Pub Date : 2017-10-01DOI: 10.23919/ICCAS.2017.8204201
Ajmal Shahbaz, K. Jo
This paper proposes optimal color space based probabilistic foreground detector. The intuition is to employ two most widely used color spaces (RGB and YCbCr) one at a time to model background. A decision criteria to select optimal color space is based on mean squared error (MSE). Initial frames (say 100) without any foreground information are used to compute MSE for both color spaces. Color space with minimum MSE is selected as optimal color space (OCS). Afterwards, OCS is used to model background and detect moving information. Gaussian Mixture Models (GMM) based foreground detector is used for the purpose. Furthermore, foreground mask is cleaned from undesirable noise using morphological operations. The proposed method is tested using change detection dataset. It shows promising results and outperforms conventional GMM.
{"title":"Exploiting color spaces for the task of foreground detection","authors":"Ajmal Shahbaz, K. Jo","doi":"10.23919/ICCAS.2017.8204201","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204201","url":null,"abstract":"This paper proposes optimal color space based probabilistic foreground detector. The intuition is to employ two most widely used color spaces (RGB and YCbCr) one at a time to model background. A decision criteria to select optimal color space is based on mean squared error (MSE). Initial frames (say 100) without any foreground information are used to compute MSE for both color spaces. Color space with minimum MSE is selected as optimal color space (OCS). Afterwards, OCS is used to model background and detect moving information. Gaussian Mixture Models (GMM) based foreground detector is used for the purpose. Furthermore, foreground mask is cleaned from undesirable noise using morphological operations. The proposed method is tested using change detection dataset. It shows promising results and outperforms conventional GMM.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129991635","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204289
R. Raha
In recent times adaptive regulation of sampling rates has gained significant attention in research community and researchers has demonstrated it's effectiveness in embedded control applications from different perspectives. In low power embedded control systems, the sampling rate of the control tasks has a direct relationship with control performance and power consumption. In this paper, we investigate the possibility of improving the power efficiency of low power embedded control systems by regulating the sampling rate of the control tasks. On this regard, we present algorithmic approaches for on-line regulation of sampling rates of the control task under some power-performance trade-off. We present elaborative results which demonstrate the efficacy of our proposed approaches.
{"title":"Adaptive regulation of sampling rates for power efficient embedded control system design","authors":"R. Raha","doi":"10.23919/ICCAS.2017.8204289","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204289","url":null,"abstract":"In recent times adaptive regulation of sampling rates has gained significant attention in research community and researchers has demonstrated it's effectiveness in embedded control applications from different perspectives. In low power embedded control systems, the sampling rate of the control tasks has a direct relationship with control performance and power consumption. In this paper, we investigate the possibility of improving the power efficiency of low power embedded control systems by regulating the sampling rate of the control tasks. On this regard, we present algorithmic approaches for on-line regulation of sampling rates of the control task under some power-performance trade-off. We present elaborative results which demonstrate the efficacy of our proposed approaches.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130189991","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204445
Nilesh Suriyarachchi, P. Jayasekara, T. Kubota
Pose tracking for outdoor rovers is generally a complex task which is further complicated in conditions where a Global Positioning System (GPS) signal is denied such as in planetary exploration, underground mines and covered areas. In these conditions the rover's pose needs to be calculated purely based on the rover's current environment observations. However, conventional wheel odometry is not reliable on rough terrain where wheels are prone to slip and the wheels do not have a common plane of motion due to suspension systems. This paper proposes a Fast State Variable Extension (Fast-SVE) method in which 2D state variables (x, y, yaw) are extended to the full 3D state (x, y, z, roll, pitch, yaw) to achieve effective real time 3D pose tracking of the rover. A particle filter implementation incorporating the Fast-SVE method is used to track the 3D pose of the rover with roll and pitch values used for weighting. An Enhanced Motion Model (EMM) is also proposed to further improve the accuracy of 2D pose prediction in the particle filter.
{"title":"3D pose tracking for GPS-denied terrain rovers by fast state variable extension and enhanced motion model","authors":"Nilesh Suriyarachchi, P. Jayasekara, T. Kubota","doi":"10.23919/ICCAS.2017.8204445","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204445","url":null,"abstract":"Pose tracking for outdoor rovers is generally a complex task which is further complicated in conditions where a Global Positioning System (GPS) signal is denied such as in planetary exploration, underground mines and covered areas. In these conditions the rover's pose needs to be calculated purely based on the rover's current environment observations. However, conventional wheel odometry is not reliable on rough terrain where wheels are prone to slip and the wheels do not have a common plane of motion due to suspension systems. This paper proposes a Fast State Variable Extension (Fast-SVE) method in which 2D state variables (x, y, yaw) are extended to the full 3D state (x, y, z, roll, pitch, yaw) to achieve effective real time 3D pose tracking of the rover. A particle filter implementation incorporating the Fast-SVE method is used to track the 3D pose of the rover with roll and pitch values used for weighting. An Enhanced Motion Model (EMM) is also proposed to further improve the accuracy of 2D pose prediction in the particle filter.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130873743","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204304
Abdulhafiz Chesof, S. Panaudomsup, T. Cheypoca
The objective is to evaluate the performance of an explicit model predictive control for controlling the room temperature actuated by the on-off air conditioner to minimize the energy usage by reducing the working time of a compressor. There are a lot of on-off air conditioners already installed in the educational building in Thailand. To replace all of those by the inverter air conditioner or HVAC system, the high investment cost is required. Therefore, the on-off air conditioners continue to work in such building. The effective solution may be the low cost control unit which is simple like a remote control. The method is to design the remote control embedded by the temperature sensor and the explicit model predictive control that is based on the off-line optimization. The experiment is performed in the laboratory room with dimension 4×7×3.5 m (WxLxH) actuated by Saijo Denki 18,320 Btu on-off air conditioner. The experimental results reveal that the temperature reaches the desired value 25 degree Celsius within 10 minute and keeps fluctuating between 23 and 26 degree Celsius. The working time of compressor is reduced 33.33 %. The result shows that the explicit model predictive control is effective for the remote control application in terms of the implementation and energy saving.
目的是评估一种显式模型预测控制的性能，用于控制由开关空调驱动的室温，通过减少压缩机的工作时间来最大限度地减少能源使用。泰国的教育大楼里已经安装了很多开关式空调。如果全部用变频空调或暖通空调系统替代，投资成本高。因此，在这样的建筑中，开关式空调继续工作。有效的解决方案可能是像遥控器一样简单的低成本控制单元。该方法是设计嵌入温度传感器的远程控制和基于离线优化的显式模型预测控制。实验在尺寸为4×7×3.5 m (WxLxH)的试验室中进行，由Saijo Denki 18320 Btu开关空调驱动。实验结果表明，温度在10分钟内达到所需值25℃，并在23 ~ 26℃之间波动。压缩机工作时间缩短33.33%。结果表明，显式模型预测控制在实现和节能方面对远程控制应用是有效的。
{"title":"Evaluation of explicit model predictive temperature control for on-off air conditioner","authors":"Abdulhafiz Chesof, S. Panaudomsup, T. Cheypoca","doi":"10.23919/ICCAS.2017.8204304","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204304","url":null,"abstract":"The objective is to evaluate the performance of an explicit model predictive control for controlling the room temperature actuated by the on-off air conditioner to minimize the energy usage by reducing the working time of a compressor. There are a lot of on-off air conditioners already installed in the educational building in Thailand. To replace all of those by the inverter air conditioner or HVAC system, the high investment cost is required. Therefore, the on-off air conditioners continue to work in such building. The effective solution may be the low cost control unit which is simple like a remote control. The method is to design the remote control embedded by the temperature sensor and the explicit model predictive control that is based on the off-line optimization. The experiment is performed in the laboratory room with dimension 4×7×3.5 m (WxLxH) actuated by Saijo Denki 18,320 Btu on-off air conditioner. The experimental results reveal that the temperature reaches the desired value 25 degree Celsius within 10 minute and keeps fluctuating between 23 and 26 degree Celsius. The working time of compressor is reduced 33.33 %. The result shows that the explicit model predictive control is effective for the remote control application in terms of the implementation and energy saving.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124625200","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204251
Madhusudan Singh, Shiho Kim
An intelligent vehicle (Self-driving) is an emerging research area. Presently, many industries, research organizations and universities are working on intelligent vehicles. Some researchers are working on security issues of intelligent vehicles (IV). Most of the researchers focus on static security (static security cannot adapt to the changes in the environment). Since the environment of IV is dynamically changing, the approach of static security is not feasible to provide reconcile cyber-security in IV. Reconciling systems evolve in a very uncertain environment and try to fulfill a business objective by sensing the environment, analyzing it and taking the best decision according to its requirements. In this paper, we discuss reconcile security requirements engineering to provide cyber-security in IV. To fulfill our objective, we use the goal modeling approach of RE, the Knowledge Acquisition in Automated Specification (KAOS) Model approach, and designed it using Objectiver tool to find the reconciling requirements. Self-reconciliation in requirement engineering is acquired by five building blocks such as Monitor, Analyze, Plan, Execute and Knowledge i.e. [MAPE-K] loop architecture, which provides the reconciling capabilities to our proposed reconciling requirements for cyber-security in IV.
{"title":"Reconcile security requirements for intelligent vehicles","authors":"Madhusudan Singh, Shiho Kim","doi":"10.23919/ICCAS.2017.8204251","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204251","url":null,"abstract":"An intelligent vehicle (Self-driving) is an emerging research area. Presently, many industries, research organizations and universities are working on intelligent vehicles. Some researchers are working on security issues of intelligent vehicles (IV). Most of the researchers focus on static security (static security cannot adapt to the changes in the environment). Since the environment of IV is dynamically changing, the approach of static security is not feasible to provide reconcile cyber-security in IV. Reconciling systems evolve in a very uncertain environment and try to fulfill a business objective by sensing the environment, analyzing it and taking the best decision according to its requirements. In this paper, we discuss reconcile security requirements engineering to provide cyber-security in IV. To fulfill our objective, we use the goal modeling approach of RE, the Knowledge Acquisition in Automated Specification (KAOS) Model approach, and designed it using Objectiver tool to find the reconciling requirements. Self-reconciliation in requirement engineering is acquired by five building blocks such as Monitor, Analyze, Plan, Execute and Knowledge i.e. [MAPE-K] loop architecture, which provides the reconciling capabilities to our proposed reconciling requirements for cyber-security in IV.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126359873","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}
This paper presents the development and a real-time implementation of controlled environment greenhouse by using a proportional plus integral (PI) controller based on the microcontroller STM32 and wireless sensor network by using MATLAB/Simulink program to control temperature and humidity. The modelling of the greenhouse is done by using a System Identification toolbox in MATLAB which is identified approximated to be a first order plus dead time system (FOPDT). The PI controller is designed based on Cohen-Coon tuning algorithm. The temperature and humidity sensors are connected with FiO Glide boards to send data to the micro-controller STM32F4 with radio frequencies to control temperature and humidity appropriately by using the PI algorithm and send signals for control the fan and fog sprayer. The size of greenhouse is 2×3×2 meters. The experimental results show that, the PI controller base on microcontroller STM32 can be controlled the inside temperature is lower than the outside temperature of 4 degrees Celsius. And the environment of greenhouse system has improved significantly.
{"title":"The implementation of PI controller for evaporative cooling system in controlled environment greenhouse","authors":"Maitree Thumma Witchupong Wiboonjaroen, Thanat Sooknuan","doi":"10.23919/ICCAS.2017.8204344","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204344","url":null,"abstract":"This paper presents the development and a real-time implementation of controlled environment greenhouse by using a proportional plus integral (PI) controller based on the microcontroller STM32 and wireless sensor network by using MATLAB/Simulink program to control temperature and humidity. The modelling of the greenhouse is done by using a System Identification toolbox in MATLAB which is identified approximated to be a first order plus dead time system (FOPDT). The PI controller is designed based on Cohen-Coon tuning algorithm. The temperature and humidity sensors are connected with FiO Glide boards to send data to the micro-controller STM32F4 with radio frequencies to control temperature and humidity appropriately by using the PI algorithm and send signals for control the fan and fog sprayer. The size of greenhouse is 2×3×2 meters. The experimental results show that, the PI controller base on microcontroller STM32 can be controlled the inside temperature is lower than the outside temperature of 4 degrees Celsius. And the environment of greenhouse system has improved significantly.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125846887","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204309
M. Iwai
In nonlinear systems, chaos may exsist in some's parameters and may cause some unexpected damage. This paper proposes a design method of a reset controller for nonlinear chaotic systems. We consider a plant consisting of a linear system with a nonlinear feedback element and show a condition of the parameter for which chaos controls, using describing functions of the nonlinear element and the reset controller. We apply the proposed design method of the reset controller to the forced Van der Pol equation system and show its effectiveness.
{"title":"Reset control of nonlinear chaotic systems using describing function","authors":"M. Iwai","doi":"10.23919/ICCAS.2017.8204309","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204309","url":null,"abstract":"In nonlinear systems, chaos may exsist in some's parameters and may cause some unexpected damage. This paper proposes a design method of a reset controller for nonlinear chaotic systems. We consider a plant consisting of a linear system with a nonlinear feedback element and show a condition of the parameter for which chaos controls, using describing functions of the nonlinear element and the reset controller. We apply the proposed design method of the reset controller to the forced Van der Pol equation system and show its effectiveness.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114281783","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204438
C. Woelfel, Sven Kockmann, P. Awakowicz, J. Lunze
A nonlinear control-oriented model for sputter processes based on artificial neural networks and ordinary differential equations is developed. The process is analyzed by use of first-principle models to approximate the process structure. Hence, sputter processes can be described by a static nonlinearity, which results from the plasma processes, and linear and nonlinear dynamics that represent the actuator systems. The experimental identification with a validation of the proposed process structure, the identification of the parameters and the validation of the identified model are discussed. The experiments demonstrate that the identified model predicts the process behavior accurately and can be used for model-based control design.
{"title":"Model identification of nonlinear sputter processes","authors":"C. Woelfel, Sven Kockmann, P. Awakowicz, J. Lunze","doi":"10.23919/ICCAS.2017.8204438","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204438","url":null,"abstract":"A nonlinear control-oriented model for sputter processes based on artificial neural networks and ordinary differential equations is developed. The process is analyzed by use of first-principle models to approximate the process structure. Hence, sputter processes can be described by a static nonlinearity, which results from the plasma processes, and linear and nonlinear dynamics that represent the actuator systems. The experimental identification with a validation of the proposed process structure, the identification of the parameters and the validation of the identified model are discussed. The experiments demonstrate that the identified model predicts the process behavior accurately and can be used for model-based control design.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127543898","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204294
J. Jeon, Jong-Moon Kim
The new cylindrical magnetic levitation stage is presented in this paper. This stage can move the cylinder to rotations and translations as well as magnetic levitations with high precision. This stage can be rotated with 360° and can be moved to translational directions within few millimeters. A Lead-PI control algorithm is used for the position control and a PI control algorithm is used for the current control. A system identification method from input and output experimental data is used for 2nd-order State-space dynamic modeling. Parameters of Lead-PI control is decided properly with this model. The new cylindrical mag-lev stage is experimented with in-positioning and rotations with nano-scale precisions.
{"title":"A cylindrical magnetic levitation stage for high-precision rotations","authors":"J. Jeon, Jong-Moon Kim","doi":"10.23919/ICCAS.2017.8204294","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204294","url":null,"abstract":"The new cylindrical magnetic levitation stage is presented in this paper. This stage can move the cylinder to rotations and translations as well as magnetic levitations with high precision. This stage can be rotated with 360° and can be moved to translational directions within few millimeters. A Lead-PI control algorithm is used for the position control and a PI control algorithm is used for the current control. A system identification method from input and output experimental data is used for 2nd-order State-space dynamic modeling. Parameters of Lead-PI control is decided properly with this model. The new cylindrical mag-lev stage is experimented with in-positioning and rotations with nano-scale precisions.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130118509","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204257
Byeong-Chan Jeon, Won-ki Park, Sung-Chul Lee, Hyun-chul Shin
The Brushless DC motors are used in various industries such as home appliances, electric vehicles, Medical, Industrial automation equipment and so on. Because they have advantages of low noise, simple control and high power density. But, in a high-speed motor drive, current lagging which is induced by the impedance of the motor inductor reduces the motor efficiency. To solve this problem, we propose an auto lead angle control algorithm based on a gradient descent algorithm. With this algorithm, the motor current and motor Back-EMF have an identical phase angle. Thus, the efficiency of the motor can be increased. In order to verify the proposed algorithm, we implemented the hardware with FPGA and board including analog circuit. As a result, it was confirmed that the optimum lead angle was found with only one current value without various parameters, and the efficiency of the motor was improved. Also, it is confirmed that the efficiency is further increased at high load and high speed.
{"title":"Auto lead angle algorithm for high efficiency control of BLDC Motor","authors":"Byeong-Chan Jeon, Won-ki Park, Sung-Chul Lee, Hyun-chul Shin","doi":"10.23919/ICCAS.2017.8204257","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204257","url":null,"abstract":"The Brushless DC motors are used in various industries such as home appliances, electric vehicles, Medical, Industrial automation equipment and so on. Because they have advantages of low noise, simple control and high power density. But, in a high-speed motor drive, current lagging which is induced by the impedance of the motor inductor reduces the motor efficiency. To solve this problem, we propose an auto lead angle control algorithm based on a gradient descent algorithm. With this algorithm, the motor current and motor Back-EMF have an identical phase angle. Thus, the efficiency of the motor can be increased. In order to verify the proposed algorithm, we implemented the hardware with FPGA and board including analog circuit. As a result, it was confirmed that the optimum lead angle was found with only one current value without various parameters, and the efficiency of the motor was improved. Also, it is confirmed that the efficiency is further increased at high load and high speed.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710267","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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