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Sensorless-BLDC motor speed control with ensemble Kalman filter and neural network Rif'an, Muhammad; Yusivar, Feri; Kusumoputro, Benyamin
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

The use of sensorless technology at BLDC is mainly to improve operational reliability and play a role for wider use of BLDC motors in the future. This research aims to predict load changes and to improve the accuracy of estimation results of sensorless-BLDC. In this paper, a new filtering algorithm is proposed for sensorless brushless DC motor based on Ensemble Kalman filter (EnKF) and neural network. The proposed EnKF algorithm is used to estimate speed and rotor position, while neural network is used to estimate the disturbance by simulation. The proposed algorithm requires only the terminal voltage and the current of three phases for estimated speed and disturbance. A model of non-linear systems is carried out for simulation. Variations in disturbances such as external mechanical loads are given for testing the performance of the proposed algorithm. The experimental results show that the proposed algorithm has sufficient control with error speed of 3 % in a disturbance of 50 % of the rated-torque. Simulation results show that the speed can be tracked and adjusted accordingly either by disturbances or the presence of disturbances.

The Self Exitated Induction Generator with Observation Magnetizing Characteristic in The Air Gap Ridwan Gunawan; Feri Yusivar; Budiyanto Budiyanto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 5, No 3: 2015
Publisher : Institute of Advanced Engineering and Science

This paper discusses the Self Exitated induction Generator (SEIG) by approaching the induction machine, physically and mathematically which then transformed from three-phase frame abc to-axis frame, direct axis and quadratur-axis. Based on the reactive power demand of induction machine, capacitor mounted on the stator of the induction machine then do the physical and mathematical approach of the system to obtain a state space model. Underknown relationships, magnetization reactance and magnetizing current is not linear, so do mathematical approach to the magnetization reactance equation used in the calculation. Obtained state space model and the magnetic reactance equation is simulated by Runge kutta method of fourth order. The equation of reactance, is simulated by first using the polynomial equation and second using the exponent equation. The load voltage at d axis and q axis using the polynomial laggs 640µs to the exponent equation. The polynomial voltage magnetitude is less than 0.6068 volt from the exponent voltage magnitude

Stability Analysis of DC-link Voltage Control on Autonomous Micro Hydro Power Plant System Feri Yusivar; M. Shanizal; A. Subiantoro; R. Gunawan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 4, No 4: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (897.068 KB)

Micro Hydro Power Plant has become one of the interesting topics to be researched nowadays. This paper deals with the stability analysis on control system of excitation voltage in Micro Hydro Power Plant. The control of this voltage can be achieved by controlling the Permanent Magnet Synchronous Machine (PMSM) with particular algorithm so the voltage on the DC-link part of the system can be controlled. Without knowing the exact specification of system parameters, the system will be most likely unstable. The DC-link control system is modeled, simulated, and mathematically analyzed so the parameter specification for the stable system can be obtained.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6436

Buck-Converter Photovoltaic Simulator Feri Yusivar; M. Y. Farabi; R. Suryadiningrat; W. W. Ananduta; Y. Syaifudin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 1, No 2: December 2011
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.73 KB)

This paper presents a Photovoltaic Simulator Simulation using Buck Converter with analysis using bode diagram. A state space simulator model is derived to provide a detail non-linear model. The PV Static Model is modified by adding a low pass filter in order to avoid an algebraic loop problem and able to analyze easier. PV simulator is realized by controlling buck converter’s current using PI Controller with reference from PV model. Then the model is linearized which is used for analysis purpose. The system is analyzed using bode diagram for its output voltage against its inputs of solar irradiance and cell’s temperature. The Load, Proportional Gain Kp, and Integral Gain Ki are varied to observe their effects into the system stability. It is noticed that the limits of gain stability system are so high at all values of load and gains so the Buck-Converter Photovoltaic Simulator, which is proposed here, can be declared as a robust system.DOI: http://dx.doi.org/10.11591/ijpeds.v1i2.92

Critical Condition of Sensorless Induction Generator Using Flux Weakening in Wind Turbine Application Nanda Avianto Wicaksono; Abdul Halim; Aries Subiantoro; Feri Yusivar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 7, No 1: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v7.i1.pp202-216

This paper was intended to examine thoroughly a critical condition of the sensorless induction generator using flux weakening in wind turbine application. The critical condition would happen when the rotor speed reached the critical rotor speed reference. The critical rotor speed reference was the highest of the rotor speed reference that still caused the stable response. It was obtained by increasing the rotor speed reference until the system response became unstable. In the low speed range of wind showed that there was no unstable condition whatever a rotor speed reference was set. On the other hand, there was a critical rotor speed reference in the medium and high speed range of wind. The unstable condition was caused by the induction generator that received a power higher than its capacity, so its rotor speed couldn't be maintained at reference value. The first solution was suggested that the stable condition would be made by setting the rotor speed reference at the minimum critical reference. The second solution was suggested that the controlling rotor speed in triangle area between the critical condition and the operation that used the minimum critical reference for the rotor speed reference. In the triangle area, the rotor speed was controlled by setting the tip speed ratio.

Single Phase PV Grid-Connected in Smart Household Energy System with Anticipation on Fault Conditions Feri Yusivar; Rian Suryadiningrat; Aries Subiantoro; Ridwan Gunawan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 4, No 1: March 2014
Publisher : Institute of Advanced Engineering and Science

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This paper proposes an algorithm of Smart household energy systems to anticipate fault conditions in power system grid. Single phase PV grid-connected in smart household energy system is a smart system that determines electrical supply conditions to the load in residential electrical system. The smart system is consisted of two voltage source, conventional electricity system from national electricity provider as preferred source and photovoltaic as the alternative source. In smart system, fault conditions can be anticipated by selecting the appropriate voltage sources to supply the load. The condition of smart system can be described in power flow regulation to the load by detection and identification of amplitude, phase angle, and frequency of the voltage source compared to the system reference. The system mechanism is based on detection of voltage source using static transfer switch (STS) with phase locked loop (PLL) as voltage detection algorithm which output is used to determine decision logic algorithm for switching conditions. The results show that conditions of smart power system flow can be obtained based on voltage source selection in decision logic when fault condition occurs.DOI: http://dx.doi.org/10.11591/ijpeds.v4i1.5368

Control of DFIG Stator Voltage on Autonomous Micro Hydro Power Plant Feri Yusivar; Nanda Avianto Wicaksono; Aries Subiantoro; Ridwan Gunawan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 7, No 2: June 2016
Publisher : Institute of Advanced Engineering and Science

An autonomous micro hydro power plant was proposed to utilize the small hydro power potency as a run-of-river. It consisted of a PMSG, a DFIG, and a converter and should be operated in the off-grid configuration. In a previous research, the DFIG stator voltages couldn’t be controlled. In this paper, the novel control algorithm that is able to maintain the DFIG stator voltages of the autonomous micro hydro power plant in the off-grid configuration is proposed. The control algorithm was proposed to use the actual DFIG stator voltages and currents as feedback signals. The controller was tested by varying three input signals, i.e. the DC-link voltage, the DFIG stator voltage reference, and the external stator load which simulated the off-grid configuration. The result of the simulation showed that the DFIG stator voltages could be controlled and were always in accordance with the reference.

Sensorless-BLDC motor speed control with ensemble Kalman filter and neural network Muhammad Rif'an; Feri Yusivar; Benyamin Kusumoputro
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2019.v10.1-6

The use of sensorless technology at BLDC is mainly to improve operational reliability and play a role for wider use of BLDC motors in the future. This research aims to predict load changes and to improve the accuracy of estimation results of sensorless-BLDC. In this paper, a new filtering algorithm is proposed for sensorless brushless DC motor based on Ensemble Kalman filter (EnKF) and neural network. The proposed EnKF algorithm is used to estimate speed and rotor position, while neural network is used to estimate the disturbance by simulation. The proposed algorithm requires only the terminal voltage and the current of three phases for estimated speed and disturbance. A model of non-linear systems is carried out for simulation. Variations in disturbances such as external mechanical loads are given for testing the performance of the proposed algorithm. The experimental results show that the proposed algorithm has sufficient control with error speed of 3 % in a disturbance of 50 % of the rated-torque. Simulation results show that the speed can be tracked and adjusted accordingly either by disturbances or the presence of disturbances.

Automatic Switching Algorithm for Photovoltaic Power Generation System Ivan Husain; Canny Dahlia; Feri Yusivar
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

within remote area worldwide, solar panel is still considered as an alternative with lower efficiency rate and a complex system needing backup source and storage such as battery. PI MPPT controller then used to remarkably improve the efficiency rate of the solar panel by maintaining it on its Maximum Power Point (MPP) reference. However, tackling the complexity of photovoltaic generator for remote area require another solution. This paper provide a simple yet applicable solution by presenting an algorithm to automatically control the photovoltaic generator system for remote area. The algorithm logic is determined by the key parameters from each systems inside, which are solar panel, PI Boost Converter, Battery, and Load. The simulation result proves that the algorithm is able to provide an appropriate result with all condition working properly. Thus, the algorithm is eligible to be applied and to be developed further

Rotor Speed Control Maximum Power Point Tracking for Small Wind Turbine Ni Luh Dharmaraditya; Lazarus Stefan; Feri Yusivar
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Due to the change of energy source to renewable energy, the trend of wind turbine is increased in last 5 years. Small Wind Turbine that convert kinetic energy to electric energy needs a rectifier to convert AC to DC. Rectifier used in this paper is active rectifier. Because of its power characteristics, wind turbine needs maximum power point tracking (MPPT) to track its maximum power. This paper shows that by using active rectifier, the algorithm of tracking a maximum power able to be tracked by controlling its rotor angular speed. The simulation result proves that the speed control and MPPT algorithm, perturb and observe, is able to be implemented in various wind speed.

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