In this paper, we consider the generalized nonlinear complementarity problem in engineering modeling (GNCP). We propose a solution method to solve the GNCP, and its global convergence is also established under weaker conditions.
{"title":"A Solution Method for the Generalized Nonlinear Complementarity Problem in Engineering Model","authors":"G. Pan, Hongchun Sun","doi":"10.1109/IHMSC.2015.261","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.261","url":null,"abstract":"In this paper, we consider the generalized nonlinear complementarity problem in engineering modeling (GNCP). We propose a solution method to solve the GNCP, and its global convergence is also established under weaker conditions.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"280 1","pages":"40-42"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80121313","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}
The variable pump driving variable motor (VPDVM) is the future trends of the development of the hydraulic transmission of an unmanned ground vehicle (UGV). VPDVM is a dual-input single-output nonlinear system with coupling, which is difficult to control. A novel control algorithm, high pressure automatic displacement back stepping (HABS), is proposed to achieve the desired motor speed, in which the variable motor is controlled by high pressure automatic displacement (HA) and the variable pump is controlled by back stepping algorithm. The stability of the VPDVM controlled by HABS is proved based on the Lyapunov stability theorem. Numerical simulations and experimental results of the VPDVM are provided to demonstrate the feasibility and strong robustness of the HABS.
{"title":"High Pressure Automatic Displacement Backstepping for the Variable Pump Driving Variable Motor of an Unmanned Ground Vehicle","authors":"Yan Wang, Xu-qing Qin","doi":"10.1109/IHMSC.2015.166","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.166","url":null,"abstract":"The variable pump driving variable motor (VPDVM) is the future trends of the development of the hydraulic transmission of an unmanned ground vehicle (UGV). VPDVM is a dual-input single-output nonlinear system with coupling, which is difficult to control. A novel control algorithm, high pressure automatic displacement back stepping (HABS), is proposed to achieve the desired motor speed, in which the variable motor is controlled by high pressure automatic displacement (HA) and the variable pump is controlled by back stepping algorithm. The stability of the VPDVM controlled by HABS is proved based on the Lyapunov stability theorem. Numerical simulations and experimental results of the VPDVM are provided to demonstrate the feasibility and strong robustness of the HABS.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"9 1","pages":"56-59"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76992948","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 study presents an intelligent fuzzy controller for maximum power point tracking (MPPT) in partially shaded photovoltaic (PV) systems. Conventional MPPT methods may fail to track the actual maximum power point under partially shaded conditions, because multiple local peaks can be existed on the power-voltage characteristic curve. The model of the PV system is analyzed in detail. Then the novel MPPT controller including a fuzzy logic control and an intelligent scanning method is proposed. The excellent performance of the proposed MPPT algorithm is verified by simulation results.
{"title":"An Intelligent Fuzzy Controller for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems","authors":"Liang Zhou, Zhenxing Wu, Guangsen Wang, Meina Wu","doi":"10.1109/IHMSC.2015.82","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.82","url":null,"abstract":"This study presents an intelligent fuzzy controller for maximum power point tracking (MPPT) in partially shaded photovoltaic (PV) systems. Conventional MPPT methods may fail to track the actual maximum power point under partially shaded conditions, because multiple local peaks can be existed on the power-voltage characteristic curve. The model of the PV system is analyzed in detail. Then the novel MPPT controller including a fuzzy logic control and an intelligent scanning method is proposed. The excellent performance of the proposed MPPT algorithm is verified by simulation results.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"1 1","pages":"345-348"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90680721","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}
The dynamic model of a cracked rotor-bearing system with initial bend deformation was established and a kinetic equation is set up to express the vibration characteristics. Numerical method is adopted to analyze the effects of the depth of crack and the initial bend deformation on the vibration response of the rotor system. The results indicate that, the chaotic region near the critical speed of the rotor with initial bend deformation is wider than that without initial bend deformation, and the chaotic region become slowly as the depth of crack increases. The dynamic phenomena of initial bend deformation play a dominant role in the case of shallow cracks, there is a short region for period-twelve, and most of them are chaotic motion. The vibration response of the rotor system with different initial bend deformation appear periodic and chaotic states alternate as the depth increase. It indicated that this research may contribution to further understanding of the failure mechanism of such a rotor-bearing system.
{"title":"The Nonlinear Dynamic Characteristics of a Cracked Rotor-Bearing System with Initial Bend Deformation","authors":"Lei Weng, Zichun Yang, Yueyun Cao","doi":"10.1109/IHMSC.2015.162","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.162","url":null,"abstract":"The dynamic model of a cracked rotor-bearing system with initial bend deformation was established and a kinetic equation is set up to express the vibration characteristics. Numerical method is adopted to analyze the effects of the depth of crack and the initial bend deformation on the vibration response of the rotor system. The results indicate that, the chaotic region near the critical speed of the rotor with initial bend deformation is wider than that without initial bend deformation, and the chaotic region become slowly as the depth of crack increases. The dynamic phenomena of initial bend deformation play a dominant role in the case of shallow cracks, there is a short region for period-twelve, and most of them are chaotic motion. The vibration response of the rotor system with different initial bend deformation appear periodic and chaotic states alternate as the depth increase. It indicated that this research may contribution to further understanding of the failure mechanism of such a rotor-bearing system.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"51 1","pages":"341-344"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90944121","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}
There is an irregular data distribution when using multi-sensor to monitor reciprocating compressor conditions. It is difficult to deal with conventional approaches. In this paper an improved genetic algorithm based clustering method is used to solve the problem. First a prototype-based genetic representation is utilized, where each chromosome is a set of positive integer numbers that represent a specific sequence number of the k-medoids. A geodesic distance based proximity measures is adopted to measure the similarity among data points. To improve the algorithm searching performance, the probabilities of crossover and mutation can be dynamically adjusted based on the information entropy of population fitness distribution. We apply the algorithm to detect fault conditions of inlet valve train leakage in a two-stage reciprocating compressor. Experimental results demonstrate the effectiveness of the algorithm as a clustering technique. Compared with generic K-means algorithm for clustering task, the presented algorithm has the ability to identify complicated non-convex clusters and its clustering performance is clearly better than that of the K-means algorithm for complex manifold structures.
{"title":"An Improved Genetic Clustering-Based Fault Detection for Reciprocation Compressor Valve Train","authors":"Gang Li, Wukui Cheng, Qinghua Wang, Jian Zhuang","doi":"10.1109/IHMSC.2015.169","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.169","url":null,"abstract":"There is an irregular data distribution when using multi-sensor to monitor reciprocating compressor conditions. It is difficult to deal with conventional approaches. In this paper an improved genetic algorithm based clustering method is used to solve the problem. First a prototype-based genetic representation is utilized, where each chromosome is a set of positive integer numbers that represent a specific sequence number of the k-medoids. A geodesic distance based proximity measures is adopted to measure the similarity among data points. To improve the algorithm searching performance, the probabilities of crossover and mutation can be dynamically adjusted based on the information entropy of population fitness distribution. We apply the algorithm to detect fault conditions of inlet valve train leakage in a two-stage reciprocating compressor. Experimental results demonstrate the effectiveness of the algorithm as a clustering technique. Compared with generic K-means algorithm for clustering task, the presented algorithm has the ability to identify complicated non-convex clusters and its clustering performance is clearly better than that of the K-means algorithm for complex manifold structures.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"12 1","pages":"353-356"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86558249","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}
Hui Zhang, T. Shi, Shi-Qiang He, Haizhou Wang, Feng Ruan
Aimed at the defect of black spots, hair, bubbles in medical PP infusion, infusion defect detection system based on machine vision is proposed. Firstly, r design the mechanical actuators, electrical control, and image acquisition system, then use reverse PM diffusion algorithm to enhance the defect area, extracting this area by difference after binarization, and filter the image. Secondly, SVM is used to classify defects and the defective area automatically. Meanwhile, in order to improve the performance of the classifier, the paper selected the best classification parameters based cross validation. The results show that the method is high detection accuracy and requires less training samples, applies to different defect types with accuracy rate of 95%.
{"title":"Visual Detection System Design for Plastic Infusion Combinations Containers Based on Reverse PM Diffusion","authors":"Hui Zhang, T. Shi, Shi-Qiang He, Haizhou Wang, Feng Ruan","doi":"10.1109/IHMSC.2015.231","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.231","url":null,"abstract":"Aimed at the defect of black spots, hair, bubbles in medical PP infusion, infusion defect detection system based on machine vision is proposed. Firstly, r design the mechanical actuators, electrical control, and image acquisition system, then use reverse PM diffusion algorithm to enhance the defect area, extracting this area by difference after binarization, and filter the image. Secondly, SVM is used to classify defects and the defective area automatically. Meanwhile, in order to improve the performance of the classifier, the paper selected the best classification parameters based cross validation. The results show that the method is high detection accuracy and requires less training samples, applies to different defect types with accuracy rate of 95%.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"45 1 1","pages":"306-310"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90108541","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}
Formulating reasonable and accurate wind-photovoltaic-battery generation system power forecasting strategy can improve the security and stability of new energy access to the grid. An improved support vector machine model based on shuffled frog leaping algorithm is proposed to forecast wind power and photovoltaic power in wind-photovoltaic-battery generation system. Based on the historical data of normal operation as input, using the shuffled frog leaping algorithm (SFLA) to optimize the parameters which influences the regression performance of support vector machine and establish the model, then training the model and forecasting the generating power. Finally, the simulation proves that SFLA has better optimization ability, the model has higher accuracy which can effectively forecast wind and photovoltaic power in wind-photovoltaic-battery generation system.
{"title":"Application of Improved Support Vector Machine Based on Shuffled Frog Leaping Algorithm in Wind-Photovoltaic-Battery Power Forecasting","authors":"Wei Li, Jin Pang, Q. Niu, Weijia Zhang","doi":"10.1109/IHMSC.2015.248","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.248","url":null,"abstract":"Formulating reasonable and accurate wind-photovoltaic-battery generation system power forecasting strategy can improve the security and stability of new energy access to the grid. An improved support vector machine model based on shuffled frog leaping algorithm is proposed to forecast wind power and photovoltaic power in wind-photovoltaic-battery generation system. Based on the historical data of normal operation as input, using the shuffled frog leaping algorithm (SFLA) to optimize the parameters which influences the regression performance of support vector machine and establish the model, then training the model and forecasting the generating power. Finally, the simulation proves that SFLA has better optimization ability, the model has higher accuracy which can effectively forecast wind and photovoltaic power in wind-photovoltaic-battery generation system.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"33 1","pages":"128-131"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89463045","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}
To realize an effective and universal walking assist robot, we developed a weight-supporting wearable Human-Machine system, namely exoskeleton. Based on human hinge model and human kinesiology analysis, we designed a novel mechanical structure with body weight supporting. Then, the sensor and actuator units were designed and optimized. Finally, we proposed the control method based on foot plantar pressure and crotch contact force. The prototype experiment results indicated it could relieve user's knee and ankle pressure, thus assisting walking. Mostly, the wearable robot will not inflict restriction on users and is suitable for different movements of people with different height and weight.
{"title":"A Weight-Supporting Wearable Robot for Walking Assist","authors":"Wulong Huang, Xin'an Wang, Mo Wang, Yucheng Tian, Jing Li, Zheng Xie","doi":"10.1109/IHMSC.2015.184","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.184","url":null,"abstract":"To realize an effective and universal walking assist robot, we developed a weight-supporting wearable Human-Machine system, namely exoskeleton. Based on human hinge model and human kinesiology analysis, we designed a novel mechanical structure with body weight supporting. Then, the sensor and actuator units were designed and optimized. Finally, we proposed the control method based on foot plantar pressure and crotch contact force. The prototype experiment results indicated it could relieve user's knee and ankle pressure, thus assisting walking. Mostly, the wearable robot will not inflict restriction on users and is suitable for different movements of people with different height and weight.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"13 1","pages":"416-419"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88598873","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}
The plasma frequency and the collision frequency of a smart plasma antenna may influence its performance. But little has been done in this regard so far. In this paper, a model of a smart plasma antenna is founded based on an electromagnetic software, HFSS. Using the model, radiation patterns of the plasma antenna with appropriate parameters are calculated. The results show that the radiation pattern and the maximum gain of the plasma antenna change with its plasma frequency and collision frequency. In order to acquire a similar performance to the metallic antenna with the same configuration, the necessary condition is that the plasma frequency is far more than the angular frequency of the communication signal. Then the collision frequency can change around the angular frequency of the communication signal in a certain range. Moreover, the method presented in this paper provides a valid approach to the design and the optimization of the smart plasma antenna.
{"title":"Effects of the Plasma Frequency and the Collision Frequency on the Performance of a Smart Plasma Antenna","authors":"Chen Zong-sheng, Shi Jia-ming, Cheng Li","doi":"10.1109/IHMSC.2015.243","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.243","url":null,"abstract":"The plasma frequency and the collision frequency of a smart plasma antenna may influence its performance. But little has been done in this regard so far. In this paper, a model of a smart plasma antenna is founded based on an electromagnetic software, HFSS. Using the model, radiation patterns of the plasma antenna with appropriate parameters are calculated. The results show that the radiation pattern and the maximum gain of the plasma antenna change with its plasma frequency and collision frequency. In order to acquire a similar performance to the metallic antenna with the same configuration, the necessary condition is that the plasma frequency is far more than the angular frequency of the communication signal. Then the collision frequency can change around the angular frequency of the communication signal in a certain range. Moreover, the method presented in this paper provides a valid approach to the design and the optimization of the smart plasma antenna.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"67 1","pages":"521-524"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73773664","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 this paper, the methods of random Melnikov process function are introduced to educe out the threshold of chaotic movement of non-linear system. We found that the non-Gaussian color noise effect on the chaos character of Duffing oscillator is decided by the value of parameters in the model, the non-Gaussian color noise has little effect on the system's ultimate dynamic behavior when the system is in the chaotic behavior. The tiny change of sin wave swing scope and frequency will induce the chaotic system behavior great differently, the parameters can be estimated through this change, and the numerical results confirm the conclusion that the chaotic oscillator is immune to zero mean square non-Gaussian color noise for sin wave frequency and scope parameter estimate.
{"title":"Behavior Evolution of Duffing Oscillator","authors":"Yonghe Chen, Zhenbiao Wei, Zhanjun Niu, Baozhan Qin","doi":"10.1109/IHMSC.2015.139","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.139","url":null,"abstract":"In this paper, the methods of random Melnikov process function are introduced to educe out the threshold of chaotic movement of non-linear system. We found that the non-Gaussian color noise effect on the chaos character of Duffing oscillator is decided by the value of parameters in the model, the non-Gaussian color noise has little effect on the system's ultimate dynamic behavior when the system is in the chaotic behavior. The tiny change of sin wave swing scope and frequency will induce the chaotic system behavior great differently, the parameters can be estimated through this change, and the numerical results confirm the conclusion that the chaotic oscillator is immune to zero mean square non-Gaussian color noise for sin wave frequency and scope parameter estimate.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"278 1","pages":"68-72"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77582701","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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