A novel optimal PID plus second order derivative controller for AVR system

Sahib, Mouayad A.

doi:10.1016/j.jestch.2014.11.006

Cited by 125 publications

(132 citation statements)

References 28 publications

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“…The ability of the controller to tolerate uncertainties existed in some parameters of the system can be evaluated by using the robustness analysis [19]. The PID controller that is designed for the cruise control system is tested with the presence of some parameters uncertainties.…”

Section: Robustness Analysismentioning

confidence: 99%

PID Controller Design for Cruise Control System using Particle Swarm Optimization

Abdulnabi

2017

ijci

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This paper presents a design of a Proportional-Integral-Derivative (PID) controller for automobile cruise control system. The parameters of the PID controller, which are the proportional ( ), derivative ( ) , and integrator ( ), have been selected using Particle Swarm Optimization (PSO) algorithm. In this study, the overall system performance has been compared with other predesigned controllers (conventional PID, Fuzzy logic PID, state space, and Genetic algorithm based PID controller). The simulation result illustrates that PSO based PID controller gives the best response in terms of settling time, rise time, peak time, and maximum overshot. The robustness analysis shows that the system is robust despite the deviations in some of the system parameters.

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Section: Robustness Analysismentioning

confidence: 99%

PID Controller Design for Cruise Control System using Particle Swarm Optimization

Abdulnabi

2017

ijci

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“…Nilai konstanta penguatan generator memiliki rentang nilai dari 0.7000 sampai 1.0000 sedangkan nilai konstanta waktu generator memiliki nilai rentang nilai dari 1.0000 detik sampai 2.0000 detik pada keadaan beban nol sampai keadaan beban penuh. Untuk pemodelan matematis sensor dinyatakan dalam bentuk persamaan (4) berikut [7][8]…”

Section: Pendahuluanunclassified

Analisa Kestabilan Sistem Kendali Eksitasi Generator Tipe Arus Searah Tanpa dan dengan Pengendali Berdasarkan Pendekatan Tanggapan Frekuensi

Laksono

2016

JNTE

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Abstrak-Jurnal ini membahas tentang analisa kestabilan sistem kendali eksitasi generator tipe arus searah tanpa dan dengan pengendali. Analisa kestabilan yang dilakukan meliputi analisa kestabilan mutlak, analisa kestabilan relatif dan analisa kestabilan internal. Untuk analisa kestabilan mutlak ditunjukkan dengan menggunakan nilai margin penguatan dan nilai margin fasa. agar performansi sistem memuaskan maka diusahakan nilai margin penguatan ini besar dari 6 dB dan nilai margin fasa berkisar antara 30 0 sampai 60 0 . Untuk kestabilan relatif ditunjukkan dengan nilai puncak resonansi. Sistem akan bersifat stabil relatif jika nilai puncak resonansi berkisar antara 1.10 s/d 1.50. sistem akan bersifat stabil internal jika semua fungsi alih lingkar tertutup dari masukan ke keluaran internal bersifat stabil. Untuk indikator kestabilan internal ini ditunjukkan oleh angka 0 jika sistem bersifat stabil internal dan angka 1 jika sistem bersifat tidak stabil internal. Untuk pengendali yang digunakan terdiri dari pengendali Proporsional (P), pengendali Proporsional Integral (PI), pengendali Proporsional Diferensial (PD) dan pengendali Proporsional Integral Diferensial (PID). Pengendali -pengendali tersebut dirancang dengan pendekatan tanggapan frekuensi. Hasil yang diperoleh bahwa tanggapan tegangan sistem eksitasi generator tipe arus searah dengan pengendali Proporsional (P), pengendali Proporsional Integral (PI), pengendali Proporsional Diferensial (PD) dan pengendali Proporsional Integral Diferensial (PID) bersifat stabil mutlak, stabil relatif dan stabil internal.Kata kunci : sistem eksitasi, kestabilan mutlak, kestabilan relatif, kestabilan internal, tanggapan frekuensi Abstract-This journal discussed the stability analysis of generator excitation control system in type of direct current without and by using controller. The stability Analysis was conducted on absolute stability analysis, relative stability analysis and internal stability analysis. For the absolute stability analysis was demonstrated by using gain margin and phase margin value. In order to get satisfied system performance so that cultivated gain margin value was greater than 6 dB and phase margin value was in ranges from 30 0 to 60 0 . For the relative stability was shown by the peak value of resonance. The system would be relatively stable if the peak value of resonance range was between 1:10 to 1:50. The system would be internal stable if all closed circle transfer functions from input to internal output was stable. For internal stability indicator was shown by number 0 if the system is internally stable and number 1 if the system was internally unstable. For controllers used consisted of Proportional controller (P), Proportional Integral controller (PI), Proportional Differential controller (PD) and Proportional Integral Differential controller (PID). The controllers were designed with a frequency response approach. The results showed that the voltage response of generator excitation system type direct current with Proportional controller (P), Propo...

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“…A number of tuning methods have been used in the literature for optimizing the parameters of the PID and FOPID controllers. (–) Out of the existing tuning methods, recently, swarm intelligent algorithms have gained increasing popularity among researchers on account of their outstanding performance on many practical problems . Swarm intelligence–based optimization algorithms are inspired from the behaviors of living things in nature.…”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12][13][14] Out of the existing tuning methods, recently, swarm intelligent algorithms have gained increasing popularity among researchers on account of their outstanding performance on many practical problems. 15 Swarm intelligence-based optimization algorithms are inspired from the behaviors of living things in nature. Particle swarm optimization (PSO) based on bird flocking and artificial bee colony (ABC) optimization based on simulating foraging behavior of honey bees are recently used to optimize the parameters of the controller.…”

Section: Introductionmentioning

confidence: 99%

Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay

Bingül

Karahan

2018

Optim Control Appl Methods

128

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Summary This paper deals with optimization and design of an integer order–based and fractional order–based proportional integral derivative (PID) controller tuned by particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms. These algorithms were used to find the best parameters for the best controller performance. A comparative study has been made to highlight the advantage of using ABC‐based controller over a PSO‐based controller. The validity of the controller tuning algorithms was tested in 2 different systems with time delay and a nonminimum phase zero used commonly in process control. The optimal tuning process of the PID and fractional order PID controllers has also been performed with 3 different cost functions. From the perspectives of time‐domain performance criteria, such as settling time, rise time, overshoot, and steady‐state error, the controller tuned by ABC gives better dynamic performances than controllers tuned by the PSO. Moreover, the results obtained from robustness analysis showed that the parameters of controller tuned by ABC are quite robust under internal and external disturbances.

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A novel optimal PID plus second order derivative controller for AVR system

Cited by 125 publications

References 28 publications

PID Controller Design for Cruise Control System using Particle Swarm Optimization

PID Controller Design for Cruise Control System using Particle Swarm Optimization

Analisa Kestabilan Sistem Kendali Eksitasi Generator Tipe Arus Searah Tanpa dan dengan Pengendali Berdasarkan Pendekatan Tanggapan Frekuensi

Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay

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