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IAES International Journal of Robotics and Automation (IJRA)
ISSN : 20894856     EISSN : 27222586     DOI : -
Core Subject : Engineering,
Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our co-workers in factories and offices, or maids in our homes. The IAES International Journal of Robotics and Automation (IJRA) is providing a platform to researchers, scientists, engineers and practitioners throughout the world to publish the latest achievement, future challenges and exciting applications of intelligent and autonomous robots. IJRA is aiming to push the frontier of robotics into a new dimension, in which motion and intelligence play equally important roles. Its scope includes (but not limited) to the following: automation control, automation engineering, autonomous robots, biotechnology and robotics, emergence of the thinking machine, forward kinematics, household robots and automation, inverse kinematics, Jacobian and singularities, methods for teaching robots, nanotechnology and robotics (nanobots), orientation matrices, robot controller, robot structure and workspace, robotic and automation software development, robotic exploration, robotic surgery, robotic surgical procedures, robotic welding, robotics applications, robotics programming, robotics technologies, robots society and ethics, software and hardware designing for robots, spatial transformations, trajectory generation, unmanned (robotic) vehicles, etc.
Articles 7 Documents
Search results for , issue "Vol 7, No 3: September 2018" : 7 Documents clear
Design of Neuro-Fuzzy Controller for Stabilization of Single Phase Stand-Alone PV Power System Hitendra Singh Thakur; Ram Narayan Patel
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.682 KB) | DOI: 10.11591/ijra.v7i3.pp176-184

Abstract

For the three phase power electronic and drive applications, vector control or the synchronous reference frame (SRF) based control concept is well accepted and settled amongst the research communities. Although the SRF concept has gained popularity and appreciation in developing the three phase controllers, still the concept has not reached the same level in case of a single phase system. The work presented in this paper is mainly concerned to the design of a hybrid Artificial Neural Network and Fuzzy Logic based controller for a single phase stand-alone photo-voltaic (PV) power system. The adaptive neuro fuzzy inference system (ANFIS) controller proposed in this paper is chiefly meant for improving the transient and steady state responses; for minimizing the distorting effect of the low order load current harmonics encountered particularly in case of switching the drive based inductive loads and to help maintain the inverter output voltage constant under different loading circumstances. The result obtained through simulation work, shows the effectiveness of the proposed controller as compared with the previously established research works.
Green Two-wheeled Mobility: Electric Scooters Using Brushless Motor based on Fuzzy Logic Controller Hassane Bachiri; Abdelfetah Nasseri
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.831 KB) | DOI: 10.11591/ijra.v7i3.pp169-175

Abstract

In the last years electric vehicles gained importance as a more sustainable alternative to traditional vehicles. The introduction of an electric power train leads to lower air-pollution emissions. ‘Electric bicycles’ are sometimes more like an electric pedaled moped, other times more like a Vespa-looking scooter with or without pedals, and they often offer good range and speeds. However, a “scooter” can also be an electric cart for personal mobility, or a skateboard-like vehicle with small handlebars. Electric scooters are the most legislatively active realm of electric bicycles, at the present time. Brushless DC (BLDC) motors are one of the electrical drives that are rapidly gaining popularity, due to their high efficiency, good dynamic response and low maintenance. In this paper, the modeling and simulation of the BLDC motor was done using the software package MATLAB/SIMULINK. The proposed fuzzy logic controller has given optimal results compared to PI controller. The simulated system using the fuzzy controller has a fast response without overshoot, zero steady state error and high load robustness.
Modelling and Passivity-Based Control of a Non Isolated DC-DC Converter in a Fuel Cell System Moutabir Ahmed; Abdelmounim Elhassane; Aboulfatah Mohamed
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1239.604 KB) | DOI: 10.11591/ijra.v7i3.pp197-204

Abstract

This paper presents the model of a fuel cell and the design and simulation of a cascade of two DC-DC converters. First, a detailed mathematical model of fuel cell is presented and simulated. Then, a nonlinear model of the whole controlled system is developed and a robust nonlinear controller of currents is synthesized using a passivity-based control. A formal analysis based on Lyapunov stability and average theory is developed to describe the control currents loops performances. A classical PI controller is used for the voltages loops. The simulation models have been developed and tested in the MATLAB / SIMULINK. Simulated results are displayed to validate the feasibility and the effectiveness of the proposed strategy.
Linear and Non-Linear Control Design of Skid Steer Mobile Robot on an Embedded Jharna Majumdar; Sudip C Gupta; B Prassanna Prasath
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (913.485 KB) | DOI: 10.11591/ijra.v7i3.pp185-196

Abstract

A detailed approach for a linear Proportional-Integral-Derivative (PID) controller and a non-linear controller - Linear Quadratic Regulator (LQR) is discussed in this paper. By analyzing several mathematical designs for the Skid Steer Mobile Robot (SSMR), the controllers are implemented in an embedded microcontroller - Mbed LPC1768. To verify the controllers, MATLAB-Simulink is used for the simulation of both the controllers involving motors - Maxon RE40. This paper compares between PID and LQR controller along with the performance comparison between Homogenous and Non-Homogenous LQR controllers.
Implement the Harmonic Search Algorithm with Optimum Location of Capacitors Sizing and Dispatchable DGs to Control the Reactive Power on Interconnected Bus System M. Suneetha; R.Srinivasa Rao; B. Subramanyam
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.115 KB) | DOI: 10.11591/ijra.v7i3.pp149-158

Abstract

Power system is combination of generation, transmission and Distribution Network. In modern trends power system operation is very difficulty due to energy storage elements, and variable inductive load. In power system, control the reactive power is essential to maintain the safe and more reliability of power system operation. In this paper, to organize the real power and reactive power by optimizing and sizing of capacitors and Dispatchable  Distribution generators in a distribution network with help of Harmonic Search Algorithm. The constraints of power system like voltage, real power and reactive and branch current carrying capacity are included in the evaluation of the objective function. To validate  planned development network an IEEE 30 bus investigation system is considered.
Developed Z-Source H-Bridge Multilevel Inverter with Reduced Components for Speed Control of Induction Motor C. L.Kuppuswamy; T. A. Raghavendiran
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.066 KB) | DOI: 10.11591/ijra.v7i3.pp205-214

Abstract

This paper introduces a new developed H-bridge based cascaded multilevel inverter with reduced components. This topology has a low complexity thereby reducing the overall cost of an inverter. The proposed circuit is connected with a PI controller and switches are controlled by pulse width modulation technique to control the speed of an induction motor. The simulation was carried out using Matlab / Simulink. The simulation of the same was made and performance of various PWM techniques such as Phase disposition (PD), Phase opposite disposition (POD) and phase shifted (PS) and there results were compared on different quantitative measures such as Voltage, current stator Total harmonic Distortion, Voltage stress and rise time. It was observed that that the proposed power circuit with Phase disposition pulse width modulation (PDPWM) that offers reduced total harmonic Detection in terms of voltage, current and phase was found to be very less when compared to other Pulse width modulation techniques. The simulation results will have a fast and quick rise time thereby making this inverter a choice for speed control of induction motor.
Dynamic Control of Mobile Robot Using RBF Global Fast Sliding mode Ali Mallem; Noureddine Slimane; Walid Benaziza
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.806 KB) | DOI: 10.11591/ijra.v7i3.pp159-168

Abstract

This paper mainly In this paper a dynamic control of mobile robot using RBF global fast sliding mode (RBF-GFSM) strategy is presented. Firstly a GFSM controller is used in order to make the linear and angular velocities converge to references ones in finite time. However a problem of instability of velocities is appeared by introducing disturbances in the system. Secondly, a combined controller using RBF-GFSM approach is applied in aim to stabilize the velocities errors and estimates the nonlinear function of the robot model. The system stability is done using the lyapunov theory. The proposed controllers are dynamically simulated using Matlab/Simulink and the simulations results show the efficiency and robustness of the proposed control strategy.

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