M. Izadi, N. Mariun, M. R. Mehrjou, M. Kadir, N. Misron, M. Radzi
{"title":"Broken rotor bar fault detection in line start permanent magnet synchronous motor using transient current signal","authors":"M. Izadi, N. Mariun, M. R. Mehrjou, M. Kadir, N. Misron, M. Radzi","doi":"10.1109/I2CACIS.2016.7885288","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885288","url":null,"abstract":"One of the high efficiency motors that were introduced to the industry in recent times is Line Start Permanent Magnet Synchronous Motor (LS-PMSM). Fault detection of LS-PMSM is one of interesting issues. This article presents a new technique for broken rotor bar detection based on the values of Mean and RMS features obtained from captured start-up current in the time domain. The extracted features were analyzed using analysis of variance method to predict the motor condition. Starting load condition and its interaction on detection of broken rotor bar were also investigated. The statistical evaluation of means for each feature at different conditions was performed using Tukey's method as post-hoc procedure. The result showed that the applied features could able to detect the broken rotor bar fault in LS-PMSMs.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116407054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparative study of short prediction MPC-KF with PI controller for DC-DC buck converter","authors":"Erliza Serri, A. Z. Ahmad","doi":"10.1109/I2CACIS.2016.7885318","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885318","url":null,"abstract":"In nature, the DC-DC converter deals with high switching phenomenon that contributes to the higher conduction losses. Its operation conventionally associated with PI/PID controller in order to meet the desired output. To increase the DC-DC converter performance, an advanced controller has been proposed. However, it is deals with complex algorithm that made the controller cost higher. In this paper, the short prediction horizon of MPC using search tree optimization that generates low switching phenomenon is proposed. The optimal problem is being solve using on-line to reduce the computational effort. The Kalman filter is then used for load estimation. This control approach for DC-DC converter has produced the promising output transient performance when compared with conventional PI controller while also minimizing the switching losses phenomenon.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation on intermittent observation in mobile robot localization with fuzzy logic technique","authors":"H. Ahmad, N. A. Othman","doi":"10.1109/I2CACIS.2016.7885282","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885282","url":null,"abstract":"This paper deals with an analysis of intermittent observations for mobile robot localization with Fuzzy Logic approach. Mobile robot can easily lost its sight during environment observations due to several factors such as sensor faulty, and dynamic conditions. This can lead to erroneous estimation and the mobile robot become uncertain about its position. As a solution to this issue, this paper proposed a study on Fuzzy Logic technique to overcome such problem considering the Extended Kalman Filter(EKF) measurement innovation characteristic. The rules and fuzzy sets are designed such that it preserved good estimation whenever the relative angle and its relative distance measurements suddenly becomes larger than the previous measurements. The simulation results discusses two different cases observing the performance of the proposed technique. The results show that EKF with Fuzzy Logic technique is able to deal with intermittent observations if the design takes proper analysis and consideration on the measurement innovations.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130170327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"KANE's method for dynamic modeling","authors":"Zakia Hussain, N. Azlan","doi":"10.1109/I2CACIS.2016.7885310","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885310","url":null,"abstract":"Kane's method is becoming increasingly popular among the dynamists because of its advantages over the Newton-Euler and Lagrange. Many of the literatures have used Kane's method successfully to model the dynamic systems but none has provided a detailed and quick explanation on how to implement the method on a system. This paper provides a fast and easy guide to learn the Kane's method, especially for the beginners. A dynamic model of 3 DOF kinematic chain has been developed as an example to demonstrate the detailed steps involved in modeling using Kane's method. The formulated model is then verified successfully using Lagrange method.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Maghami, Alireza Maghoul, Samad Shirzadi Dehkohneh, C. Gomes, H. Hizam, M. L. Othman
{"title":"Hybrid renewable energy as power supply for shelter during natural disasters","authors":"M. Maghami, Alireza Maghoul, Samad Shirzadi Dehkohneh, C. Gomes, H. Hizam, M. L. Othman","doi":"10.1109/I2CACIS.2016.7885285","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885285","url":null,"abstract":"People are very vulnerable in case of natural disasters. Power grid destruction is a common disaster in these situations. Numerous costumers might easily lose access to electric power and this condition can continue for a long time after the catastrophe. Emergency shelter after occurrence of disasters is usually offered by organizations or governmental emergency administration departments, as a comeback to natural disasters, such as an earthquake or flood. They tend to use tents or other temporary structures, or buildings. This paper focus on design of a Smart Hybrid power supply for shelter which is supported from three renewable energy source (wind, rain and solar) that is available in each condition in order to be used during emergency situation as a portable facility by analyzing the power generation ability and also the load demand characteristics during natural disaster for relief shelters.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127942274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model-free wind farm control based on random search","authors":"Mohd Ashraf Ahmad, M. R. Hao, R. Ismail, A. Nasir","doi":"10.1109/I2CACIS.2016.7885302","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885302","url":null,"abstract":"This paper explores a model-free approach based on the random search (RS) algorithm for maximizing wind farms power production. The RS based approach is utilized to find the optimal control parameter of each turbine in maximizing the wind farm total power production. The Horns Rev wind farm model with turbulence interaction between turbines is used to validate the proposed approach. Simulation results demonstrate that the random search approach produces higher total power production as compared to the existing method.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116182268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nurnajmin Qasrina Ann, M. S. H. Achmad, L. Bayuaji, M. R. Daud, Dwi Pebrianti
{"title":"Study on 3D scene reconstruction in robot navigation using stereo vision","authors":"Nurnajmin Qasrina Ann, M. S. H. Achmad, L. Bayuaji, M. R. Daud, Dwi Pebrianti","doi":"10.1109/I2CACIS.2016.7885292","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885292","url":null,"abstract":"In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera parameters from the camera calibration process and disparity map are two important parameters to obtain an accurate result for the 3D reconstruction. 3D reconstruction process generates the coordinates of world points (point cloud). From the information of the point cloud, the interested object is segmented out. Additionally, the noises left in the image is eliminated. The experimental result obtained shows that only the background and the interested object from the overall scene appeared in the processed image. The center of gravity is also determined as the reference value for the robot navigation. An estimation error model is also introduced in this study to increase the accuracy of the distance measurement by using the developed stereo vision system from the mobile robot. This experiment provides a foundation for navigation and object tracking for a mobile robot.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114803698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. A. Azman, M. Rahiman, M. Taib, N. Sidek, I. Bakar, M. Ali
{"title":"A low cost nephelometric turbidity sensor for continual domestic water quality monitoring system","authors":"A. A. Azman, M. Rahiman, M. Taib, N. Sidek, I. Bakar, M. Ali","doi":"10.1109/I2CACIS.2016.7885315","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885315","url":null,"abstract":"This paper focuses on the design and development of a low cost nephelometric turbidity sensor for the continuity of domestic monitoring of water quality. The electronic turbidity sensor operates based on the scattered light intensity with regards to light scattering in solids and liquids. The electronic turbidity sensor used Light Emitting Diode (LED) as light transmitter, Light Dependent Resistor (LDR) as receiver, PIC 16F777 as a main processor and RS232 module for the integrated sensor communication between the computer. Laboratory experiments have been done by comparing the self-developed sensor with commercial turbidity meter (Hach 2100P) output of NTU. The advantages of the electronic turbidity sensor are lightweight, user friendly, low-power consumption, easy to monitor and low cost. Conclusively, the electronic turbidity sensor can be used as part of a low-cost sensor to provide continuous turbidity information of water quality directly to consumer. Laboratory tests are conducted and proven that the proposed devices produced a comparable NTU reading as commercial turbidity sensor. Moreover, with a low development cost of RM196.95, has been savings money compared to commercial turbidity sensor. Therefore, the development of this device can save cost and benefited to consumer by providing the water quality reading instantaneously.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114813762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Ismail, M. Rahiman, M. Taib, Mastura Ibrahim, S. Zareen, S. N. Tajuddin
{"title":"Observation on SPME different headspace fiber coupled with GC-MS in extracting high quality agarwood chipwood","authors":"N. Ismail, M. Rahiman, M. Taib, Mastura Ibrahim, S. Zareen, S. N. Tajuddin","doi":"10.1109/I2CACIS.2016.7885317","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885317","url":null,"abstract":"Agarwood is well known as one of the expensive woods in the world. It has a unique scent which brings it to have wide usages especially in perfumery ingredient, as incense, in traditional medical preparation, and as symbol of wealth. Due to that, this paper presents the analysis on chemical profiles of agarwood chipwood, as a part of agarwood grading system. The work involved of Solid Phase Microextraction (SPME) coupled with Gas Chromatography — Mass Spectrometry (GC-MS) GC-MS in extracting high quality. Three headspace fibers; PDMS-DVB, CAR-PDMS and DVB-CAR-PDMS were used during the extraction to identify the compounds with the sampling time of 60 minutes. The result showed that high quality agarwood chipwood is made up of terpene group which are monoterpene hydrocarbon, sesquiterpene hydrocarbon and oxygenated sesquiterpene. The relative peak areas (%) for compounds are tabulated and plotted. The finding in this study confirmed that the difference in compounds extracted and their relative peak area (%) are due to different fiber's polarity and absorbent, Thus, it is significant and benefit especially in agarwood oil quality grading and its related area.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125487453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applications of MPC and PI controls for liquid level control in coupled-tank systems","authors":"I. A. Shehu, N. Wahab","doi":"10.1109/I2CACIS.2016.7885300","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885300","url":null,"abstract":"The coupled-Tank (CT) system remains an important tool for research by process control engineers. However, effective control of the system depends largely on the accuracy of the mathematical model that predicts its dynamic behavior. In this work, the nonlinear model for the CT system based on analytical technique has been investigated. Linear models for the CT system were obtained based on analytical and empirical techniques. Accuracy of the linear models were investigated based on integral absolute error (IAE), were empirical model was found to be more accurate. Proportional integral (PI) control systems based on Ziegler Nichols (ZN), Ciancone correlation (CCR), Cohen Coon (CC), IMC and pole placement (PP) tuning methods were designed for liquid level control in the CT system tank 2. IAE results showed that PI controller did not meet all the specified control objectives. To improve the response, a neural network feedforward controller was incorporated to the PI controller and the response was compared to that of a model predictive controller (MPC). Simulations results showed that both PI-plus-feedforward and MPC satisfied all control specifications. However, MPC response was more satisfactory in terms of disturbance handling and time response criteria.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128129875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}