Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388143
Chao Wang, X. Zong, Xingong Cheng
In this paper, the PID control analysis for active power filter (APF) is presented. Based on the analysis, it is clearly shown that a large overshoot and long setting time of DC bus voltage will occur when conventional PI controller is used in APF. To solve this problem, a novel control strategy is introduced to improve the performance of the controlled system. The stability of the closed-loop system will also be proved by using a Lyapunov function approach. At last, simulation results are given to verify the correctness of the PID analysis and illustrate the advantages of the control strategy for improving the compensation precision.
{"title":"Control DC bus voltage of active power filter with a novel PID control","authors":"Chao Wang, X. Zong, Xingong Cheng","doi":"10.1109/ICICIP.2015.7388143","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388143","url":null,"abstract":"In this paper, the PID control analysis for active power filter (APF) is presented. Based on the analysis, it is clearly shown that a large overshoot and long setting time of DC bus voltage will occur when conventional PI controller is used in APF. To solve this problem, a novel control strategy is introduced to improve the performance of the controlled system. The stability of the closed-loop system will also be proved by using a Lyapunov function approach. At last, simulation results are given to verify the correctness of the PID analysis and illustrate the advantages of the control strategy for improving the compensation precision.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130048644","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279622
A. Hajiloo, W. Xie, X. Ren
The problem of multi-objective model predictive controller design is solved in this paper. The linear parameter-varying parameter system is considered. The proposed method is based on the solving multi-objective optimization problem using linear matrix inequality approach at each sampling time. The trade-off point among the optimization results is obtained by Nash bargaining solution at each sampling time. The simulation results reveal the effectiveness of the proposed method.
{"title":"Multi-objective robust model predictive control using Game Theory","authors":"A. Hajiloo, W. Xie, X. Ren","doi":"10.1109/ICINFA.2015.7279622","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279622","url":null,"abstract":"The problem of multi-objective model predictive controller design is solved in this paper. The linear parameter-varying parameter system is considered. The proposed method is based on the solving multi-objective optimization problem using linear matrix inequality approach at each sampling time. The trade-off point among the optimization results is obtained by Nash bargaining solution at each sampling time. The simulation results reveal the effectiveness of the proposed method.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114995692","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279571
Qian Chen, Xiongjun Wu, Junhao Liu
In this paper, a novel randomized step frequency radar that combined the adaptive waveform design and the off-grid point effect simultaneously in the scheme of weighted Particle Swarm Optimization(PSO) is proposed, and the range and velocity joint estimating are recovered by exploiting sparseness of the targets and by invoking compressed sensing (CS) theory. In this new mechanism, each of the dictionary matrix element was first extended by adopting Taylor expansion to an arbitrary precise off-grid point, instead of only the points in a discrete form. Then by adding the new generated information into the dictionary matrix adaptively, an updated time-varying new dictionary matrix is yielded. Finally, in order to overcome the local minima in the traditional CS theory, a weighted PSO dynamic optimal method is adopted, where the convergence speed is increased due to the weighted factor introduced in the PSO. It is not necessary to know exactly the target parameters when using our approach, instead, coarse coding bounds of target parameters are enough for the algorithm, which can be done once and for all off-line, and it is only necessary to specify the initial scopes of the velocity and the range of the target. The proposed weighted PSO based waveform design approach has the potential to achieve much higher estimation accuracy, a faster convergence speed and robustness against unpredictable perturbations for range, a high precision in randomized step frequency radar.
{"title":"Adaptive compressed sensing based randomized step frequency radar with a weighted PSO","authors":"Qian Chen, Xiongjun Wu, Junhao Liu","doi":"10.1109/ICINFA.2015.7279571","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279571","url":null,"abstract":"In this paper, a novel randomized step frequency radar that combined the adaptive waveform design and the off-grid point effect simultaneously in the scheme of weighted Particle Swarm Optimization(PSO) is proposed, and the range and velocity joint estimating are recovered by exploiting sparseness of the targets and by invoking compressed sensing (CS) theory. In this new mechanism, each of the dictionary matrix element was first extended by adopting Taylor expansion to an arbitrary precise off-grid point, instead of only the points in a discrete form. Then by adding the new generated information into the dictionary matrix adaptively, an updated time-varying new dictionary matrix is yielded. Finally, in order to overcome the local minima in the traditional CS theory, a weighted PSO dynamic optimal method is adopted, where the convergence speed is increased due to the weighted factor introduced in the PSO. It is not necessary to know exactly the target parameters when using our approach, instead, coarse coding bounds of target parameters are enough for the algorithm, which can be done once and for all off-line, and it is only necessary to specify the initial scopes of the velocity and the range of the target. The proposed weighted PSO based waveform design approach has the potential to achieve much higher estimation accuracy, a faster convergence speed and robustness against unpredictable perturbations for range, a high precision in randomized step frequency radar.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115637495","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}
In the field of robots' obstacle avoidance and navigation, indirect contact sensors such as visual, ultrasonic and infrared detection are widely used. However, the performance of these sensors is always influenced by the severe environment, especially under the dark, dense fog, underwater conditions. The obstacle avoidance robot based on tactile sensor is proposed in this paper to realize the autonomous obstacle avoidance navigation by only using three dimensions force sensor. In addition, the mathematical model and algorithm are optimized to make up the deficiency of tactile sensor. Finally, the feasibility and reliability of this study are verified by the simulation results.
{"title":"Study of obstacle avoidance navigation robot control based on bland man tracing wall theory","authors":"Yuan Yuan, Juping Gu, Feng Chen, Yiming Xu, Hui Yang, Yangyang Miao","doi":"10.1109/ICINFA.2015.7279320","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279320","url":null,"abstract":"In the field of robots' obstacle avoidance and navigation, indirect contact sensors such as visual, ultrasonic and infrared detection are widely used. However, the performance of these sensors is always influenced by the severe environment, especially under the dark, dense fog, underwater conditions. The obstacle avoidance robot based on tactile sensor is proposed in this paper to realize the autonomous obstacle avoidance navigation by only using three dimensions force sensor. In addition, the mathematical model and algorithm are optimized to make up the deficiency of tactile sensor. Finally, the feasibility and reliability of this study are verified by the simulation results.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650007","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279516
Yunong Zhang, H. Qiu, Chen Peng, Yanyan Shi, Hongzhou Tan
A special class of continuous-time neural dynamics termed Zhang dynamics (ZD) has been investigated and generalized for solving the systems of time-varying nonlinear equations (STVNE). For possible digital hardware realization, the discrete-time ZD (DTZD) models are presented and investigated in this paper for solving the STVNE in the form of f(x(t), t) = 0 ∈ ℝn. For comparative purposes, the Newton iteration is also presented to solve the STVNE. Theoretical analysis, as simply and effectively proved, shows that the steady-state residual errors of the presented DTZD models are of O(τ2), which is further verified by the follow-up numerical experiments.
{"title":"Simply and effectively proved square characteristics of discrete-time zd solving systems of time-varying nonlinear equations","authors":"Yunong Zhang, H. Qiu, Chen Peng, Yanyan Shi, Hongzhou Tan","doi":"10.1109/ICINFA.2015.7279516","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279516","url":null,"abstract":"A special class of continuous-time neural dynamics termed Zhang dynamics (ZD) has been investigated and generalized for solving the systems of time-varying nonlinear equations (STVNE). For possible digital hardware realization, the discrete-time ZD (DTZD) models are presented and investigated in this paper for solving the STVNE in the form of f(x(t), t) = 0 ∈ ℝn. For comparative purposes, the Newton iteration is also presented to solve the STVNE. Theoretical analysis, as simply and effectively proved, shows that the steady-state residual errors of the presented DTZD models are of O(τ2), which is further verified by the follow-up numerical experiments.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123172224","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279299
Yi Zhao, Haobin Shi, Xuanwen Chen, Xuesi Li, Cong Wang
Over the last couple of years, object detection and tracking reserachers have been developing many new techniques, which has been used widely by others. In this article, we present an extensive overview of object detection and tracking methods. At the same time, we also introduces some related theoretical knowledge (e.g., feature and classification). The reason why the object detection and tracking in summarized together, is because the object detection can be said to be the foundation of the object tracking, and they all need to choose the right features and training effective classification. Due to the application fields and emphasis may be different, the number of features which we can select is large. This paper mainly introduces some common features, such as color, histogram of gradients edges and optical flow. Then classifications are introduced, which are all classical classifications. There are many methods of detection and tracking, but now researchers will mainly consider some of the key factors, which include context, silhouette and background. Finally, we respectively introduced some common methods for object detection and object tracking. And discuss the advantages and disadvantages of principles.
{"title":"An overview of object detection and tracking","authors":"Yi Zhao, Haobin Shi, Xuanwen Chen, Xuesi Li, Cong Wang","doi":"10.1109/ICINFA.2015.7279299","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279299","url":null,"abstract":"Over the last couple of years, object detection and tracking reserachers have been developing many new techniques, which has been used widely by others. In this article, we present an extensive overview of object detection and tracking methods. At the same time, we also introduces some related theoretical knowledge (e.g., feature and classification). The reason why the object detection and tracking in summarized together, is because the object detection can be said to be the foundation of the object tracking, and they all need to choose the right features and training effective classification. Due to the application fields and emphasis may be different, the number of features which we can select is large. This paper mainly introduces some common features, such as color, histogram of gradients edges and optical flow. Then classifications are introduced, which are all classical classifications. There are many methods of detection and tracking, but now researchers will mainly consider some of the key factors, which include context, silhouette and background. Finally, we respectively introduced some common methods for object detection and object tracking. And discuss the advantages and disadvantages of principles.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117269969","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279809
Lixia Fu, Zhongshi Zhang, Qingping Kong, J. Mao
Due to the problems in the Network Control Systems, such as data packet loss, communication delay, network interference, signal jamming. It's hard to achieve a good result when using the conventional control algorithm. In this paper, aiming at the existing problems of Network Control Systems, a new kind of controller is designed which combined with Smith estimated compensator with the buffer and the adaptive fuzzy PID controller. We use TrueTime toolbox to test this controller, the results show that the designed controller used in this paper can increase the adaptability of the system and obtain a better control effect.
{"title":"The design of adaptive fuzzy PID controller with Smith compensator for Network Control Systems","authors":"Lixia Fu, Zhongshi Zhang, Qingping Kong, J. Mao","doi":"10.1109/ICINFA.2015.7279809","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279809","url":null,"abstract":"Due to the problems in the Network Control Systems, such as data packet loss, communication delay, network interference, signal jamming. It's hard to achieve a good result when using the conventional control algorithm. In this paper, aiming at the existing problems of Network Control Systems, a new kind of controller is designed which combined with Smith estimated compensator with the buffer and the adaptive fuzzy PID controller. We use TrueTime toolbox to test this controller, the results show that the designed controller used in this paper can increase the adaptability of the system and obtain a better control effect.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117278558","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279282
Peng Wu, Shaorong Xie, Hengli Liu, Jun Luo, Qingmei Li, J. Gu
The obstacle avoidance is the key technology of nonholonomic mobile robot, where obstacle avoidance algorithm is the core. Artificial potential field (APF) algorithm has the advantage of sample mathematical model, which is understood and applied into practice easily. However, there are some problems in APF algorithm, for examples, local minimum and GNRON problem, which limits the effect of APF algorithm. In order to solve these problems, we propose a modified APF algorithm in this paper. This modified algorithm utilizes the improved potential field formulas for GNRON problem. Otherwise, this algorithm uses a method of boundary detection and setting a secondary target for optimal path and local minimum. Finally, we use MRPT virtual simulation platform to verify the modified algorithm. The simulation result and field test show that the modified is feasible.
{"title":"A novel obstacle avoidance strategy of nonholonomic mobile robot based on virtual simulation platform","authors":"Peng Wu, Shaorong Xie, Hengli Liu, Jun Luo, Qingmei Li, J. Gu","doi":"10.1109/ICINFA.2015.7279282","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279282","url":null,"abstract":"The obstacle avoidance is the key technology of nonholonomic mobile robot, where obstacle avoidance algorithm is the core. Artificial potential field (APF) algorithm has the advantage of sample mathematical model, which is understood and applied into practice easily. However, there are some problems in APF algorithm, for examples, local minimum and GNRON problem, which limits the effect of APF algorithm. In order to solve these problems, we propose a modified APF algorithm in this paper. This modified algorithm utilizes the improved potential field formulas for GNRON problem. Otherwise, this algorithm uses a method of boundary detection and setting a secondary target for optimal path and local minimum. Finally, we use MRPT virtual simulation platform to verify the modified algorithm. The simulation result and field test show that the modified is feasible.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124821290","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279737
Zhi Yang, Hao Chen, Jun Du, Liang Hua
Given the pose adjustment and path planning of the welding mobile robot during seam tracking process, mobile welding robot and welding torch are studied. Kinematics modeling of the mobile welding robot is established, which is constrained with the slider moving area, welding torch length and so on. And then, physical System is designed and multi-objective optimization model is presented with the aims of improving the accuracy and velocity of seam tracking. According to the characteristics of seam tracking, a genetic algorithm is designed, including coding structure definition, the initial population generation and establishing the fitness function. The simulation is studied on MATLAB and the results demonstrate the effectiveness in the velocity and accuracy.
{"title":"Wheeled welding robot design and seam tracking simulation based on optimization models","authors":"Zhi Yang, Hao Chen, Jun Du, Liang Hua","doi":"10.1109/ICINFA.2015.7279737","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279737","url":null,"abstract":"Given the pose adjustment and path planning of the welding mobile robot during seam tracking process, mobile welding robot and welding torch are studied. Kinematics modeling of the mobile welding robot is established, which is constrained with the slider moving area, welding torch length and so on. And then, physical System is designed and multi-objective optimization model is presented with the aims of improving the accuracy and velocity of seam tracking. According to the characteristics of seam tracking, a genetic algorithm is designed, including coding structure definition, the initial population generation and establishing the fitness function. The simulation is studied on MATLAB and the results demonstrate the effectiveness in the velocity and accuracy.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126095180","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 : 2015-10-01DOI: 10.1109/ICINFA.2015.7279757
Jianxin Zhang, X. Lei
Now, for Zigbee having many advantages, it can be used in more and more Machine to Machine or Man (M2M) technologies. Zigbee system has two mainly interference. One is inter symbol interference (ISI) that comes from other symbols of the same signal. Another is Co-channel interference (CCI) that comes from other techniques. Communication system mainly performance indexes are validity and reliability. In order to improve Zigbee system reliability, it is important to improve ability of anti-CCI and eliminate ISI with little or no validity reduced. In digital communication system, bit error rate (BER) is used to measure reliability, and data rate, spectrum availability radio are used to measure validity. The paper analyses Zigbee BER compositions under the influence of CCI and ISI. Results show that BER is related to the function of shaper (shaper, shaping filter). Later we propose that in order to reduce BER, using Raised Cosine Shaping Filter (RC) replaced Half Sine Wave Shaping filter (HSW). The reasons are RC having better characteristics in anti-CCI and eliminate ISI, and it will not change Zigbee advantages. The system simulation results prove it.
{"title":"Anti-interference performance optimization of Zigbee system from shaping filter","authors":"Jianxin Zhang, X. Lei","doi":"10.1109/ICINFA.2015.7279757","DOIUrl":"https://doi.org/10.1109/ICINFA.2015.7279757","url":null,"abstract":"Now, for Zigbee having many advantages, it can be used in more and more Machine to Machine or Man (M2M) technologies. Zigbee system has two mainly interference. One is inter symbol interference (ISI) that comes from other symbols of the same signal. Another is Co-channel interference (CCI) that comes from other techniques. Communication system mainly performance indexes are validity and reliability. In order to improve Zigbee system reliability, it is important to improve ability of anti-CCI and eliminate ISI with little or no validity reduced. In digital communication system, bit error rate (BER) is used to measure reliability, and data rate, spectrum availability radio are used to measure validity. The paper analyses Zigbee BER compositions under the influence of CCI and ISI. Results show that BER is related to the function of shaper (shaper, shaping filter). Later we propose that in order to reduce BER, using Raised Cosine Shaping Filter (RC) replaced Half Sine Wave Shaping filter (HSW). The reasons are RC having better characteristics in anti-CCI and eliminate ISI, and it will not change Zigbee advantages. The system simulation results prove it.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123767923","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：