Pub Date : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627599
A. Mehrabian, J. Roshanian
This work is concerned with an application of gain-scheduling control method to design of skid-to-turn (STT) missile autopilot. Presented simple non-linear adaptive controller is developed by combining linear parameter-varying (LPV) gain scheduling approach with eigenvalue assignment control technique. Subsequently, linear interpolation is applied to generate non-linear parameter varying controller from a finite number of linear time-invariant (LTI) controllers. Results of simulations are reported to demonstrate performance, stability as well as robustness of introduced scheme
{"title":"Design of gain-scheduled autopilot for a highly-agile missile","authors":"A. Mehrabian, J. Roshanian","doi":"10.1109/ISSCAA.2006.1627599","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627599","url":null,"abstract":"This work is concerned with an application of gain-scheduling control method to design of skid-to-turn (STT) missile autopilot. Presented simple non-linear adaptive controller is developed by combining linear parameter-varying (LPV) gain scheduling approach with eigenvalue assignment control technique. Subsequently, linear interpolation is applied to generate non-linear parameter varying controller from a finite number of linear time-invariant (LTI) controllers. Results of simulations are reported to demonstrate performance, stability as well as robustness of introduced scheme","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"355 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133650641","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627679
Xisheng Zhan, Shuchen Li, Chunyan Zhai, Jie Wu, Jing Ma
A design method of robust iterative learning controller is proposed for time-varying systems with uncertain time-delay. The controller is obtained by resolving Riccati equation. In addition, the necessary and sufficient conditions of convergence are derived by Lyapunov theory. The proposed controller has lower order and can be more easily realized than robust controller. The scheme proposed guarantees that the tracking error converges to a pre-specified error bound after finite iterations. Cite a two-link planar robot as an example. The simulation result shows the effectiveness and feasibility of the proposed method
{"title":"A new approach to robust stability analysis of uncertain time-delay systems","authors":"Xisheng Zhan, Shuchen Li, Chunyan Zhai, Jie Wu, Jing Ma","doi":"10.1109/ISSCAA.2006.1627679","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627679","url":null,"abstract":"A design method of robust iterative learning controller is proposed for time-varying systems with uncertain time-delay. The controller is obtained by resolving Riccati equation. In addition, the necessary and sufficient conditions of convergence are derived by Lyapunov theory. The proposed controller has lower order and can be more easily realized than robust controller. The scheme proposed guarantees that the tracking error converges to a pre-specified error bound after finite iterations. Cite a two-link planar robot as an example. The simulation result shows the effectiveness and feasibility of the proposed method","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127247957","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627476
Zhixin Liu, Dawei Zhang, H. Qi
Recent works suggests that substantial gains in surface quality can be realized by better selection of high speed machining parameters. Machining parameters such as cutting speed, feed per tooth, axial depth of cut and radial depth of cut deeply affect the surface quality. This paper developed an artificial neural network (ANN) model for analysis and prediction of the relationship between roughness and machining parameters. The input parameters of the ANN model are the cutting speed, feed rate, axial depth of cut and radial depth of cut. The output parameters of the model are surface roughness measured after the machining trials. The model consists of a three-layered feed-forward back-propagation neural network. The network is trained with pairs of inputs/outputs datasets generated when high speed milling titanium alloy (TC4). A very good performance of the neural network, in terms of agreement with experimental data was achieved. The model can not only be used to determine in advance the surface roughness of work piece, but also make us know how these machining parameters affect the surface roughness
{"title":"Surface roughness modeling of high speed machining TC4 based on artificial neural network method","authors":"Zhixin Liu, Dawei Zhang, H. Qi","doi":"10.1109/ISSCAA.2006.1627476","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627476","url":null,"abstract":"Recent works suggests that substantial gains in surface quality can be realized by better selection of high speed machining parameters. Machining parameters such as cutting speed, feed per tooth, axial depth of cut and radial depth of cut deeply affect the surface quality. This paper developed an artificial neural network (ANN) model for analysis and prediction of the relationship between roughness and machining parameters. The input parameters of the ANN model are the cutting speed, feed rate, axial depth of cut and radial depth of cut. The output parameters of the model are surface roughness measured after the machining trials. The model consists of a three-layered feed-forward back-propagation neural network. The network is trained with pairs of inputs/outputs datasets generated when high speed milling titanium alloy (TC4). A very good performance of the neural network, in terms of agreement with experimental data was achieved. The model can not only be used to determine in advance the surface roughness of work piece, but also make us know how these machining parameters affect the surface roughness","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115798892","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627612
Zhenming Peng, Bin Huang, Qiheng Zhang
Several fractal parameters have intrinsic differences between natural background and the man-made targets. These fractal differences present us a new approach for target detection. The research indicates that it is an effective method for detecting the man-made objects from a simple background by using a single fractal feature. For target detection in complexity environment, we calculate the differential box-counting (DBC) of the image according to Sarkar and Chaudhuri's approach, and then use the probabilistic relaxation iteration algorithms (PRIA) to enhance the fractal features. Experimental results demonstrate the proposed method is feasible and effective
{"title":"Detecting the man-made target based on enhanced fractal feature using PRIA","authors":"Zhenming Peng, Bin Huang, Qiheng Zhang","doi":"10.1109/ISSCAA.2006.1627612","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627612","url":null,"abstract":"Several fractal parameters have intrinsic differences between natural background and the man-made targets. These fractal differences present us a new approach for target detection. The research indicates that it is an effective method for detecting the man-made objects from a simple background by using a single fractal feature. For target detection in complexity environment, we calculate the differential box-counting (DBC) of the image according to Sarkar and Chaudhuri's approach, and then use the probabilistic relaxation iteration algorithms (PRIA) to enhance the fractal features. Experimental results demonstrate the proposed method is feasible and effective","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801734","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627560
Taibin Hu, Jianjun Chen, Zhentao Liang
To the rotation joints in deployment mechanism of umbrella antenna used in satellite, the movement reliability has two parallel performance functions: the performance function according to rotation work and that according to rotation moment. By means of the random functional moment method and the second moment method for reliability analysis, corresponding to the beginning phase, outspreading phase and the phase that the net has pressing force, the expressions of two performance functions were established respectively to calculate the reliability. Finally, the change curve of the movement reliability of umbrella antenna outspread mechanism with outspreading angle was analyzed with an example. To the whole outspreading course, the reliability has the trend of first increase and then decrease, and the reliability of the beginning phase was smallest
{"title":"Movement reliability analysis of umbrella antenna rotation joint","authors":"Taibin Hu, Jianjun Chen, Zhentao Liang","doi":"10.1109/ISSCAA.2006.1627560","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627560","url":null,"abstract":"To the rotation joints in deployment mechanism of umbrella antenna used in satellite, the movement reliability has two parallel performance functions: the performance function according to rotation work and that according to rotation moment. By means of the random functional moment method and the second moment method for reliability analysis, corresponding to the beginning phase, outspreading phase and the phase that the net has pressing force, the expressions of two performance functions were established respectively to calculate the reliability. Finally, the change curve of the movement reliability of umbrella antenna outspread mechanism with outspreading angle was analyzed with an example. To the whole outspreading course, the reliability has the trend of first increase and then decrease, and the reliability of the beginning phase was smallest","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115898006","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627619
Shoupeng Han, Xinyu Yao, Kedi Huang
Simulation is an important technology in a spacecraft's whole lifecycle. To better facilitate spacecraft modeling and simulation development as well as model integration and reuse, a flexible cooperative modeling and simulation framework which is based on data driven methodology and DEVS (discrete event system specification) is proposed. To verify its effectiveness, a concrete realization of this kind of system was developed and its use in our digital spacecraft design platform indicates that it has good simulation adaptabilities and is suited to improve model composabilities
{"title":"A flexible data driven cooperative simulation environment for digital spacecraft design","authors":"Shoupeng Han, Xinyu Yao, Kedi Huang","doi":"10.1109/ISSCAA.2006.1627619","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627619","url":null,"abstract":"Simulation is an important technology in a spacecraft's whole lifecycle. To better facilitate spacecraft modeling and simulation development as well as model integration and reuse, a flexible cooperative modeling and simulation framework which is based on data driven methodology and DEVS (discrete event system specification) is proposed. To verify its effectiveness, a concrete realization of this kind of system was developed and its use in our digital spacecraft design platform indicates that it has good simulation adaptabilities and is suited to improve model composabilities","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115926149","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627495
Bo Wang, Zhigang Li, Yuedong Liu
Alignment problem is a prerequisite process for data fusion of the radar networking. Classical registration algorithms are always proposed for fixed radars, which can't solve the alignment problem of the mobile radars ignoring attitude and attitude errors. This problem is studied in this paper. Using Taylor series, the linear model between the measurements and the errors are derived, and then a new real-time alignment algorithm for mobile radars is proposed based on Kalman filter. Finally, the effectiveness of this algorithm is conformed by simulation
{"title":"A real-time alignment algorithm based on Kalman filter","authors":"Bo Wang, Zhigang Li, Yuedong Liu","doi":"10.1109/ISSCAA.2006.1627495","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627495","url":null,"abstract":"Alignment problem is a prerequisite process for data fusion of the radar networking. Classical registration algorithms are always proposed for fixed radars, which can't solve the alignment problem of the mobile radars ignoring attitude and attitude errors. This problem is studied in this paper. Using Taylor series, the linear model between the measurements and the errors are derived, and then a new real-time alignment algorithm for mobile radars is proposed based on Kalman filter. Finally, the effectiveness of this algorithm is conformed by simulation","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124435836","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627501
J. Jodei, M. Ebrahimi, J. Roshanian
Current methodology for multidisciplinary conceptual design optimization of expendable launch vehicles necessitates evaluation of a large number of different combinations. With existing codes, performance evaluation of all design combinations becomes very time consuming and restricts design space. Up to now, a commonly used solution to this problem has been the creation of approximation models such as, quadratic response surface equations and surrogating these models in automated design optimization cycle. However, the design space of multi-stages launch vehicles is highly nonlinear and cannot be adequately modeled by response surface approximation. In this paper, a fully automated approach for multidisciplinary system design optimization of small solid propellant launch vehicles is presented to improve design performance and reduce design cycle. Required codes were developed in homogenous environment
{"title":"An automated approach to multidisciplinary system design optimization of small solid propellant launch vehicles","authors":"J. Jodei, M. Ebrahimi, J. Roshanian","doi":"10.1109/ISSCAA.2006.1627501","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627501","url":null,"abstract":"Current methodology for multidisciplinary conceptual design optimization of expendable launch vehicles necessitates evaluation of a large number of different combinations. With existing codes, performance evaluation of all design combinations becomes very time consuming and restricts design space. Up to now, a commonly used solution to this problem has been the creation of approximation models such as, quadratic response surface equations and surrogating these models in automated design optimization cycle. However, the design space of multi-stages launch vehicles is highly nonlinear and cannot be adequately modeled by response surface approximation. In this paper, a fully automated approach for multidisciplinary system design optimization of small solid propellant launch vehicles is presented to improve design performance and reduce design cycle. Required codes were developed in homogenous environment","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404590","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627562
Jun Yu Li, Feng Zhao
The paper demonstrates that radial basis function network (RBFN) with adaptive centers and width can be used effectively for identification of nonlinear dynamic system. The proposed RBFN is trained by hybrid learning algorithm, which uses conjugate gradient optimization algorithm to obtain the center and width of each radial basis function and the least squares method to obtain the weights. To avoid capturing a local optimum, regularization error energy function is used and the centers of basis functions are initialized using a fuzzy C-means clustering method. Simulation results reveal that the identification schemes based on RBFN gives considerably better performance and show faster learning in comparison to previous methods
{"title":"Identification of dynamical systems using radial basis function neural networks with hybrid learning algorithm","authors":"Jun Yu Li, Feng Zhao","doi":"10.1109/ISSCAA.2006.1627562","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627562","url":null,"abstract":"The paper demonstrates that radial basis function network (RBFN) with adaptive centers and width can be used effectively for identification of nonlinear dynamic system. The proposed RBFN is trained by hybrid learning algorithm, which uses conjugate gradient optimization algorithm to obtain the center and width of each radial basis function and the least squares method to obtain the weights. To avoid capturing a local optimum, regularization error energy function is used and the centers of basis functions are initialized using a fuzzy C-means clustering method. Simulation results reveal that the identification schemes based on RBFN gives considerably better performance and show faster learning in comparison to previous methods","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993793","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 : 2006-05-08DOI: 10.1109/ISSCAA.2006.1627537
L. Cao, Jinkun Liu
In this paper, Takagi-Sugeno (T-S) fuzzy model approach is exploited to establish stability criteria for a class of nonlinear uncertain systems with time delay. The T-S fuzzy model is used to describe a nonlinear uncertain system in terms of fuzzy sets and fuzzy reasoning applied to a set of linear sub models. Moreover the system is considered in two conditions: the upper bound of the disturbance is known and that unknown, respectively. In terms of Lyapunov's direct method for multiple time-delay fuzzy interconnected systems, a novel linear matrix inequalities (LMIs) will be utilized to solve the problem. Finally, the proposed methodology is illustrated by an example of a nonlinear system with time-delay
{"title":"Fuzzy controller design for nonlinear uncertain system with time delay based on LMI approach","authors":"L. Cao, Jinkun Liu","doi":"10.1109/ISSCAA.2006.1627537","DOIUrl":"https://doi.org/10.1109/ISSCAA.2006.1627537","url":null,"abstract":"In this paper, Takagi-Sugeno (T-S) fuzzy model approach is exploited to establish stability criteria for a class of nonlinear uncertain systems with time delay. The T-S fuzzy model is used to describe a nonlinear uncertain system in terms of fuzzy sets and fuzzy reasoning applied to a set of linear sub models. Moreover the system is considered in two conditions: the upper bound of the disturbance is known and that unknown, respectively. In terms of Lyapunov's direct method for multiple time-delay fuzzy interconnected systems, a novel linear matrix inequalities (LMIs) will be utilized to solve the problem. Finally, the proposed methodology is illustrated by an example of a nonlinear system with time-delay","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116864356","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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