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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Nooradzianie Muhammad Zin
Universiti Tun Hussein Onn Malaysia
Control & Systems Engineering Electrical & Electronics Engineering

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Speed Tracking of Field Oriented Control Permanent Magnet Synchronous Motor Using Neural Network Wahyu Mulyo Utomo; Nooradzianie Muhammad Zin; Zainal Alam Haron; Sy Yi Sim; Azuwien Aida Bohari; Roslina Mat Ariff; Dirman Hanafi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 4, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.549 KB)

Abstract

The field oriented control theory and space vector pulse width modulation technique make a permanent magnet synchronous motor can achieve the performance as well as a DC motor. However, due to the nonlinearity of the permanent magnet synchronous motor drive characteristics, it is difficult to control by using conventional proportional-integral-derivative controller. By this reason in this paper an online neural network controller for the permanent magnet synchronous motor is proposed. The controller is designed to tracks variations of speed references and also during load disturbance. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-simulink program. The simulation results show that the proposed controller can reduce the overshoot, settling time and rise time. It can be concluded that the performance of the controller is improved.DOI: http://dx.doi.org/10.11591/ijpeds.v4i3.5941
Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive Roslina Mat Ariff; Dirman Hanafi; Wahyu Mulyo Utomo; Nooradzianie Muhammad Zin; Sy Yi Sim; Azuwien Aida Bohari
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v8.i2.pp513-521

Abstract

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor.  The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.
Co-Authors Azuwien Aida Bohari Dirman Hanafi Roslina Mat Ariff Roslina Mat Ariff Sy Yi Sim Wahyu Mulyo Utomo Zainal Alam Haron