Pub Date : 2016-08-01DOI: 10.1109/ICMA.2016.7558697
M. Fu, Kuan Zhang, Yang Yi, Chao Shi
This paper provides a complete solution for landing a quadrotor Unmanned Aerial Vehicle (UAV) on an Unmanned Ground Vehicle (UGV) in the outdoor environment. An image-based visual servo control law and a GPS-based navigation method are proposed, and the former method acquires the visual feedback from the camera attached to the quadrotor, while the latter strategy is used when the visual feedback is absent. For achieving more precise and stable performance in visually guided landing process, we design a specific landing marker that can provide different features as the distance between the quadrotor and landing target changes. Meanwhile, the corresponding detection and recognition algorithms are raised. Finally, a simulation experiment is carried out to validate the proposed vision algorithms and control strategies.
{"title":"Autonomous landing of a quadrotor on an UGV","authors":"M. Fu, Kuan Zhang, Yang Yi, Chao Shi","doi":"10.1109/ICMA.2016.7558697","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558697","url":null,"abstract":"This paper provides a complete solution for landing a quadrotor Unmanned Aerial Vehicle (UAV) on an Unmanned Ground Vehicle (UGV) in the outdoor environment. An image-based visual servo control law and a GPS-based navigation method are proposed, and the former method acquires the visual feedback from the camera attached to the quadrotor, while the latter strategy is used when the visual feedback is absent. For achieving more precise and stable performance in visually guided landing process, we design a specific landing marker that can provide different features as the distance between the quadrotor and landing target changes. Meanwhile, the corresponding detection and recognition algorithms are raised. Finally, a simulation experiment is carried out to validate the proposed vision algorithms and control strategies.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127681669","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558637
M. Hattori, A. Ichikawa, K. Ohara, T. Fukuda, Masaru Takeuchi, M. Nakajima, Y. Hasegawa, Qiang Huang
In this paper, we conducted to assembly of microstructures for in vitro 3D cellular structures using self-assembly of magnetized hydrogels. The biocompatible hydrogel microstructures are fabricated by electrodeposition method and ferrite particles are coated on the structures with poly-L-lysine. The microstructures are magnetized by applying 3 T magnetic field, and assembled by the magnetic force. Biological cells can be encapsulated in the microstructures and cultured to achieve high density cell structures. The magnetic microstructures were assembled automatically to form tube structures. The magnetic force generated from the ferrite embedded microstructures was estimated and compared to the fluid resistance applied to the microstructures. The assembly of microstructures was achieved using a shaker to shake the structures inside liquid. The proposed method can be applied to assemble 3D cell structures with vascular-like channels for tissue engineering applications.
{"title":"Self-assembly of magnetized microstructures for in vitro cell systems","authors":"M. Hattori, A. Ichikawa, K. Ohara, T. Fukuda, Masaru Takeuchi, M. Nakajima, Y. Hasegawa, Qiang Huang","doi":"10.1109/ICMA.2016.7558637","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558637","url":null,"abstract":"In this paper, we conducted to assembly of microstructures for in vitro 3D cellular structures using self-assembly of magnetized hydrogels. The biocompatible hydrogel microstructures are fabricated by electrodeposition method and ferrite particles are coated on the structures with poly-L-lysine. The microstructures are magnetized by applying 3 T magnetic field, and assembled by the magnetic force. Biological cells can be encapsulated in the microstructures and cultured to achieve high density cell structures. The magnetic microstructures were assembled automatically to form tube structures. The magnetic force generated from the ferrite embedded microstructures was estimated and compared to the fluid resistance applied to the microstructures. The assembly of microstructures was achieved using a shaker to shake the structures inside liquid. The proposed method can be applied to assemble 3D cell structures with vascular-like channels for tissue engineering applications.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127935322","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558626
Zhiqiang Gao, Ke Zhang, Xuesong Zhou, Youjie Ma
Power quality problems have received more and more concerns in recent years. It has become an important topic in monitoring, controlling, and managing of the power quality. In this paper, the causes of power quality problems, significance of improving the power quality, development status, analysis and control method are mainly analyzed and reviewed. This paper mainly analyzes the advantages and disadvantages of various methods and techniques. With the development of new technology and equipment, the research and development in the field of power quality will have more broad prospects.
{"title":"The discussion on power quality technology","authors":"Zhiqiang Gao, Ke Zhang, Xuesong Zhou, Youjie Ma","doi":"10.1109/ICMA.2016.7558626","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558626","url":null,"abstract":"Power quality problems have received more and more concerns in recent years. It has become an important topic in monitoring, controlling, and managing of the power quality. In this paper, the causes of power quality problems, significance of improving the power quality, development status, analysis and control method are mainly analyzed and reviewed. This paper mainly analyzes the advantages and disadvantages of various methods and techniques. With the development of new technology and equipment, the research and development in the field of power quality will have more broad prospects.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130071251","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558732
Shuxiang Guo, Yuye Hu, Jian Guo, Weijie Zhang
This paper proposed a novel muscle force evaluation method to evaluate the patient's rehabilitation condition in the process of rehabilitation training. According to the related literature research, the complexity of the electromyography (EMG) signals were different under different muscle force. The physiological features and the state of muscle can be indirectly speculated by detecting the change of the dynamic complexity of EMG signals. The novel ideal of our research is to propose an EMG-based muscle force evaluation method using approximate entropy. The evaluation system consists of two main parts: the EMG acquisition (BIOFORCEN) and the measurement of muscle force (FingerTPS). Experiments were conducted with a healthy male. 15 groups EMG signals of biceps and triceps were acquired under different muscle force. Raw EMG data were recorded for off-line analysis. The approximate entropy (ApEn) and the power of EMG signals aiming at intercept relatively stable 10 section signal in each group were calculated to compose the training set. In addition, the additional 150 groups feature vectors were obtained to compose a sample set. 15 groups muscle force were divided into 6 levels and two classification method (linear discriminate analysis (LDA) and quadratic discriminate analysis (QDA)) were used to classify the feature vector. Experimental results have shown that the discrimination between ApEn and the power were obvious and 65% classification accuracy was got with the QDA method. The research of this paper can be a promising approach for further research in the field of rehabilitation evaluation.
{"title":"An EMG-based muscle force evaluation method using approximate entropy","authors":"Shuxiang Guo, Yuye Hu, Jian Guo, Weijie Zhang","doi":"10.1109/ICMA.2016.7558732","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558732","url":null,"abstract":"This paper proposed a novel muscle force evaluation method to evaluate the patient's rehabilitation condition in the process of rehabilitation training. According to the related literature research, the complexity of the electromyography (EMG) signals were different under different muscle force. The physiological features and the state of muscle can be indirectly speculated by detecting the change of the dynamic complexity of EMG signals. The novel ideal of our research is to propose an EMG-based muscle force evaluation method using approximate entropy. The evaluation system consists of two main parts: the EMG acquisition (BIOFORCEN) and the measurement of muscle force (FingerTPS). Experiments were conducted with a healthy male. 15 groups EMG signals of biceps and triceps were acquired under different muscle force. Raw EMG data were recorded for off-line analysis. The approximate entropy (ApEn) and the power of EMG signals aiming at intercept relatively stable 10 section signal in each group were calculated to compose the training set. In addition, the additional 150 groups feature vectors were obtained to compose a sample set. 15 groups muscle force were divided into 6 levels and two classification method (linear discriminate analysis (LDA) and quadratic discriminate analysis (QDA)) were used to classify the feature vector. Experimental results have shown that the discrimination between ApEn and the power were obvious and 65% classification accuracy was got with the QDA method. The research of this paper can be a promising approach for further research in the field of rehabilitation evaluation.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130261347","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558657
Yifei Cai, Qiuting Wang, Wei Qi
An accurate estimation method of State of Health (SOH) for lithium battery is presented in this paper. The battery model is improved based on equivalent circuit model and battery internal electrochemical characteristics. In our study, Double Unscented Kalman Filtering (D-UKF) algorithm is designed to calculate State of Charge (SOC) and SOH at the same time. The main feature is the battery SOH estimation model is derived based on battery internal resistances. Two filters defined as UKF1 and UKF2 are working together to calculate the real-value of SOC and Ohmic resistance to obtain the accurate SOH value. The experimental results indicate that our new battery model considers different value of battery internal resistances on different working condition. Besides, our study verifies the performance and feasibility of new estimation method based on D-UKF.
{"title":"D-UKF based state of health estimation for 18650 type lithium battery","authors":"Yifei Cai, Qiuting Wang, Wei Qi","doi":"10.1109/ICMA.2016.7558657","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558657","url":null,"abstract":"An accurate estimation method of State of Health (SOH) for lithium battery is presented in this paper. The battery model is improved based on equivalent circuit model and battery internal electrochemical characteristics. In our study, Double Unscented Kalman Filtering (D-UKF) algorithm is designed to calculate State of Charge (SOC) and SOH at the same time. The main feature is the battery SOH estimation model is derived based on battery internal resistances. Two filters defined as UKF1 and UKF2 are working together to calculate the real-value of SOC and Ohmic resistance to obtain the accurate SOH value. The experimental results indicate that our new battery model considers different value of battery internal resistances on different working condition. Besides, our study verifies the performance and feasibility of new estimation method based on D-UKF.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130266065","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558664
Fuchao Wang, Dapeng Tian, Yutang Wang
Stabilized control is one of the key technologies of the aerial photoelectric stabilization system. It is difficult for classical control method to further improve the inertial stabilization performance of the aerial photoelectric platform. Disturbance observer(DOB) is effective to estimate external disturbance and system uncertainties such as external friction torque, windage, inertia variation, to realize the compensation of such factors. However, in a practical application, as one of the key parts of the stabilized control system, the dynamic performance of measurement device directly impacts on the dynamic characteristic and reliability of the DOB. In this paper, firstly we analyse the impact on its dynamic performance if measurement sensors exist phase lag. Next, accoding to the analyzed results, putting forward a high accuracy inertial stabilization method combining Kalman filter and disturbance observer, and the algorithm can effectively improve the dynamic performance of control system.
{"title":"High accuracy inertial stabilization via Kalman filter based disturbance observer","authors":"Fuchao Wang, Dapeng Tian, Yutang Wang","doi":"10.1109/ICMA.2016.7558664","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558664","url":null,"abstract":"Stabilized control is one of the key technologies of the aerial photoelectric stabilization system. It is difficult for classical control method to further improve the inertial stabilization performance of the aerial photoelectric platform. Disturbance observer(DOB) is effective to estimate external disturbance and system uncertainties such as external friction torque, windage, inertia variation, to realize the compensation of such factors. However, in a practical application, as one of the key parts of the stabilized control system, the dynamic performance of measurement device directly impacts on the dynamic characteristic and reliability of the DOB. In this paper, firstly we analyse the impact on its dynamic performance if measurement sensors exist phase lag. Next, accoding to the analyzed results, putting forward a high accuracy inertial stabilization method combining Kalman filter and disturbance observer, and the algorithm can effectively improve the dynamic performance of control system.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252199","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558675
C. Chiang, Yu-Ting Hou
In this paper, a CMOS monolithic calibrated position-sensitive detector (PSD) for detecting light-spot position applications is newly proposed. A calibration technique is proposed in this work. With the calibration circuits, the proposed chip successfully detects the position of a small light in a real environment. Before performing the proposed calibration circuits, the maximum linear error is 54.55%. After calibration, the maximum linear error can be reduced to 3%. The light dynamic range of a light spot is 40 dB. The chip area is 2.87 × 2.72 mm2. The proposed chip is suitable for devices of measuring light-spot position.
{"title":"A CMOS monolithic calibrated position-sensitive detector (PSD) for detecting light-spot position applications","authors":"C. Chiang, Yu-Ting Hou","doi":"10.1109/ICMA.2016.7558675","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558675","url":null,"abstract":"In this paper, a CMOS monolithic calibrated position-sensitive detector (PSD) for detecting light-spot position applications is newly proposed. A calibration technique is proposed in this work. With the calibration circuits, the proposed chip successfully detects the position of a small light in a real environment. Before performing the proposed calibration circuits, the maximum linear error is 54.55%. After calibration, the maximum linear error can be reduced to 3%. The light dynamic range of a light spot is 40 dB. The chip area is 2.87 × 2.72 mm2. The proposed chip is suitable for devices of measuring light-spot position.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134091917","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558954
Yufeng Li, Song Xiang, Sen Wang, Jin Huang, Yangyang Zhao, J. Guo
UAV main propulsion motor is required the small mass and Colliers energy density (torque density and power density), so it needs more optimal motor to achieve the purpose. The constraint condition of the main propulsion motor is a complex nonlinear continuous function, and the general Particle Swarm Optimization (PSO) algorithm is used to solve the problem when the multiple objectives are converted into different weights, and then converted to a single target for processing. And the weight of different targets is given based on experience, but the weight of the new motor is often difficult to determine the weight. In this paper, a new particle swarm optimization algorithm is proposed, which can optimize the two sub populations, and then exchange the optimal solutions of the two subgroups. Experiments show that this algorithm is applicable to main propulsion motor quality and efficiency of optimization, and the optimization results and general algorithm are compared. It is proved that the algorithm has high accuracy and fast convergence speed and is suitable for solving the similar problems.
{"title":"Research on optimization design of UAV main propulsion motor based on Particle Swarm Optimization algorithm","authors":"Yufeng Li, Song Xiang, Sen Wang, Jin Huang, Yangyang Zhao, J. Guo","doi":"10.1109/ICMA.2016.7558954","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558954","url":null,"abstract":"UAV main propulsion motor is required the small mass and Colliers energy density (torque density and power density), so it needs more optimal motor to achieve the purpose. The constraint condition of the main propulsion motor is a complex nonlinear continuous function, and the general Particle Swarm Optimization (PSO) algorithm is used to solve the problem when the multiple objectives are converted into different weights, and then converted to a single target for processing. And the weight of different targets is given based on experience, but the weight of the new motor is often difficult to determine the weight. In this paper, a new particle swarm optimization algorithm is proposed, which can optimize the two sub populations, and then exchange the optimal solutions of the two subgroups. Experiments show that this algorithm is applicable to main propulsion motor quality and efficiency of optimization, and the optimization results and general algorithm are compared. It is proved that the algorithm has high accuracy and fast convergence speed and is suitable for solving the similar problems.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134376088","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558846
Chuang Wang, P. Jiang, T. Lu
Nowadays, there has a challenge for manufacturing management and organization. The job shop can obtain large amounts of real-time production data in manufacturing procedure, there is a problem of the lack of extraction and processing a large amount of valuable information that the data contains. Moreover, in the process of job shop production operation, it is not conducive to the coordination and connection of production scheduling and production control system because of the lack of feedback of production status change information after executing production instructions. Whether a job shop could benign operation, the key is to make the “Plan” and “Production” closely. For solving this problem, a production instruction system for smart job shop is proposed. The production instruction system is mainly to complete four functions as: (1) creating production instructions, (2) issuing production instructions, (3) monitoring the production process, (4) and prompting production management. The production instruction system is a closed-loop production control system. What's more, several enabling technologies are described in detail, namely, the basic event extraction in manufacturing activities and the composite event extraction for triggering production instructions, event processing, XML-based production instruction, and the production instruction executor. The flexible automated production line is taken as an example to illustrate the implementation of the production instruction system.
{"title":"The production instruction system for smart job shop","authors":"Chuang Wang, P. Jiang, T. Lu","doi":"10.1109/ICMA.2016.7558846","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558846","url":null,"abstract":"Nowadays, there has a challenge for manufacturing management and organization. The job shop can obtain large amounts of real-time production data in manufacturing procedure, there is a problem of the lack of extraction and processing a large amount of valuable information that the data contains. Moreover, in the process of job shop production operation, it is not conducive to the coordination and connection of production scheduling and production control system because of the lack of feedback of production status change information after executing production instructions. Whether a job shop could benign operation, the key is to make the “Plan” and “Production” closely. For solving this problem, a production instruction system for smart job shop is proposed. The production instruction system is mainly to complete four functions as: (1) creating production instructions, (2) issuing production instructions, (3) monitoring the production process, (4) and prompting production management. The production instruction system is a closed-loop production control system. What's more, several enabling technologies are described in detail, namely, the basic event extraction in manufacturing activities and the composite event extraction for triggering production instructions, event processing, XML-based production instruction, and the production instruction executor. The flexible automated production line is taken as an example to illustrate the implementation of the production instruction system.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131720731","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 : 2016-08-01DOI: 10.1109/ICMA.2016.7558525
Tengteng Wang, J. Fei
This paper proposes an adaptive radial basis function (RBF) neural network (NN) fuzzy control scheme to enhance performance of shunt active power filter (APF). The RBF NN is utilized on the approximation of nonlinear function in APF dynamic model, the weights of the RBF NN are adjusted online according to adaptive law from the Lyapunov stability analysis, to ensure the state hitting the sliding surface and sliding along it. In order to compensate the network approximation error and eliminate the existing chattering, the sliding mode control term is adjusted by adaptive fuzzy systems, which can enhance the robust performance of the system. The simulation results of APF using the proposed method confirm the effectiveness of the proposed controller, demonstrating the outstanding compensation performance and strong robustness.
{"title":"Adaptive RBFNN fuzzy sliding mode control for active power filter","authors":"Tengteng Wang, J. Fei","doi":"10.1109/ICMA.2016.7558525","DOIUrl":"https://doi.org/10.1109/ICMA.2016.7558525","url":null,"abstract":"This paper proposes an adaptive radial basis function (RBF) neural network (NN) fuzzy control scheme to enhance performance of shunt active power filter (APF). The RBF NN is utilized on the approximation of nonlinear function in APF dynamic model, the weights of the RBF NN are adjusted online according to adaptive law from the Lyapunov stability analysis, to ensure the state hitting the sliding surface and sliding along it. In order to compensate the network approximation error and eliminate the existing chattering, the sliding mode control term is adjusted by adaptive fuzzy systems, which can enhance the robust performance of the system. The simulation results of APF using the proposed method confirm the effectiveness of the proposed controller, demonstrating the outstanding compensation performance and strong robustness.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131832553","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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