Sarsma tablası için diferansiyel gelişim algoritması ile hızlı ve yüksek hassasiyetli kestirici tasarımı

Year 2023, Volume: 1 Issue: 1, 17 - 29, 10.08.2023

Serdar Koçkanat

Abstract

Sarsma tablası, binaların ve araçların yer sarsıntılarına karşı davranışlarının incelenebildiği deneysel bir sistemdir. Sarsma tablası, istenilen teknik özellikleri sağlayacak şekilde elektrik, mekanik ve hidrolik parçalardan oluşur. Özellikle bu bahsedilen parçalar ile tasarlanan lineer olmayan sarsma tablası sisteminde harmonikler kaçınılmazdır. Harmonik, bir sistemin kontrol performansını azaltan ve sistemden elde edilen çıkış sinyalini bozan istenmeyen rahatsız edici bir sinyaldir. Bu nedenle harmoniklerin tanımlanması ve ortadan kaldırılması önemli bir tasarım problemidir. Bu çalışmada, özellikle sinüzoidal titreşim testlerinde oluşan harmonikleri belirlemek için diferansiyel gelişim algoritması tabanlı ivme harmoniği kestirimcisi tasarlanmıştır. Önerilen kestirim yaklaşımı hem simülasyon hem de altı harmonik içeren gerçek zamanlı harmonik sinyaller ile analiz edilmiştir. Ayrıca genlik ve faz kestirim sonuçları ısıl tavlama algoritması ile elde edilen sonuçlarla karşılaştırılmıştır. Kısaca diferansiyel gelişim algoritması kullanılarak hızlı ve yüksek değerli tahmin edici tasarımı gerçekleştirilmiş ve literatürde elde edilen tahmin sonuçları ile avantajları ortaya konmuştur.

Keywords

kestirim, ivme harmonikleri, sarsma tablası, diferansiyel gelişim, optimizasyon

Fast and high preciously estimator design with differential evolution algorithm for shaking table

Abstract

The shaking table is an experimental system in which the behavior of buildings and vehicles against ground shocks can be examined. A shaking table consists of electrical, mechanical and hydraulic parts to provide the desired technical specifications. In particular, harmonics are inevitable in the nonlinear shaking table system designed by these aforementioned parts. Harmonic is an undesirable disturbing signal that reduces the control performance of a system and distorts the output signal obtained from the system. Therefore, the identification and elimination of harmonics is an important design problem. In this paper, an acceleration harmonic estimator based differential evolution algorithm has been designed to determine the harmonics that occur especially in sinusoidal vibration tests. The proposed estimation approach was analyzed with both simulation and real-time harmonic signals including six harmonics. In addition, the amplitude and phase estimation results were compared with the results obtained by the simulated annealing algorithm. In short, fast and high preciously estimator design was realized by using differential evolution algorithm and its advantages were demonstrated with the obtained estimation results in literature.

Keywords

estimation, acceleration harmonics, shaking table, differential evolution, optimization

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