Design Robust Self-tuning FPIDF Controller for AVR System

Eltag, Khaled; Zhang, Baoyong

doi:10.1007/s12555-019-1071-8

Cited by 10 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are two main purposes in adding the second order derivative term to the classical PID controller. The first purpose is to modify the PID controller so that the general transfer function of the AVR system is in the structure described by Equation (17). 7 This allows observing the improvements in the transient responses of the AVR system.…”

Section: Pidd 2 Controllermentioning

confidence: 99%

“…Their analysis shows that CAS PID has a stronger control performance than GA PID 11 . Apart from these studies, tree seed algorithm (TSA), 12 MOL, 13 improved kidney‐inspired algorithm (IKA), 14 hybrid genetic algorithm‐bacterial foraging (hGA‐BF), 15 enhanced crow search algorithm (ECSA) 16 fuzzy logic (FL) 17 was introduced and implemented to solve the PID controller based AVR system problem. There are also studies in the literature involving PIDD 2 controllers.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Maiden application of fractional order PID plus second order derivative controller in automatic voltage regulator

Tabak

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

This paper proposes a maiden application of the fractional-order proportionalintegral-derivative plus the second-order derivative controller called FOPIDD 2 (PI λ D μ D 2 ) to achieve better transient response at a terminal voltage of automatic voltage regulator (AVR). Multi-verse optimizer (MVO) algorithm is used for tuning six optimization parameters of controller. MVO is a powerful optimization algorithm with great convergence speed and strong search mechanisms for an expanded number of decisions. The proposed FOPIDD 2 controller is compared with proportional-integral-derivative (PID), PID plus second-order derivative (PIDD 2 ), fractional order PID (FOPID) and filtered FOPID controllers obtained using different algorithms in both time domain and frequency domain. According to the results, FOPIDD 2 controller shows superior performance than compared studies in terms of transient response of terminal voltage of AVR. Additionally, frequency domain analysis shows that FOPIDD 2 controller presents satisfactory results. Finally, the system is subjected to a robustness test with changes in time constants and gain constants values. AVR system with FOPIDD 2 controller performs better in perturbed system parameters than compared controllers.

show abstract

Section: Pidd 2 Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Maiden application of fractional order PID plus second order derivative controller in automatic voltage regulator

Tabak

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…[6] presents a new approach in PID tuning methodology for a processing plant using GA, was a good reference. [7] proposed a FPIDF controller for the AVR, it was a helpful resource; it introduced a new point of view in designing a controller for a system, by creating initial solution using the TLBO and blogging them into the FPIDF controller. [8] Introduced a Genetic Algorithm based PID controller for a speed control system of a DC motor, gave a taste of what GAs can do to a control system.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the PID Controller by Using the Genetic Algorithm

Abdurrahman¹,

Nourain

Muhieeddeen

et al. 2022

FJES

View full text Add to dashboard Cite

This paper aims to develop a Proportional Integral Derivative (PID) controller for the Automatic Voltage Regulator (AVR) of the Synchronous Generator, Automatic Voltage Regulator is responsible for keeping the output voltage of the Generator constant and stable. The Automatic Voltage Regulator system can be represented by a fourth order Transfer Function. The parameters of the controller are evaluated by using the Genetic Algorithm tuning method, for this method the Genetic Algorithm Optimization toolbox in MATLAB is used. A PID controller and a PID Filter controller are developed in order to come up with the optimum controller design for the system. The performance of the Genetic Algorithm based controller has been compared with the classical Ziegler-Nichols based controller. The results show that the Genetic Algorithm based controller outperforms the Ziegler-Nichols based controller, the optimum controller design is achieved by the GA based PID filter controller.

show abstract