Hybrid evolutionary algorithm for PID controller design of AVR system

This paper aims at using imperialist competitive algorithm based fuzzy logic (FICA), to control an automatic voltage regulator (A VR) in order to increase the stability and obtain more controllability of the system. For the stabilization of the automatic voltage regulator a proportional-integral-derivative controller (PlD) was used. We applied the FICA, which is the combination of the imperialist competitive algorithm (ICA) and fuzzy logic to determine the optimal coefficients of the proportional integral-derivative controller (PID). The new algorithm solves the main problems of the imperialist competitive algorithm (ICA), which are entrapped in local optimum points and low-speed convergence. This way, the control of the effective parameters of the (ICA) likes as the assimilation coefficient and the cost of colonies is performed with high accuracy and speed. We will show that the results obtained with the proposed intelligent algorithm (FICA), have higher convergence rate and more accuracy in comparison with the other algorithms.

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“…Then Nimp countries of the initial countries with the best cost function, which is given by Eg. (2), are chosen as the imperialists.…”

Section: Proposed Intelligent Algorithmmentioning

confidence: 99%

“…Due to their simple structure and implementation the proportional-integral derivative controllers (PID) considerably used in industries. As a result, the different methods suggested for adjusting the coefficients of PID controllers [2,3], [8] and [4]. There are many algorithms for solving the optimization problems.…”

Section: Introductionmentioning

confidence: 99%

An approach to optimize the proportional-integral-derivative controller system

Dadvandipour

Dizaji

Entezar

2015

Proceedings of the 2015 16th International Carpathian Control Conference (ICCC)

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“…Its many practical applications include automatic voltage regulators [1], surgical robots [2], two-wheel back-stepping robots [3], multiaxis welding robot [4], wheeled robot [5] etc. In the recent years remarkable progress has been made in the research and development of such precision control systems.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence for precision movement robot

Lekkala

Mittal

2015

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)

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Proportional Integral Differential (PID) feedback systems are known for their robustness, accuracy and stability. These systems are used in a wide variety of applications. In this paper, we explore the possibility of using a PID architecture in robotic 3D navigation systems. The system developed can be implemented for robotic applications that require high precision of movements along the three dimensions. The precision of movements may be required with reference to the user controls provided, for example in unmanned or autonomous driving systems, which in turn require Artificial Intelligence methodologies to give the outputs such that it attains precision. An experimental 3D precision robot is developed, in which the PID algorithm is implemented. The results of experiments conducted, confirm the effectiveness of PID controller in achieving the high precision of robotic movements in three dimensions.

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“…Nilai parameter pengendali PID untuk AVR juga telah ditentukan menggunakan metode genetic algorithm dan particle swarm optimization. Hasil simulasi menunjukkan bahwa pengendali PID yang dioptimasi menggunakan metode tersebut memberikan kinerja yang lebih bagus [13]. …”

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Modifikasi Topologi Pengendali PID untuk Automatic Voltage Regulator Generator Sinkron

Pamungkas¹,

Haddin²,

Rijanto³

2017

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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Abstract-Automatic voltage regulator (AVR) is one of key elements in an excitation system which controls the synchronous generator terminal voltage in an electrical power generation plant. PID control algorithm in an AVR has been designed to obtain good response towards voltage reference without considering the effect of torque disturbance. This paper proposes a PID with modified topology for a digital AVR in order to regulate the generator terminal voltage in more speedy and more accurate, while maintaining robustness against torque disturbance. Performance of the digital AVR has been compared with conventional PID controller through experiments using a hardware in the loop (HIL) system. Pengaturan nilai parameter pengendali PID pada saat pemasangan di sistem eksitasi pembangkit listrik, biasa disebut commissioning, memerlukan waktu yang cukup lama karena sulit dilakukan secara manual. Oleh karena itu, sejalan dengan perkembangan teknologi, pengendali AVR kemudian dilengkapi dengan kemampuan menentukan nilai parameternya sendiri secara otomatis. Algoritme penentuan nilai parameter AVR yang telah diusulkan misalnya berbasis metode recursive least square (RLS) [10] dan berbasis logika samar [11].Metode komputasi evolusi telah digunakan untuk melakukan optimasi nilai parameter pengendali PID pada AVR. Hasil simulasi penerapan metode hibrid bacteria foraging-cloning selection menunjukkan bahwa metode hibrid tersebut memberikan hasil yang lebih baik dibandingkan dengan hasil metode fuzzy neural network [12]. Nilai parameter pengendali PID untuk AVR juga telah ditentukan menggunakan metode genetic algorithm dan particle swarm optimization. Hasil simulasi menunjukkan bahwa pengendali PID yang dioptimasi menggunakan metode tersebut memberikan kinerja yang lebih bagus [13]. 380

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Hybrid evolutionary algorithm for PID controller design of AVR system

Cited by 18 publications

References 10 publications

An approach to optimize the proportional-integral-derivative controller system

An approach to optimize the proportional-integral-derivative controller system

Artificial intelligence for precision movement robot

Modifikasi Topologi Pengendali PID untuk Automatic Voltage Regulator Generator Sinkron

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