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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 1: March 2018" : 7 Documents clear
Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter Mahdi Heidari
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (684.795 KB) | DOI: 10.11591/ijra.v7i1.pp59-66

Abstract

This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate the wind speed based on the rotor speed and the output power. In addition to ANN, a predictive controller is used to maximize the efficiency of the boost converter. The method has been developed and analyzed by utilizing a turbine directly driven permanent-magnet synchronous generator (PMSG). The simulation results verify the performance of the proposed method. Results show that this method maximizes wind energy extraction with more accuracy and fastness.
Fuzzy Takagi-Sugeno Method in Microcontroller Based Water Tank System Nur Maisarah Mohd Sobran; Munirah Mohd Salmi; Mohd Bazli Bahar; Md Nazri Othman; Siti Halma Johari
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (506.022 KB) | DOI: 10.11591/ijra.v7i1.pp1-7

Abstract

This paper present the performance of Fuzzy logic controller in maintain level of water in water tank system. The mathematical modelling was developed to get the initial idea of the system performance. Later, the prototype of water tank system were constructed and tested to get the real time results. The Takagi-Sugeno “on” and “off” interference technique method was implemented due to the control limitation of the pump motor that being used in the experimental setup. The fuzzy logic controller was realized by embedded the algorithm in microcontroller of the water tank system. The experimental results show acceptable level of water within the range of 18cm to 20.5cm and settling time 59 seconds with 20 cm set point.
An Actor-critic Algorithm Using Cross Evaluation of Value Functions Hui Wang; Peng Zhang; Quan Liu
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (787.298 KB) | DOI: 10.11591/ijra.v7i1.pp39-47

Abstract

In order to overcome the difficulty of learning a global optimal policy caused by maximization bias in a continuous space, an actor-critic algorithm for cross evaluation of double value function is proposed. Two independent value functions make the critique closer to the real value function. And the actor is guided by a crossover function to choose its optimal actions. Cross evaluation of value functions avoids the policy jitter phenomenon behaved by greedy optimization methods in continuous spaces. The algorithm is more robust than CACLA learning algorithm, and the experimental results show that our algorithm is smoother and the stability of policy is improved obviously under the condition that the computation remains almost unchanged.
Exploration Strategies of Coordinated Multi-Robot System: A Comparative Study Ayman. El shenawy; Khalil. Mohamed; Hany. M. Harb
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.08 KB) | DOI: 10.11591/ijra.v7i1.pp48-58

Abstract

Environment Exploration is the basic process that most of Multi Robot Systems applications depend on it. The exploration process performance depends on the coordination strategy between the robots participating in the team.  In this paper the coordination of Multi Robot Systems in the exploration process is surveyed, and the performance of different Multi Robot Systems exploration strategies is contrasted and analyzed for different environments and different team sizes.
Investigation of Formation Control Approaches Considering the Ability of a Mobile Robot Hannes Wind; Oliver Sawodny; Thomas Br•aunl
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (957.65 KB) | DOI: 10.11591/ijra.v7i1.pp18-38

Abstract

This work investigates and compares various formation control approaches for mobile robots. A comprehensive literature review was conducted, with particular focus on the approaches' applicability to be implemented on real mobile robots with limited hard and software capabilities. A realistic model of mobile robots is introduced and its parameters are identi ed with measurements from actual mo-bile robots. Later on, the model is extended and used within simulation studies of the various investigated approaches. A collision avoidance controller based on a formation controller is proposed and simulations are carried out. Experiments on real mobile robots are conducted for two formation controllers and for the pro-posed collision avoidance controller. It is shown that if the requirements resulting from the simulation studies are satis ed, an implementation on the real robots is possible.
An Intelligent Controller Design Approach for MIMO Coupled Tank System Mohd Hafiz Jali; Ahmad Firdaus Azhar; Rozaimi Ghazali; Chong Chee Soon
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.352 KB) | DOI: 10.11591/ijra.v7i1.pp8-17

Abstract

Nowadays, versatilities of controllers have been developed to control the Coupled Tank System (CTS) such as proportional, integral, derivative (PID), fuzzy, fuzzy PID and neuro network. This paper focused on the control of the pump flow rate, in and out of the tank against the cross-sectional area of the CTS’s tank. The main objective of this paper is to design a CTS by using MATLAB since the Fuzzy Logic Controller (FLC) is widely utilized in the control of engineering applications in the industrial. Therefore, the FLC will be utilized to control and improve the performance of the CTS. The conventional PID controller will be applied, which reacts as a benchmark in the performance of the FLC. Parameters such as steady state error, settling time, and maximum overshoot will be part of the simulation results. As a result of the dynamic response executed in the closed-loop environment, it can be concluded that the FLC is capable of performing better than the conventional PID controller.
Harmonic Analysis of Three-phase Fixed Capacitor–thyristor Controlled Reactor under Balanced and Unbalanced Conditions Jayababu Badugu; Y. P.Obulesu; Ch. Saibabu
IAES International Journal of Robotics and Automation (IJRA) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.761 KB) | DOI: 10.11591/ijra.v7i1.pp67-76

Abstract

Three-phase Fixed Capacitor Thyristor Controlled Reactor is widely used for reactive power compensation in power systems because of reduced cost and high reliability.  The problem with FC-TCR is that to generate current harmonics when it is partially conducting. When this harmonic current is interacted with system impedance, voltage waveform will distorted. This harmonic pollution is undesirable in power systems. Therefore, it is important to know the harmonic behaviour of three-phase FC-TCR before they can be used in a power system network. This paper presents the harmonic analysis of three-phase FC-TCR operating under balanced and unbalanced conditions. This analysis is useful to design the harmonic filter to reduce the harmonic pollution in power systems.The proposed work is implemented in MATLAB environment.

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