MODELING OF ELECTRO-HYDRAULIC SERVO SYSTEM USING THE BEES ALGORITHM

Author:

ÇAKAN Abdullah1ORCID,BOTSALI Fatih Mehmet1,ÖNEN Ümit2,KALYONCU Mete1

Affiliation:

1. KONYA TEKNİK ÜNİVERSİTESİ, MÜHENDİSLİK VE DOĞA BİLİMLERİ FAKÜLTESİ, MAKİNE MÜHENDİSLİĞİ BÖLÜMÜ

2. NECMETTİN ERBAKAN ÜNİVERSİTESİ, MÜHENDİSLİK VE MİMARLIK FAKÜLTESİ

Abstract

In this study, a method is proposed to find the unknown simulation parameters of an industrial electro-hydraulic proportional valve. Electro-hydraulic servo systems are one of the most widely used actuator systems, and proportional valves are commonly found in hydraulic systems. Hydraulic systems are complicated to linearize, because nearly whole elements are nonlinear, with the inclusion of the valve actuators. The system model must be linearized to make it feasible for analysis of the system linearly or the characteristics must be identified by comparison the output responses suitable for the inputs. However, it is not easy to obtain a perfect system model for use in simulation studies without prior knowledge of the system. Obtaining a perfect model of a system that is not easy to model can be done in two different ways; applying one of the system identification methods after collecting experimental data or using manufacturers' datasheets. In this paper, simulation parameters of MOOG brand D675 series proportional servo valve system were obtained using The Bees Algorithm, an optimization algorithm, to match the dynamic specifications in the datasheet provided by the manufacturer. The obtained system model and the answers are shown graphically and the effectiveness of the proposed method is discussed.

Publisher

Konya Muhendislik Bilimleri Dergisi

Subject

General Medicine

Reference17 articles.

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2. Ding, Y., Zhang, W., Yu, L. ve Lu, K., 2019, "The accuracy and efficiency of GA and PSO optimization schemes on estimating reaction kinetic parameters of biomass pyrolysis", Energy, Vol. 176, No., pp. 582-588.

3. Eser, O., Çakan, A., Kalyoncu, M. ve Botsalı, F. M., "Arı Algoritması (AA) ve Parçacık Sürü Optimizasyonu (PSO) Kullanarak Çeyrek Araç Modeli Tasarım Parametrelerinin Belirlenmesi", Konya Mühendislik Bilimleri Dergisi, Vol. 9, No. 3, pp. 621-632.

4. Feng, H., Yin, C., Ma, W., Yu, H. ve Cao, D., 2019, "Parameters identification and trajectory control for a hydraulic system", ISA Trans, Vol. 92, No., pp. 228-240.

5. İlgen, S., Durdu, A., Gülbahçe, E., Çakan, A. ve Kalyoncu, M., "The Bees Algorithm Approach to Determining SMC Controller Parameters for the Position Control of a SCARA Robot Manipulator", Avrupa Bilim ve Teknoloji Dergisi, Vol., No. 33, pp. 267-273.

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