedua teknik penyakelaran dengan pengendali PID dibandingkan dengan jika tidak menggunakan pengendali PID. Metode Integral of Time Absolute Error (ITAE) diterapkan untuk mendapatkan nilai parameter pengendali PID. Penelitian dilakukan dengan metode simulasi menggunakan alat bantu perangkat lunak PSIM. Kinerja didasarkan pada nilai tegangan dan arus keluaran serta nilai total distorsi harmonisa. Hasil penelitian menunjukkan bahwa penggunaan pengendali PID dapat mengurangi nilai total distorsi harmonisa pada boost inverter satu fasa. Penggunaan pengendali PID pada teknik penyakelaran SPWM bipolar menghasilkan pengurangan nilai total distorsi harmonisa hingga sebesar 72,8%, sedangkan pada teknik penyakelaran SPWM unipolar diperoleh pengurangan sebesar hingga 76,7%. Hasil simulasi juga menunjukkan bahwa besar tegangan dan arus keluaran tetap dapat dipertahankan pada nilai yang diinginkan ketika terjadi gangguan.

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Tuning of fractional order PID controller for higher order process based on ITAE minimization

Cited by 26 publications

References 12 publications

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Electronically coupled photovoltaic system with grey wolf optimizer enabled DC ‐link voltage control loop

Pengendali Pid Pada Boost Inverter Satu Fasa Dengan Teknik Penyakelaran SPWM Bipolar Dan Unipolar

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