Feri Yusivar
University of Indonesia
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Publication
Featured researches published by Feri Yusivar.
Advanced Materials Research | 2012
Feri Yusivar; Beng Tito
The MPPT techniques of Incremental Conduction Method (ICM) and Perturbation and Observation (P&O) cannot track the maximum power point (MPP) of solar cell quickly without oscillation around MPP. This is happens because of the working point’s movement given by MPPT always has a same distance. This paper proposes a MPPT technique based on PI controller which able to reach the MPP quickly and the oscillation is near to zero. PI controller with error feedback is the gradient of solar cell’s power characteristic curve, is used as power optimizer replacing the step-size optimizer. Performance of the proposed technique is compared against the ICM one through simulations. The results show the proposed technique has much faster tracking time than the ICM has and the oscillation can be set to near zero.
international conference on electrical engineering | 2014
Feri Yusivar; N. Hidayat; R. Gunawan; A. Halim
Field Oriented Control (FOC) is a standard for high performance control of permanent magnet synchronous motor (PMSM) in the industry. It has excellent transient and steady-state response and relative simple structure. This paper is concerned in study case of implementing FOC control in realtime embedded system. The experimental results show that the FOC performs well in controlling the torque and speed of the permanent magnet synchronous motor (PMSM) with satisfactory result.
INTERNATIONAL WORKSHOP ON ADVANCED MATERIAL FOR NEW AND RENEWABLE ENERGY | 2009
Purnomo Sidi Priambodo; Feri Yusivar; Aries Subiantoro; Ridwan Gunawan
The huge demand of energy worldwide and the depletion of fossil based energy, is a strong reason to rapidly develop any kind of renewable energy resources, which has economical advantages and zero pollution effect. One of the renewable energy technologies aimed in this paper is the generation of electric‐energy based on fuel‐cell technology, where the input hydrogen (H2) gas is supplied by electrolysis system powered by renewable energy system based on solar cell. In this paper, the authors explain the development of electrolysis system which is powered by solar cell array to supply hydrogen for fuel‐cell system. The authors explain in detail how to design an efficient electrolysis system to obtain high ratio conversion of electric energy to hydrogen gas volume. It includes the explanation of the usage of multiple anodes with a single cathode for many solar cell inputs in a single electrolysis system. Hereinafter this is referred as multiple anode electrolysis system. This multiple anode electrolysis syst...
international conference on computer modeling and simulation | 2017
Muhammad Rif'an; Feri Yusivar; Benyamin Kusumoputro
In this paper, a technique for estimation of the rotor speed and position of a BLDC motor is presented. BLDC motors are nonlinear system and to control BLDC, rotor position must be known. This is usually done by using sensors that result in increased costs, the size of the motor and reduces reliability. In this research, the rotor speed and rotor position of BLDC motor are estimated by Ensemble Kalman Filter only use the stator line voltage and current measurement. The Ensemble Kalman Filter (EnKF) is a recursive filter suitable for non-linear systems. The estimated rotor speed and position rotor has been used for the motor drive and closed loop speed control of the BLDC motor. The performance of the proposed technique is demonstrated through real-time simulation.
Applied Mechanics and Materials | 2013
Ridwan Gunawan; Muhammad Luniara Siregar; Feri Yusivar
The vector control has become the first alternative in control of three phase induction motor. One of the vector control method which is commonly used is the direct torque control (DTC) method. However, this system has drawback due to the existence of torque ripples. The addition of the duty ratio control base on fuzzy logic can give better performance compared to conventional DTC. By doing an examination on DTC and duty ratio using small, medium and big capacities of three phase induction motors can be shown the influence from moment of inertia to rotor rotation. This paper uses MATLAB SIMULINK for the simulation study with three types of motor power, for example 1, 10 and 50 hp. It is shown that using the same parameters, a motor with a larger moment inertia gives a better performance in comparison to a motor with smaller moment of inertia.
Applied Mechanics and Materials | 2013
Feri Yusivar; Y. Syaifuddin; A.N. Rahman
Digital Phase Locked Loop (PLL) is an algorithm that is used to detect the phase, frequency, and amplitude of a signal. The output of digital PLL algorithm can be used as synchronization reference for grid connected inverter. A digital PLL algorithm is very popular to be used since its structure is very simple and it has high accuracy. However, the output of digital PLL is not stable if the input reference frequency is shifted from the pre-defined fundamental frequency and that condition will result an oscillation in digital PLL output. In this paper, an algorithm modification is employed using low pass filter and all pass filter to improve the digital PLL output response under various condition. All simulation results will be shown and compared to the conventional algorithm.
Advanced Materials Research | 2012
Aries Subiantoro; Feri Yusivar; Bagio Budiardjo; Muhammad Idrus Alhamid
The design of an intelligent controller based on fuzzy TS model for a pressure process rig is presented. The proposed controller consists of a fuzzy TS model, a feedback fuzzy TS model, and a low pass filter combined in an internal model control structure. The identification of the fuzzy TS model uses fuzzy clustering technique to mimic the nonlinearity characteristic of the process. Instead of least-squares algorithm, the instrumental variable method is used to estimate the consequent parameters of the fuzzy TS model in order to avoid inconsistency problem. The identified model is validated with the performance indicators variance-accounted-for and root mean square. By using the technique of inverse fuzzy model analytically, the feedback fuzzy controller is designed based on the identified fuzzy TS model. The performance of the proposed controller is verified through experiments at various operating points.
INTERNATIONAL WORKSHOP ON ADVANCED MATERIAL FOR NEW AND RENEWABLE ENERGY | 2009
Feri Yusivar; Aries Subiantoro; D. Aryani; Ridwan Gunawan; Purnomo Sidi Priambodo
This paper presents a dynamic model of Polymer Electrolyte Membrane Fuel Cell (PEM FC) as a MISO system using an identification model. The actual PEMFC system is represented in a non linear mathematical model. By identifying the non linear model with Least Square Method, a linear state space model is generated, with and without compensation vector. Another model is derived from linearization in the operating conditions of PEMFC. The Voltage‐Current characteristics of each PEMFC models are generated from simulation results, and are compared. It can be seen that the best model is the linear model with compensation vector, since its characteristic is very similar with the typical characteristic of PEMFC. Its Criterion Function of 0.0142 is the smallest among the other models. The smaller the Criterion Function, the model can represent the actual system more accurate. The resulting model can be used for model‐based control system.
conference of the industrial electronics society | 2005
Ridwan Gunawan; Feri Yusivar
This paper proposes a strategy for reducing the estimation error due to the digitizing problem in a speed sensorless induction motor control using the speed adaptive observer. An estimated current error compensation is introduced into the rotor magnetizing currents and synchronous speeds calculations in the flux model. A modification of the full-order observer is made in order to affect the compensation strategy into the observer. This modified observer uses the rotor flux calculated by the flux model instead of estimating the flux by itself. The proposed strategy can reduce effectively the estimation error. Simulation results confirm the effectiveness of the proposed strategy.
International Journal of Power Electronics and Drive Systems (IJPEDS) | 2011
Feri Yusivar; M. Y. Farabi; R. Suryadiningrat; W. W. Ananduta; Y. Syaifudin