Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124091
A. Khumaidi, E. M. Yuniarno, M. Purnomo
Visual inspection process for weld defects still manually operated by human vision, so the result of the test still highly subjective. In this research, the visual inspection process will be done through image processing on the image sequence to make data accuracy more better. CNN as one of the image processing technique can determine the feature automatically which is suitable for this problem in order to classify the variation of each weld defect pattern. Classification using Convolution Neural Network (CNN) consist of two stages: extraction image using image convolution and image classification using neural network. Gaussian kernel used for blurring image, it helps the extraction of images without losing the main information from the original image, this filter also minimize the occurrence of interference or noise. Results of the classification used to get the category of weld defects with high accuracy as a variable of a weld inspection process whether the weld is pass the standard or not. The proposed system has obtained classification with validation accuracy of 95.83% for four different type of welding defect. The data input of this research is the result of images captured by a webcam.
{"title":"Welding defect classification based on convolution neural network (CNN) and Gaussian kernel","authors":"A. Khumaidi, E. M. Yuniarno, M. Purnomo","doi":"10.1109/ISITIA.2017.8124091","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124091","url":null,"abstract":"Visual inspection process for weld defects still manually operated by human vision, so the result of the test still highly subjective. In this research, the visual inspection process will be done through image processing on the image sequence to make data accuracy more better. CNN as one of the image processing technique can determine the feature automatically which is suitable for this problem in order to classify the variation of each weld defect pattern. Classification using Convolution Neural Network (CNN) consist of two stages: extraction image using image convolution and image classification using neural network. Gaussian kernel used for blurring image, it helps the extraction of images without losing the main information from the original image, this filter also minimize the occurrence of interference or noise. Results of the classification used to get the category of weld defects with high accuracy as a variable of a weld inspection process whether the weld is pass the standard or not. The proposed system has obtained classification with validation accuracy of 95.83% for four different type of welding defect. The data input of this research is the result of images captured by a webcam.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122575274","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124087
N. Setyawan, R. E. A. Kadir, A. Jazidie
Path planning based on heuristic optimization method is developed to simplify the path planning issues into optimization problems. Particle Swarm Optimization (PSO) is one of the heuristic optimization methods often used because of its simplicity, easy to implement and has few parameters to set. However, the basic PSO algorithm has difficulties balancing exploration and exploitation, and suffer from premature convergence, it efficiency to solve path planning problem may be restricted. Aiming to overcome these drawbacks and solving the path planning problem efficiently, this paper proposed the Gaussian parameter updating rule use to speed up the convergence by maintaining exploration and exploitation of the particle. Then, particle re-initialization is proposed after analyzing the behavior of PSO algorithm to prevent premature convergence. Simulation result shows in benchmark test with Adaptive Inertia (AIW) PSO and standard PSO that the proposed PSO algorithm can find optimal solution /aster than the other algorithm which can convergence in less than 150 iterations. Furthermore, particle re-initialization can find optimal solution efficiently which result in 3% more shortest, 10% more smooth and guaranteed to collision free path.
{"title":"Adaptive Gaussian parameter particle swarm optimization and its implementation in mobile robot path planning","authors":"N. Setyawan, R. E. A. Kadir, A. Jazidie","doi":"10.1109/ISITIA.2017.8124087","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124087","url":null,"abstract":"Path planning based on heuristic optimization method is developed to simplify the path planning issues into optimization problems. Particle Swarm Optimization (PSO) is one of the heuristic optimization methods often used because of its simplicity, easy to implement and has few parameters to set. However, the basic PSO algorithm has difficulties balancing exploration and exploitation, and suffer from premature convergence, it efficiency to solve path planning problem may be restricted. Aiming to overcome these drawbacks and solving the path planning problem efficiently, this paper proposed the Gaussian parameter updating rule use to speed up the convergence by maintaining exploration and exploitation of the particle. Then, particle re-initialization is proposed after analyzing the behavior of PSO algorithm to prevent premature convergence. Simulation result shows in benchmark test with Adaptive Inertia (AIW) PSO and standard PSO that the proposed PSO algorithm can find optimal solution /aster than the other algorithm which can convergence in less than 150 iterations. Furthermore, particle re-initialization can find optimal solution efficiently which result in 3% more shortest, 10% more smooth and guaranteed to collision free path.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"13 31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122575993","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124065
Yun Tonce Kusuma Priyanto, M. Maulana, A. Giyantara
This paper presents chaotic bat algorithm to solve dynamic economic dispatch (DED) problem. Various load in 4 hours considering to solve the DED problem which focused on minimizing the total cost of generation power in each hour. To demonstrate the effectiveness of the proposed method, the DED problem performed on 150 kV Mahakam power system on East Kalimantan and compared with bat algorithm and particle swarm optimization. The result shows the proposed method provide a good and reliable result compared to the other method used in this paper.
{"title":"Dynamic economic dispatch using chaotic bat algorithm on 150kV Mahakam power system","authors":"Yun Tonce Kusuma Priyanto, M. Maulana, A. Giyantara","doi":"10.1109/ISITIA.2017.8124065","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124065","url":null,"abstract":"This paper presents chaotic bat algorithm to solve dynamic economic dispatch (DED) problem. Various load in 4 hours considering to solve the DED problem which focused on minimizing the total cost of generation power in each hour. To demonstrate the effectiveness of the proposed method, the DED problem performed on 150 kV Mahakam power system on East Kalimantan and compared with bat algorithm and particle swarm optimization. The result shows the proposed method provide a good and reliable result compared to the other method used in this paper.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122585983","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124075
Labib Muttaqin, D. A. Asfani, I. M. Y. Negara, Dapis
In this study, the experimental of accelerated aging in induction motor insulation is done in a loaded state with high humidity influence and under effects of contaminant. The method used to evaluate the condition of the motor is polarization index (PI), oscillatory response test (surge test) and LCR measurement. PI is used to determine the value of polarization index and custody coil insulation via measured four direct current during the test. Oscillatory response test used to determine differences in the quality of the coil insulation based on the response to the wave oscillation with error area ratio (EAR) method. While the LCR measurement is used to detect the value of inductance, capacitance and resistance arising from the influence of humidity and contaminant in the stator's coil. Furthermore, the output PI variable and oscillation response test and LCR measurement compared to getting the tendency chart damage. Based on test results, EAR method is faster to detect decrease coil insulation in the second test by 30.5 %. Meanwhile, the new PI value was changes in its value in the fourth test. While the LCR value is not significant.
{"title":"Analysis of acceleration in aging insulation due to the effect of humidity and contaminant in induction motor loaded","authors":"Labib Muttaqin, D. A. Asfani, I. M. Y. Negara, Dapis","doi":"10.1109/ISITIA.2017.8124075","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124075","url":null,"abstract":"In this study, the experimental of accelerated aging in induction motor insulation is done in a loaded state with high humidity influence and under effects of contaminant. The method used to evaluate the condition of the motor is polarization index (PI), oscillatory response test (surge test) and LCR measurement. PI is used to determine the value of polarization index and custody coil insulation via measured four direct current during the test. Oscillatory response test used to determine differences in the quality of the coil insulation based on the response to the wave oscillation with error area ratio (EAR) method. While the LCR measurement is used to detect the value of inductance, capacitance and resistance arising from the influence of humidity and contaminant in the stator's coil. Furthermore, the output PI variable and oscillation response test and LCR measurement compared to getting the tendency chart damage. Based on test results, EAR method is faster to detect decrease coil insulation in the second test by 30.5 %. Meanwhile, the new PI value was changes in its value in the fourth test. While the LCR value is not significant.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"57 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116333327","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124063
I. Sulistiawati, Khaikal Mudatsir Rosidin, A. Lomi
The existence of new power injection at a system will effect system stability that existed before, so stability analyze was needed to know the system conditioning before and after power injection, and performance system after disturbance, by observe rotor angle, frequency, and voltage. The result of dynamic system show that power injection of Gen XY can supply 0,021 pu at bus 1, 0,001 at bus 2, 0,001 at bus 3, 0,0261 pu at bus 4, 0,0366 pu at bus 5, 0,0186 pu at bus 6, 0,0101 pu at bus 7, 0,0083 pu at bus 8, 0,0061 pu at bus 9. When 3 phase fault during 1–2 second happened, the frequency and rotor angle increasing. When generator XY inject system with 50 MW, the modified IEEE 3 Generator 9 Bus become increase with frequency 60.27 Hz, voltage profile increasing, rotor angle decreased close to normal conditions.
{"title":"Dynamic stability modified IEEE 3 generator 9 bus with 50 MW power injection of generator XY","authors":"I. Sulistiawati, Khaikal Mudatsir Rosidin, A. Lomi","doi":"10.1109/ISITIA.2017.8124063","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124063","url":null,"abstract":"The existence of new power injection at a system will effect system stability that existed before, so stability analyze was needed to know the system conditioning before and after power injection, and performance system after disturbance, by observe rotor angle, frequency, and voltage. The result of dynamic system show that power injection of Gen XY can supply 0,021 pu at bus 1, 0,001 at bus 2, 0,001 at bus 3, 0,0261 pu at bus 4, 0,0366 pu at bus 5, 0,0186 pu at bus 6, 0,0101 pu at bus 7, 0,0083 pu at bus 8, 0,0061 pu at bus 9. When 3 phase fault during 1–2 second happened, the frequency and rotor angle increasing. When generator XY inject system with 50 MW, the modified IEEE 3 Generator 9 Bus become increase with frequency 60.27 Hz, voltage profile increasing, rotor angle decreased close to normal conditions.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115312979","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124050
A. V. Bukit, Wirawan
Digital video compression techniques have an important role that makes transmission and storage of multimedia content in bandwidth and storage space limited environment efficient. This paper describes 3D video coding using FPGA encoder architecture for newer and more reliable multimedia technologies to drive the industry to improve services in the field of entertainment marketing, to encourage the popularization of 3D video content, supporting devices 3D capabilities, and 3D applications. As a phenomenon that occurs at this time, smartphones, tablets, and other mobile devices has surpassed the value of PC sales. Along with the growing popularity of 3D video and be applied to the mobile device, resulting in the need for storage, data transmission, and display requires an efficient coding. The design is described in VHDL and synthesized to Zynq 7000 AP SoC FPGA. The throughput of the FPGA architecture reaches a processing at 666 MHz, RAM frequency 533 MHz permitting its use in H.265/HEVC standard directed to HDTV. To improve reliability in the process of encoder, one of which can be done by implementing a code HEVC to Zynq 7000 AP SoC.
数字视频压缩技术对于在带宽和存储空间有限的环境下高效传输和存储多媒体内容具有重要作用。本文介绍了采用FPGA编码器架构进行3D视频编码的更新、更可靠的多媒体技术，以推动行业在娱乐营销领域提高服务水平，鼓励3D视频内容、配套设备3D能力和3D应用的普及。作为一种现象，智能手机、平板电脑和其他移动设备的销售额已经超过了PC。随着3D视频的日益普及和在移动设备上的应用，产生了对存储、数据传输、显示都需要高效编码的需求。该设计用VHDL语言描述，并合成到zynq7000 AP SoC FPGA上。FPGA架构的吞吐量达到666 MHz的处理，RAM频率为533 MHz，允许其用于针对HDTV的H.265/HEVC标准。为了提高编码器过程中的可靠性，可以通过在zynq7000 AP SoC上实现代码HEVC来实现。
{"title":"3D video coding development based on FPGA platform Xilinx Zynq-7000","authors":"A. V. Bukit, Wirawan","doi":"10.1109/ISITIA.2017.8124050","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124050","url":null,"abstract":"Digital video compression techniques have an important role that makes transmission and storage of multimedia content in bandwidth and storage space limited environment efficient. This paper describes 3D video coding using FPGA encoder architecture for newer and more reliable multimedia technologies to drive the industry to improve services in the field of entertainment marketing, to encourage the popularization of 3D video content, supporting devices 3D capabilities, and 3D applications. As a phenomenon that occurs at this time, smartphones, tablets, and other mobile devices has surpassed the value of PC sales. Along with the growing popularity of 3D video and be applied to the mobile device, resulting in the need for storage, data transmission, and display requires an efficient coding. The design is described in VHDL and synthesized to Zynq 7000 AP SoC FPGA. The throughput of the FPGA architecture reaches a processing at 666 MHz, RAM frequency 533 MHz permitting its use in H.265/HEVC standard directed to HDTV. To improve reliability in the process of encoder, one of which can be done by implementing a code HEVC to Zynq 7000 AP SoC.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124512918","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124064
S. Budi, Aziz Nurdiansyah, A. Lomi
System ability to continuously supply load is very important. One of the factors that influence that system ability is frequency and voltage stability. Frequency and voltage stability need to be considered during electrical power planning and operating to avoid system instability that can cause system blackout. Load shedding need to be done to restore the system into normal condition after interference or system instability. This research discusses impact of load shedding on frequency and voltage system.
{"title":"Impact of load shedding on frequency and voltage system","authors":"S. Budi, Aziz Nurdiansyah, A. Lomi","doi":"10.1109/ISITIA.2017.8124064","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124064","url":null,"abstract":"System ability to continuously supply load is very important. One of the factors that influence that system ability is frequency and voltage stability. Frequency and voltage stability need to be considered during electrical power planning and operating to avoid system instability that can cause system blackout. Load shedding need to be done to restore the system into normal condition after interference or system instability. This research discusses impact of load shedding on frequency and voltage system.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122150518","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124102
Handi Rahmannuri, M. Rivai, T. A. Sardjono
In a measurement system, it is sometimes necessary to extract very small sensor signals from noise. This study performs a digital lock-in amplifier implemented on an ARM Microcontroller for detecting low concentration gas. This lock-in system has the ability to increase the sensitivity or signal to noise ratio. In the experiment, the lock-in system with the varies gain and cutoff frequency. The sensitivity and the signal to noise ratio can be considerably improved by means of the proposed system. The results showed that the signal to noise ratio of the original signal and the lock-in system with the unity gain were −4.73 dB and 4.08 dB, respectively. The higher gain implemented on the lock-in system would produce the higher signal to noise ratio. The lock-in system has also been tested for detecting of carbon monoxide gas resulting a signal to noise ratio of the gas sensor and the lock-in system are 3.9 and 15.6 dB, respectively.
{"title":"Design of digital lock-in amplifier for low concentration gas detection","authors":"Handi Rahmannuri, M. Rivai, T. A. Sardjono","doi":"10.1109/ISITIA.2017.8124102","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124102","url":null,"abstract":"In a measurement system, it is sometimes necessary to extract very small sensor signals from noise. This study performs a digital lock-in amplifier implemented on an ARM Microcontroller for detecting low concentration gas. This lock-in system has the ability to increase the sensitivity or signal to noise ratio. In the experiment, the lock-in system with the varies gain and cutoff frequency. The sensitivity and the signal to noise ratio can be considerably improved by means of the proposed system. The results showed that the signal to noise ratio of the original signal and the lock-in system with the unity gain were −4.73 dB and 4.08 dB, respectively. The higher gain implemented on the lock-in system would produce the higher signal to noise ratio. The lock-in system has also been tested for detecting of carbon monoxide gas resulting a signal to noise ratio of the gas sensor and the lock-in system are 3.9 and 15.6 dB, respectively.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132694985","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124090
A. Nugraha, T. Agustinah
The development of quadcopter technology has much increasing, such as in military and law enforcement agencies, for surveillance, reconnaissance and rescue mission. Also in scientific sides, it is used for mapping the condition of wind speed, detecting radiation sources, maintenance and survey. Quadcopter is a system that still have problem, which is stability, and because of that it can easily get interference from outside. This characteristic leads to the difficulties in automatic controlling the following path and set the heading of Quadcopter. Based on this problem, this paper provides the design of following path control on the horizontal plane by adding Line Of Sight algorithm so it will produce the smallest error possible. The result of the simulation show that the method which used can bring the yaw angle at the expected value algorithm. Quadcopter can do automatically following path with cross track error mean ±0.07 meters.
{"title":"Quadcopter path following control design using output feedback with command generator tracker based on LOS","authors":"A. Nugraha, T. Agustinah","doi":"10.1109/ISITIA.2017.8124090","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124090","url":null,"abstract":"The development of quadcopter technology has much increasing, such as in military and law enforcement agencies, for surveillance, reconnaissance and rescue mission. Also in scientific sides, it is used for mapping the condition of wind speed, detecting radiation sources, maintenance and survey. Quadcopter is a system that still have problem, which is stability, and because of that it can easily get interference from outside. This characteristic leads to the difficulties in automatic controlling the following path and set the heading of Quadcopter. Based on this problem, this paper provides the design of following path control on the horizontal plane by adding Line Of Sight algorithm so it will produce the smallest error possible. The result of the simulation show that the method which used can bring the yaw angle at the expected value algorithm. Quadcopter can do automatically following path with cross track error mean ±0.07 meters.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132708072","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}
Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124079
M. Ridwan, D. Riawan, H. Suryoatmojo
In this paper, a Particle Swarm optimization (PSO) based controller is implemented to a BLDC motor. A PSO-based controller is designed for controlling BLDC motor speed with acceleration consideration. PSO is used to find the appropriate PI controller parameters, Kp and Ki according to the speed reference and response speed designed. The result shows that the PSO-based controller designed is able to control the speed of BLDC motor properly with the desired response speed.
{"title":"Particle swarm optimization-based BLDC motor speed controller with response speed consideration","authors":"M. Ridwan, D. Riawan, H. Suryoatmojo","doi":"10.1109/ISITIA.2017.8124079","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124079","url":null,"abstract":"In this paper, a Particle Swarm optimization (PSO) based controller is implemented to a BLDC motor. A PSO-based controller is designed for controlling BLDC motor speed with acceleration consideration. PSO is used to find the appropriate PI controller parameters, Kp and Ki according to the speed reference and response speed designed. The result shows that the PSO-based controller designed is able to control the speed of BLDC motor properly with the desired response speed.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129442486","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}
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