Pub Date : 2006-10-23DOI: 10.1109/WCICA.2006.1712635
Z. Xiong, F. Sun, Qi Nie
An observability analysis of the rapid transfer alignment (RTA) of the inertial navigation system (INS) is presented in this paper. RTA is divided into the time-invariant system and time-varying system to be analyzed. When there is not rotation between the body frame and navigation frame, or the sensed specific force of slave inertial navigation system (SINS) is constant, RTA is a time-invariant system and has three unobservable states. Moreover the three misalignments are not estimated at the same time. When RTA is a time-variant system, it will be instantaneous observable by appropriate maneuver, which is easily achieved. With the level constant velocity maneuver, RTA is similar to a time-invariant system. So it has three unobservable states. With the level turn maneuver, RTA is instantaneous observable if the rotation angular rate is non-constant. With the marine sway maneuver and wing-rock maneuver, RTA is observable. The result of the investigation shows that appropriate maneuver, which is non-constant acceleration and/or rotation with non-constant angular rate, will enhance the observability of RTA easily
{"title":"Observability Analysis of INS Rapid Transfer Alignment","authors":"Z. Xiong, F. Sun, Qi Nie","doi":"10.1109/WCICA.2006.1712635","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712635","url":null,"abstract":"An observability analysis of the rapid transfer alignment (RTA) of the inertial navigation system (INS) is presented in this paper. RTA is divided into the time-invariant system and time-varying system to be analyzed. When there is not rotation between the body frame and navigation frame, or the sensed specific force of slave inertial navigation system (SINS) is constant, RTA is a time-invariant system and has three unobservable states. Moreover the three misalignments are not estimated at the same time. When RTA is a time-variant system, it will be instantaneous observable by appropriate maneuver, which is easily achieved. With the level constant velocity maneuver, RTA is similar to a time-invariant system. So it has three unobservable states. With the level turn maneuver, RTA is instantaneous observable if the rotation angular rate is non-constant. With the marine sway maneuver and wing-rock maneuver, RTA is observable. The result of the investigation shows that appropriate maneuver, which is non-constant acceleration and/or rotation with non-constant angular rate, will enhance the observability of RTA easily","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125820975","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1714438
Ping Chu, Wenzhan Dai
First, a multiple objective programming model is presented based on dynamic multiple attribute decision-making with interval numbers, and then the attribute weight vectors and the integrated values are computed in order to judge weather there is dominant alternative. Finally, the method is applied to a practical example and the results show that the method is rational and effective
{"title":"Research on Dynamic Multiple Attribute Decision-Making with Interval Numbers","authors":"Ping Chu, Wenzhan Dai","doi":"10.1109/WCICA.2006.1714438","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714438","url":null,"abstract":"First, a multiple objective programming model is presented based on dynamic multiple attribute decision-making with interval numbers, and then the attribute weight vectors and the integrated values are computed in order to judge weather there is dominant alternative. Finally, the method is applied to a practical example and the results show that the method is rational and effective","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125927197","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1714507
Zhenhao Xu, Xingsheng Gu
There are various uncertainties in the production scheduling of industrial processes in reality. The earliness/tardiness flow shop scheduling problems under uncertainty with different due windows are discussed in the paper. Based on the fuzzy programming theory, a scheduling model has been established and the uncertain processing time can be dealt with by fuzzy mathematics. And a fuzzy scheduling algorithm is proposed by analogy with the concept and the principle of biological immune system. Simulation results demonstrate the effectiveness of the fuzzy scheduling model and the better astringency of the algorithm
{"title":"An Approach for Earliness and Tardiness Scheduling Problems of Flow Shop with Uncertainty","authors":"Zhenhao Xu, Xingsheng Gu","doi":"10.1109/WCICA.2006.1714507","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714507","url":null,"abstract":"There are various uncertainties in the production scheduling of industrial processes in reality. The earliness/tardiness flow shop scheduling problems under uncertainty with different due windows are discussed in the paper. Based on the fuzzy programming theory, a scheduling model has been established and the uncertain processing time can be dealt with by fuzzy mathematics. And a fuzzy scheduling algorithm is proposed by analogy with the concept and the principle of biological immune system. Simulation results demonstrate the effectiveness of the fuzzy scheduling model and the better astringency of the algorithm","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123670437","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1713529
Jiazhong Xu, B. You, Deli Jia, Dongjie Li, Zhongcai Li
This paper presents the structure and production process of FRP sand-filling pipes and builds winding pattern model and speed control model according to filament winding theory. The open numerical control system of winding machine based on industrial computer and motion control card was designed. The spindle is driven by frequency converter which is controlled by motion control card, using feedback of rotary encoder mounted at the spindle to accomplish closed-loop speed control and measurement of spindle position. A servo motor is applied to complete accurate position control of the carriage. The control software is developed with VC++ 6.0 language based on Windows NT platform. The software structure and functions of process parameters setting, remote control, and winding after accident interruption are also introduced. It is proved that this system improves production efficiency and pipe quality greatly
{"title":"Research and Development on Control System of Winding Machine for FRP Sand-filling Pipes","authors":"Jiazhong Xu, B. You, Deli Jia, Dongjie Li, Zhongcai Li","doi":"10.1109/WCICA.2006.1713529","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713529","url":null,"abstract":"This paper presents the structure and production process of FRP sand-filling pipes and builds winding pattern model and speed control model according to filament winding theory. The open numerical control system of winding machine based on industrial computer and motion control card was designed. The spindle is driven by frequency converter which is controlled by motion control card, using feedback of rotary encoder mounted at the spindle to accomplish closed-loop speed control and measurement of spindle position. A servo motor is applied to complete accurate position control of the carriage. The control software is developed with VC++ 6.0 language based on Windows NT platform. The software structure and functions of process parameters setting, remote control, and winding after accident interruption are also introduced. It is proved that this system improves production efficiency and pipe quality greatly","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123719104","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1713152
P. Li, Jin Zhang, Yaping Lin
Limited resources in sensor make it very hard to assure security. Based on suitable encrypting algorithm and effective method to construct multi-path, a secure routing algorithm is proposed. The algorithm synthesizes encryption algorithm and key distribution strategy to encrypt data and provide the security. Based on these, multi-path is constructed and used to validate reciprocally the data forwarded by different path. Simulating experiments show that the algorithm has good performance
{"title":"Multipath-Based Secure Routing Algorithm for Sensor Network","authors":"P. Li, Jin Zhang, Yaping Lin","doi":"10.1109/WCICA.2006.1713152","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713152","url":null,"abstract":"Limited resources in sensor make it very hard to assure security. Based on suitable encrypting algorithm and effective method to construct multi-path, a secure routing algorithm is proposed. The algorithm synthesizes encryption algorithm and key distribution strategy to encrypt data and provide the security. Based on these, multi-path is constructed and used to validate reciprocally the data forwarded by different path. Simulating experiments show that the algorithm has good performance","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125262174","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1713151
Hejin Yuan, Yanning Zhang, Dengfu Zhang, Gen Yang
A new modified particle swarm optimization algorithm for linear equation constrained optimization problem was put forward. And the method using this algorithm to train support vector machine was given. In the new algorithm, the particle studies not only from itself and the best one but also from other particles in the population with certain probability. This strengthened learning behavior can make the particle to search the whole solution space better. In addition, the mutation for the particle is considered in the new algorithm. The mutation operation is executed when the particle swarm becomes stagnated, which is decided by calculating the population diversity with the formula presented in this paper. For the specific constraints of support vector machine, a new method to initialize the particles in the feasible solution space was provided. The experiments on synthetic and sonar dataset classification show that our algorithm is feasible and robust for support vector machine training
{"title":"A Modified Particle Swarm Optimization Algorithm for Support Vector Machine Training","authors":"Hejin Yuan, Yanning Zhang, Dengfu Zhang, Gen Yang","doi":"10.1109/WCICA.2006.1713151","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713151","url":null,"abstract":"A new modified particle swarm optimization algorithm for linear equation constrained optimization problem was put forward. And the method using this algorithm to train support vector machine was given. In the new algorithm, the particle studies not only from itself and the best one but also from other particles in the population with certain probability. This strengthened learning behavior can make the particle to search the whole solution space better. In addition, the mutation for the particle is considered in the new algorithm. The mutation operation is executed when the particle swarm becomes stagnated, which is decided by calculating the population diversity with the formula presented in this paper. For the specific constraints of support vector machine, a new method to initialize the particles in the feasible solution space was provided. The experiments on synthetic and sonar dataset classification show that our algorithm is feasible and robust for support vector machine training","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125316084","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1714292
Gaoyu Zhang, Jimin Liang, Heng Zhao, Wan-Haeng Yang
For power control problem in high frequency weld with tube, a control algorithm based on multi-sensor particle filtering and fuzzy fusion is proposed here. For adjust weld power, the signals from the tube walking speed sensor and lossless detection sensor are monitored and fused. Not only the relation between the target control function and the tube walking speed or the weld wound is nonlinear but also the state equation of the speed or the weld wound is nonlinear, the sequential importance resampling Bayesian filtering is used to track and predict the speed and wound. These predictive signals are considered the input of the fuzzy neural network to predict the weld state. The weld power is adjusted according to the weld state prediction so the melted weld or lack weld is avoided. Finally a simulation example is given and a good result is obtained
{"title":"Multi-sensor High Frequency Weld Control Based on Particle Filtering and Fuzzy Fusion","authors":"Gaoyu Zhang, Jimin Liang, Heng Zhao, Wan-Haeng Yang","doi":"10.1109/WCICA.2006.1714292","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714292","url":null,"abstract":"For power control problem in high frequency weld with tube, a control algorithm based on multi-sensor particle filtering and fuzzy fusion is proposed here. For adjust weld power, the signals from the tube walking speed sensor and lossless detection sensor are monitored and fused. Not only the relation between the target control function and the tube walking speed or the weld wound is nonlinear but also the state equation of the speed or the weld wound is nonlinear, the sequential importance resampling Bayesian filtering is used to track and predict the speed and wound. These predictive signals are considered the input of the fuzzy neural network to predict the weld state. The weld power is adjusted according to the weld state prediction so the melted weld or lack weld is avoided. Finally a simulation example is given and a good result is obtained","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125530252","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1713021
Yite Xu, DazhenYe
This paper extended the model of continue particle swarm optimization (PSO) to discrete particle swarm optimization (DPSO) and gave its model on the basis of the analysis of conventional PSO, and, moreover, proposed a DPSO algorithm based on a velocity-changeable tunability mechanism by employing the tunable velocity of DPSO originated from the analysis of the velocity of particles, and combined with the property of a finite alphabet of blind sequence to solve the problem of direct blind sequence detection. Simulations demonstrate that this method is characterized with stronger directness and robustness compared with traditional methods and other direct blind sequence detection method and does not suffer from the limit of characteristics of channels and obtains good performance
{"title":"Application of Velocity-Changeable Discrete Particle Swarm Optimization Algorithm for Blind Detection","authors":"Yite Xu, DazhenYe","doi":"10.1109/WCICA.2006.1713021","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713021","url":null,"abstract":"This paper extended the model of continue particle swarm optimization (PSO) to discrete particle swarm optimization (DPSO) and gave its model on the basis of the analysis of conventional PSO, and, moreover, proposed a DPSO algorithm based on a velocity-changeable tunability mechanism by employing the tunable velocity of DPSO originated from the analysis of the velocity of particles, and combined with the property of a finite alphabet of blind sequence to solve the problem of direct blind sequence detection. Simulations demonstrate that this method is characterized with stronger directness and robustness compared with traditional methods and other direct blind sequence detection method and does not suffer from the limit of characteristics of channels and obtains good performance","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126641955","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1714392
Guoyan Yu, Zhenlei He, Chaoan Lai, Bing Lu
Application actuality of evolutionary algorithms in product design is discussed, and characteristics and default of evolutionary design are summarized. An interactive evolutionary technology is proposed, which can integrate intelligence of human and computer for product design, the function model of interactive evolutionary design system is described. Finally, an interactive evolutionary design support system combining case based reasoning technology is developed, and it is used in the structure design of injecting mould successfully. Through dynamical modulating of constraints and objective for design in the design process, intelligence of human and computer are integrated to design product in the system. The proposed interactive evolutionary technology is effective for complex problem with large scale variables and constraints
{"title":"The Application of Interactive Evolutionary Algorithm in Product Design","authors":"Guoyan Yu, Zhenlei He, Chaoan Lai, Bing Lu","doi":"10.1109/WCICA.2006.1714392","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714392","url":null,"abstract":"Application actuality of evolutionary algorithms in product design is discussed, and characteristics and default of evolutionary design are summarized. An interactive evolutionary technology is proposed, which can integrate intelligence of human and computer for product design, the function model of interactive evolutionary design system is described. Finally, an interactive evolutionary design support system combining case based reasoning technology is developed, and it is used in the structure design of injecting mould successfully. Through dynamical modulating of constraints and objective for design in the design process, intelligence of human and computer are integrated to design product in the system. The proposed interactive evolutionary technology is effective for complex problem with large scale variables and constraints","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126736819","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 : 2006-10-23DOI: 10.1109/WCICA.2006.1713523
Qingwu Fan, Pu Wang, Lianbao Zhang, Jun Li
Traditional method about designing blue print in course of surface laser quenching was studied. Expert system of laser quenching based on genetic-neural network was presented. Knowledge acquisition, construction of knowledge base and design of inference engine were introduced in detail. The trial running results show that this research raised an advanced and reasonable path for performance prediction and optimization design of laser quenching
{"title":"The Research of Expert System of Laser Quenching Based on Genetic-Neural Network","authors":"Qingwu Fan, Pu Wang, Lianbao Zhang, Jun Li","doi":"10.1109/WCICA.2006.1713523","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713523","url":null,"abstract":"Traditional method about designing blue print in course of surface laser quenching was studied. Expert system of laser quenching based on genetic-neural network was presented. Knowledge acquisition, construction of knowledge base and design of inference engine were introduced in detail. The trial running results show that this research raised an advanced and reasonable path for performance prediction and optimization design of laser quenching","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126773203","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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