R. Nejat TUNCAY, Ahu Ece HARTAVİ, M. Necip ŞAHİNKAYA, Clifford R. BURROWS

Rotor-AMY sisteminin bulanık denetleyici ile kontrolü ve denge akımı eniyileştirilmesi

Bu çalışmada, Rotor-Aktif Manyetik Yatak (AMY) sistemi için tasarlanılan Bulanık Denetleyici Kontrolör (BDK) ve sistemde harcanılan enerjiyi azaltmayı sağlayan enerji eniyileştirme algoritması (EİA) sunulmuştur. Başlangıçta sistem dinamiğini incelemek için sisteme ait benzetişim modeli Matlab/ Simulink ortamında gerçekleştirilmiştir. Oluşturulan model ile denge akımının enerji kaybına olan etkisi literatürde yer alan iki farklı yöntemi için incelenmiştir. Elde edilen sonuçlardan hareket ile enerji eniyileştirme algoritması geliştirilmiş ve sistemin kontrolünde kullanılan BDK’ya bağlanmıştır. Gerçekleştirilen BDK+EİA, dSPACE modülü yardımı ile Rotor-AMY sistemine uygulanmıştır. Sonuçta sistem parametrelerinin aynı anda değiştirilmesi ile dinamik yapının uygun katılıkta ve en az enerji harcayacak biçimde çalıştığı deneysel olarak gösterilmiştir.

Fuzzy supervisory control of rotor-AMB system and bias current optimization

This paper presents the Fuzzy Supervisory Control (FSC) and bias current optimization algorithm developed for a Rotor-Active Magnetic Bearing (Rotor-AMB) system. Since the AMBs are inherently unstable, it is essential to use a controller for a stable levitation. Initially, a closed loop control of Rotor-AMB system is achieved and the whole model is built in a virtual environment (Matlab/ Simulink). With the help of simulation model the system dynamics is analyzed. In addition to that, the effect of bias current on energy consumption is studied for both unidirectional and differential control current strategies. A diffential current control gives better efficiency compared with a unidirectional approach when the bias current is variable. Thus, optimizing the bias current according to the operational conditions is beneficial for magnetically levitated systems. According to the results obtained an energy optimization algorithm (EOA) is developed. Since the system is nonlinear and has some uncertainties a Fuzzy Supervisory Controller is used to overcome these problems. Then, the real time model of the FSC and EOA are achieved using dSPACE. Finally an experimental set up is formed and FSC+EOA are applied to the Rotor-AMB system. It is shown that, FSC and the algorithm developed make the system tolerant to higher unbalances and disturbances with minimum energy consumption.

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