Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Mechatronics, Electrical Power, and Vehicular Technology Makara Journal of Technology
Feri Yusivar
Electrical Engineering Department, Faculty of Engineering University of Indonesia, Depok 16424, Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2980.121 KB) | DOI: 10.14203/j.mev.2019.v10.1-6

Abstract

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.
Design of Induction Motor Drive Without Velocity Sensor Using Current Vector Controller with Full and Reduced Observer Moving to DQ Axis Gunawan, Ridwan; Yusivar, Feri; Wahab, Wahidin; Kadir, Zuhal A.
Makara Journal of Technology Vol. 10, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Design of Induction Motor Drive Without Velocity Sensor Using Current Vector Controller with Full and Reduced Observer Moving to DQ Axis. The observer is used in estimation velocity sensor usually in α-β axis, therefore this situation will need an extra transformation when we want to add compensator because the flux model is in direct and quadrature-axis dq. Every used the transformation to make possible emerge an error. So in this simulation is used a method to estimate the velocity of induction motor drive with observer that is moved to dq-axis. The model of actual motor used is in alfa-beta axis, but the observer use the motor models in rotor flux oriented control (RFOC).This matter, also to prove that the different models of motor drives can be used between the actual and estimated one. The simulation results with C-MEX S-function Matlab/Simulink 6.5 to show that the full order observer in dq axis gives better performance than the reduced order observer.
Modeling of a New Structure of Precision Air Conditioning System Using Secondary Condenser for Rh Regulation Subiantoro, Aries; Nasruddin, Nasruddin; Yusivar, Feri; Al-Hamid, Muhammad Idrus; Budiardjo, Bagio
Makara Journal of Technology Vol. 16, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A dynamic mathematical model for a new structure of precision air conditioning (PAC) has been developed. The proposed PAC uses an additional secondary condenser for relative humidity regulation compared to a basic refrigeration system. The work mechanism for this system and a vapour-compression cycle process of the system are illustrated using psychrometric chart and pressure-enthalpy diagram. A non-linear system model is derived based on the conservation of mass and energy balance principles and then linearized at steady state operating point for developing a 8th-order state space model suited for multivariable controller design. The quality of linearized model is analyzed in terms of transient response, controllability, observability, and interaction between input-output variables. The developed model is verified through simulation showing its ability for imitating the nonlinear behavior and the interaction of input-output variables.
Co-Authors Al-Hamid, Muhammad Idrus Aries Subiantoro Avianto Wicaksono, Nanda Bagio Budiardjo Benyamin Kusumoputro Hade Saputra Haslim Kadir, Zuhal A. Kusnan Nuryadi Muhammad Al-Hamid, Muhammad Nasruddin Nasruddin Ridwan Gunawan Rif'an, Muhammad Wahidin Wahab Wilujeng, Lintang Hapsari Yasil Farabi Zuhal Kadir, Zuhal