R. Nejat TUNCAY, Özgür ÜSTÜN, Murat YILMAZ

Fırçasız DA motorunun (FDAM) algılayıcısız kontrolünde dalgacık tekniğinin uygulanması

Bu çalışmada fırçasız doğru akım motorunun (FDAM) dalgacık teorisi yardımıyla algılayıcısız olarak kontrolü ve elektrikli otomobile uygulanması amaçlanmıştır. Bu doğrultuda geliştirilen bir kalkış algoritması yöntemiyle, motorun, endüklenen gerilim bilgisinin algılanabileceği belirli bir hıza kadar açık çevrim olarak hızlanması sağlanıp, bu hızdan sonra geribesleme olarak elde edilen beslenmeyen faz endüklenen geriliminden ve faz akımlarından yararlanılarak kapalı çevrim olarak dalgacık dönüşümü yardımıyla fırçasız doğru akım motorunun algılayıcısız kontrolü gerçekleştirilmiştir. Komutasyon anlarının algılayıcısız olarak elde edilmesi sırasında, geliştirilen PID ve Bulanık kontrolör algoritmaları yardımıyla motor hız ve faz akımları gerçek zamanlı olarak denetlenmiştir.

The application of wavelet technique to sensorless control of brushless DC (BLDC) motor

This paper deals with developing a novel sensorless drive technique for BLDC motors by using wavelet theory. Study adopts two methods of position prediction. The first method involves self phase inductance variation of which finite element analysis is employed. The second method is based upon the induced voltage and zero crossing point estimation. Starting problem is solved by using position inductance function for the first method and by providing a look-up table for each direction of rotation for the second method. The MATLAB/Simulink model of the motor is established and the simulation performances are obtained. A PID and a fuzzy control algorithms are developed, current and speed controlled performance predictions are obtained. Then as an experimental study, BLDC motor’s PWM pulses are produced by DS1005 processor and DS2201 board of dSPACE DSP kit. The time domain currents and induced-voltage waveforms are recorded. The Daubechies wavelet analyses of the experimental and simulation waveforms are obtained with an extra emphasis on commutation intervals. So an algorithm is developed to predict the commutation instants without any position sensor. This procedure is applied experimentally and it is successfully demonstrated that the proposed method described above could be useful for sensorless control of BLDC motors. It is also shown that, results of the simulation model and its wavelet analysis are in a very good agreement with those of experiments.

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