M. Ashari
Institut Teknologi Sepuluh Nopember

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Renewable Energy Source Enactment for Speed Control of BLDC Motor with Proportional Integral (PI) Controller Soedibyo Soedibyo; Muhammad Budi Rahayu Widodo; M. Ashari
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 1 (2020)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i1.107

Abstract

This paper present about speed control of Brushless Direct Current (BLDC) Motor 1 kW in which supplied using Photovoltaic (PV) Array 1.5 kW that simulated using MATLAB 2016a.  Speed control of BLDC exactly depend on voltage condition, so speed control mean voltage control. Furthermore, Proportional Integral (PI) controller will be implemented to get best performance of the system during irradiance change or some load implemented. For detail analysis purpose, the simulation will do in some case such by vary irradiation of PV, Vary the speed reference then vary of load. From simulation result we get the information that dynamic irradiance, load and speed reference will influence the response stability of speed so do Power Consumption, Voltage and Current response.Keywords: brushless direct current (BLDC) motor, photovoltaic (PV), proportional integral (PI) controller.
RNN Based Rotor Flux and Speed Estimation of Induction Motor Bambang Purwahyudi; Soebagio Soebagio; M. Ashari
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 1, No 1: September 2011
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (102.036 KB)

Abstract

Speed control of induction motor can be obtained by closed loop system which require speed sensor. Speed sensor system is less effective for wide plant system, because the sensor location is too far from the main control system and measurement result is less accurate. This paper presents the development of speed sensorless field oriented control (FOC) of induction motor by using the rotor flux and speed observers. The observers only required the stator voltage and current of induction motor to obtain the rotor flux and speed estimation. The observers based on recurrent neural network (RNN) methods are implemented. Finally, the effectiveness of the proposed method is verified by simulation. Simulation results show that RNN observer can produce well the rotor flux and speed estimation. MSE values of the rotor flux estimation are between 0.000087 and 0.000264, whereas MSE values of the speed estimation are between 43.0552 and 156.0798. Keywords: field oriented control, induction motor, observer, and recurrent neural network.DOI: http://dx.doi.org/10.11591/ijpeds.v1i1.65