Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7161670
Yinlong Hu, Kai Wang, Michael Z. Q. Chen
This paper investigates the application of inerters in semi-active suspensions. An approach to designing semi-active suspension with inerter is proposed by dividing the semi-active system into a passive part and a semi-active part. The passive part is a mechanical network consisting of springs, dampers and inerters; the semi-active part is a semi-active damper. Different from the existing result using some fixed-structure networks as the passive part, in this study, the passive part is obtained by optimizing some low-order admittance functions and then by realizing the optimized admittance functions as mechanical networks. A suboptimal control law named steepest gradient control is employed for the semi-active damper in the semi-active part. The proposed method is illustrated in a quarter-car vehicle system, and the effectiveness of the proposed method is demonstrated by using numerical simulations. It is shown that significant improvement can be obtained by using the proposed method compared with the conventional semi-active suspensions without inerter.
{"title":"Semi-active suspensions with low-order mechanical admittances incorporating inerters","authors":"Yinlong Hu, Kai Wang, Michael Z. Q. Chen","doi":"10.1109/CCDC.2015.7161670","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7161670","url":null,"abstract":"This paper investigates the application of inerters in semi-active suspensions. An approach to designing semi-active suspension with inerter is proposed by dividing the semi-active system into a passive part and a semi-active part. The passive part is a mechanical network consisting of springs, dampers and inerters; the semi-active part is a semi-active damper. Different from the existing result using some fixed-structure networks as the passive part, in this study, the passive part is obtained by optimizing some low-order admittance functions and then by realizing the optimized admittance functions as mechanical networks. A suboptimal control law named steepest gradient control is employed for the semi-active damper in the semi-active part. The proposed method is illustrated in a quarter-car vehicle system, and the effectiveness of the proposed method is demonstrated by using numerical simulations. It is shown that significant improvement can be obtained by using the proposed method compared with the conventional semi-active suspensions without inerter.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123055967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A new weighted least squares twin support vector machine for binary classification with noise is proposed in this paper. By using the distances from the sample points to their class center, fuzzy weights are constructed. The fuzzy weighted least squares twin support vector machine is presented by following the fuzzy weighted mechanism, thus reducing the influence of the noise. The simulation results on three UCI data and two-moons data demonstrate the effectiveness of the proposed method.
{"title":"Binary classification with noise via fuzzy weighted least squares twin support vector machine","authors":"Juntao Li, Yimin Cao, Yadi Wang, Xiaoxia Mu, Liuyuan Chen, Huimin Xiao","doi":"10.1109/CCDC.2015.7162214","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162214","url":null,"abstract":"A new weighted least squares twin support vector machine for binary classification with noise is proposed in this paper. By using the distances from the sample points to their class center, fuzzy weights are constructed. The fuzzy weighted least squares twin support vector machine is presented by following the fuzzy weighted mechanism, thus reducing the influence of the noise. The simulation results on three UCI data and two-moons data demonstrate the effectiveness of the proposed method.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123111976","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162724
Yu Liang, Xiao-hua Xie, Yunfeng Hu, Hong Chen
As we know the automotive idle speed control (ISC) is a highly nonlinear vehicle control problem with complicated dynamic characters. In this paper, the control variables are throttle angle and spark advance angle, data-driven predictive control is selected to design the controller which elegantly combines identification method of subspace with model predictive control(MPC). In automobile, there are actuator constraints on throttle and spark ignition and the optimal object is to make the predictive engine speed tacking with the reference. The predictive model can be obtained by subspace identification by using intput-output data, by using MPC, control problem comes down to optimization problem with input and state constraints. The proposed control method in engine is well validated on a platform of enDYNA. Finally, there are effective and promising results which indicate that the selected method is feasible.
{"title":"Data-driven predictive control of idle speed control for SI engine","authors":"Yu Liang, Xiao-hua Xie, Yunfeng Hu, Hong Chen","doi":"10.1109/CCDC.2015.7162724","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162724","url":null,"abstract":"As we know the automotive idle speed control (ISC) is a highly nonlinear vehicle control problem with complicated dynamic characters. In this paper, the control variables are throttle angle and spark advance angle, data-driven predictive control is selected to design the controller which elegantly combines identification method of subspace with model predictive control(MPC). In automobile, there are actuator constraints on throttle and spark ignition and the optimal object is to make the predictive engine speed tacking with the reference. The predictive model can be obtained by subspace identification by using intput-output data, by using MPC, control problem comes down to optimization problem with input and state constraints. The proposed control method in engine is well validated on a platform of enDYNA. Finally, there are effective and promising results which indicate that the selected method is feasible.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"326 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115763625","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162828
Zhao Huang, Jiangzhou Cheng
Actual characteristics of single phase PV cell are simply introduced. The traditional perturbation & observation method, incremental conductance algorithm and an improved self-optimization control strategy of dynamically adjusting tracking paces are analyzed considering different work conditions and the applications are discussed in detail. Simulation results firstly show that the automatic optimization process can be realized with all of the proposed methods the feasibility of which are testified; besides, the superiority of the improved solution scheme is effectively verified through comparison of the measured results and with the developed regulation system on the basis of fuzzy logic technology, excellent electrical power quality can be sent out with smooth amplitude, rapid response and low fluctuation content.
{"title":"Research on self-optimization control methods for single phase PV system","authors":"Zhao Huang, Jiangzhou Cheng","doi":"10.1109/CCDC.2015.7162828","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162828","url":null,"abstract":"Actual characteristics of single phase PV cell are simply introduced. The traditional perturbation & observation method, incremental conductance algorithm and an improved self-optimization control strategy of dynamically adjusting tracking paces are analyzed considering different work conditions and the applications are discussed in detail. Simulation results firstly show that the automatic optimization process can be realized with all of the proposed methods the feasibility of which are testified; besides, the superiority of the improved solution scheme is effectively verified through comparison of the measured results and with the developed regulation system on the basis of fuzzy logic technology, excellent electrical power quality can be sent out with smooth amplitude, rapid response and low fluctuation content.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116595709","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162638
Chen Zhen, Chi Shukai, Li Ming, W. Jianguo
As a new kind of green renewable energy, tidal energy has been received more and more attention. Pitch control is an important function for tidal turbines. So variable pitch control system was designed in this paper in order to adapt to the bi-directional tidal current and protect the turbines. The system adopted 32 bit processor STM32F207 with incremental PI control algorithm as main controller, and realized precise control of the pitch angle. Besides, the system realized the function of feathering control by one click control remotely, which has greatly ensured the reliability of the pitch control. The field test result of the design has provided chances to realize the maximum power point tracking (MPPT) under the rated current speed and system operation control. And it has provided valuable data and experience for better development and utilization of the tidal energy.
{"title":"Design and implementation of the pitch control system for horizontal axis tidal turbines","authors":"Chen Zhen, Chi Shukai, Li Ming, W. Jianguo","doi":"10.1109/CCDC.2015.7162638","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162638","url":null,"abstract":"As a new kind of green renewable energy, tidal energy has been received more and more attention. Pitch control is an important function for tidal turbines. So variable pitch control system was designed in this paper in order to adapt to the bi-directional tidal current and protect the turbines. The system adopted 32 bit processor STM32F207 with incremental PI control algorithm as main controller, and realized precise control of the pitch angle. Besides, the system realized the function of feathering control by one click control remotely, which has greatly ensured the reliability of the pitch control. The field test result of the design has provided chances to realize the maximum power point tracking (MPPT) under the rated current speed and system operation control. And it has provided valuable data and experience for better development and utilization of the tidal energy.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116654315","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162482
Fei Liu, Shan Liang, Xiaodong Xian
This paper proposes a Distributed Computing and Centralized Determination (DCCD) method to solve the multi-robot task allocation problem, in order to maximize the utility of the whole robot system. First, a utility model is presented which takes the cost for executing tasks and the quality of task completing time into consideration. DCCD employs each robot to compute and provide sub-plans for executing one or multiple tasks. Then, the task manager forms allocations for accomplishing tasks using all the sub-plans and determine the optimal one according to the utility model. Compared with fully-centralized allocation, this method can reduce the computation largely for task manager. Theoretical analysis and simulation verify the effectiveness of DCCD, and shows that DCCD can obtain global optimal allocation comparing with the fact that the widely-used single-item and combinational auction methods can only obtain local optimal solution.
{"title":"Multi-robot task allocation based on utility and distributed computing and centralized determination","authors":"Fei Liu, Shan Liang, Xiaodong Xian","doi":"10.1109/CCDC.2015.7162482","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162482","url":null,"abstract":"This paper proposes a Distributed Computing and Centralized Determination (DCCD) method to solve the multi-robot task allocation problem, in order to maximize the utility of the whole robot system. First, a utility model is presented which takes the cost for executing tasks and the quality of task completing time into consideration. DCCD employs each robot to compute and provide sub-plans for executing one or multiple tasks. Then, the task manager forms allocations for accomplishing tasks using all the sub-plans and determine the optimal one according to the utility model. Compared with fully-centralized allocation, this method can reduce the computation largely for task manager. Theoretical analysis and simulation verify the effectiveness of DCCD, and shows that DCCD can obtain global optimal allocation comparing with the fact that the widely-used single-item and combinational auction methods can only obtain local optimal solution.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116993197","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7161825
Y. Pei, Hong‐Jun Ma, Guanghong Yang
This paper is concerned with the decentralized and distributed estimation and control problem for a formation of agents with strongly couplings. The collected agents of the formation are modeled by a class of uncertain nonlinear systems communicating information between each other through unidirectional links with a fixed communication topology. Carrying an estimate of the entire formation state in each agent, the proposed hybrid control strategy relies on the possibility of making discrete on-line adjustments of parameter in the updating law of gain by a monitor signal. By a Lyapunov-based analysis of closed-loop equilibrium dynamics, a constructive design procedure results in the consensus of the estimation error dynamics and the stability of all signals in the closed-loop systems simultaneously.
{"title":"Cooperative control for coupled multi-agent systems with parallel estimators and adaptive controllers","authors":"Y. Pei, Hong‐Jun Ma, Guanghong Yang","doi":"10.1109/CCDC.2015.7161825","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7161825","url":null,"abstract":"This paper is concerned with the decentralized and distributed estimation and control problem for a formation of agents with strongly couplings. The collected agents of the formation are modeled by a class of uncertain nonlinear systems communicating information between each other through unidirectional links with a fixed communication topology. Carrying an estimate of the entire formation state in each agent, the proposed hybrid control strategy relies on the possibility of making discrete on-line adjustments of parameter in the updating law of gain by a monitor signal. By a Lyapunov-based analysis of closed-loop equilibrium dynamics, a constructive design procedure results in the consensus of the estimation error dynamics and the stability of all signals in the closed-loop systems simultaneously.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117155545","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7161816
Xiaokun Yang, Baoqi Huang
In recent years, mobile device (e.g., smartphone, tablet and etc.) equipped with various inertial sensors is increasingly popular in daily life, and a large number of mobile applications have been developed based on such built-in inertial sensors. In particular, detecting and counting steps is a prerequisite for many applications, such as smart healthcare, smart home, tracking and location, and etc., and thus has attained much attention. Peak detection is known to be one of the simplest and most efficient solutions in this field, but suffers from the drift in the orientation and position of the device if it is not tightly fixed on the human's body. In this paper, we present a novel method to accurately detect and count steps of a human who carries on a smartphone in an unconstrained manner. To be specific, the proposed method fuses the signals from the accelerometer, magnetometer and gyroscope of the smartphone to transform the device reference frame to the earth reference frame, and then employs the vertical acceleration to implement the peak detection algorithm. Extensive simulations are carried out and confirm that the proposed method is more robust than the existing algorithms.
{"title":"An accurate step detection algorithm using unconstrained smartphones","authors":"Xiaokun Yang, Baoqi Huang","doi":"10.1109/CCDC.2015.7161816","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7161816","url":null,"abstract":"In recent years, mobile device (e.g., smartphone, tablet and etc.) equipped with various inertial sensors is increasingly popular in daily life, and a large number of mobile applications have been developed based on such built-in inertial sensors. In particular, detecting and counting steps is a prerequisite for many applications, such as smart healthcare, smart home, tracking and location, and etc., and thus has attained much attention. Peak detection is known to be one of the simplest and most efficient solutions in this field, but suffers from the drift in the orientation and position of the device if it is not tightly fixed on the human's body. In this paper, we present a novel method to accurately detect and count steps of a human who carries on a smartphone in an unconstrained manner. To be specific, the proposed method fuses the signals from the accelerometer, magnetometer and gyroscope of the smartphone to transform the device reference frame to the earth reference frame, and then employs the vertical acceleration to implement the peak detection algorithm. Extensive simulations are carried out and confirm that the proposed method is more robust than the existing algorithms.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120857800","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162326
Zeqi Zhao, Jun Yang, Weining Lu, Xueqian Wang
Fault diagnosis, which is a task to identify the nature of the occurred fault, is of paramount importance to ensure the steadiness of industrial and domestic machinery. Essentially, fault diagnosis is a problem of classification. A method based on Local Outlier Factor (LOF) anomaly detection and BP neural network is proposed to apply to steel plates fault diagnosis. The LOF method is firstly used to find the anomaly samples and process the relevant samples detected. Then the processed samples are used to train a back-propagation neural network (BPNN) to classify steel plate faults. It is to be noted that the LOF method's effect of outlier elimination nicely overcomes the specific defect of the BP neural network model in which the training process is very sensitive to singularities in the training samples. Results of contrastive experiments indicate that the proposed method can reliably improve the classification accuracy and decrease the training time.
{"title":"Application of local outlier factor method and back-propagation neural network for steel plates fault diagnosis","authors":"Zeqi Zhao, Jun Yang, Weining Lu, Xueqian Wang","doi":"10.1109/CCDC.2015.7162326","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162326","url":null,"abstract":"Fault diagnosis, which is a task to identify the nature of the occurred fault, is of paramount importance to ensure the steadiness of industrial and domestic machinery. Essentially, fault diagnosis is a problem of classification. A method based on Local Outlier Factor (LOF) anomaly detection and BP neural network is proposed to apply to steel plates fault diagnosis. The LOF method is firstly used to find the anomaly samples and process the relevant samples detected. Then the processed samples are used to train a back-propagation neural network (BPNN) to classify steel plate faults. It is to be noted that the LOF method's effect of outlier elimination nicely overcomes the specific defect of the BP neural network model in which the training process is very sensitive to singularities in the training samples. Results of contrastive experiments indicate that the proposed method can reliably improve the classification accuracy and decrease the training time.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121280746","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162758
L. Ling, Yifeng Niu, Huayong Zhu
A critical safety concern with the rapid increase in UAVs is developing algorithms that can solve the pressing airborne collision avoidance problem. This paper proposed a collision avoidance algorithm for UAVs based on the Lyapunov method. A collision cone approach is used to predict any possible collision with the obstacle. It begins with the property of the parallel navigation, then formulates the problem as the stability of the control system. Using the Lyapunov method to analyze the stability of the system, we can obtain the UAV rendezvous guidance law. Furthermore, combining the geometric characteristic of the collision avoidance, we can also obtain the UAV collision avoidance law. The feasibility and performance of the proposed approach is not only mathematically analyzed, but also verified through simulation.
{"title":"Lyapunov method-based collision avoidance for UAVs","authors":"L. Ling, Yifeng Niu, Huayong Zhu","doi":"10.1109/CCDC.2015.7162758","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162758","url":null,"abstract":"A critical safety concern with the rapid increase in UAVs is developing algorithms that can solve the pressing airborne collision avoidance problem. This paper proposed a collision avoidance algorithm for UAVs based on the Lyapunov method. A collision cone approach is used to predict any possible collision with the obstacle. It begins with the property of the parallel navigation, then formulates the problem as the stability of the control system. Using the Lyapunov method to analyze the stability of the system, we can obtain the UAV rendezvous guidance law. Furthermore, combining the geometric characteristic of the collision avoidance, we can also obtain the UAV collision avoidance law. The feasibility and performance of the proposed approach is not only mathematically analyzed, but also verified through simulation.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127257341","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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