Sheng-chang Lan, R. Sun, Jin-xiu Zhang, Ji-he Wang, Guo-dong Xu
{"title":"Satellite position calibration in distributed spacecraft system by multi-dimensional scaling","authors":"Sheng-chang Lan, R. Sun, Jin-xiu Zhang, Ji-he Wang, Guo-dong Xu","doi":"10.1109/ISSCAA.2008.4776242","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776242","url":null,"abstract":"Distributed spacecraft systems implement enormous new functions by augmenting multiple spacecrafts as unified. That demands the precise positioning information about each satellite nodes in the distributed spacecraft system. To achieve the position calibration, multidimensional scaling is introduced. MDS computes a 3-dimensional map of each satellite nodes from the distance information in the system. Based on the 3-dimensional map and locations of some anchor satellite nodes, the absolute positions of satellite nodes in the system can be calibrated. Simulation shows that this method shall provide a higher positioning accuracy for orbit control in the distributed spacecraft system without the help of GPS and other GPS-like equipments and it is also well envisioned and easily accessible to engineering.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127654731","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}
{"title":"Inter-satellite Ranging System Design in formation","authors":"S. Rui, Xu Guodong, Lan Shengchang","doi":"10.1109/ISSCAA.2008.4776383","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776383","url":null,"abstract":"An inter-satellite ranging system in formation is designed. It can be applied to measure relative distance with the help of GPS constellation or independently works when GPS is invisible. Details of this design are represented, including its architecture, hybrid TDMA/FDMA technique and ranging precision analysis. And, a probabilistic algorithm is proposed to improve ranging precision from plusmn30 m to plusmn3 m in a certain risk probability.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233214","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}
{"title":"Self-tuning control based on RBF neural network observer in suppression of imbalance vibration of magnetically suspended flywheels","authors":"Liu Bin, F. Jiancheng, L. Gang","doi":"10.1109/ISSCAA.2008.4776401","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776401","url":null,"abstract":"High resolution earth observation requires high precision attitude control of satellites, because the chatter of satellites can decay the resolution of the earth observation. Magnetically suspended flywheels (MSFW) with the advantages of no contact, no frication, high precision and long life, are the ideal actuators of high precision attitude control of satellites. But there still are several disturbing forces and torques in MSFW which affect the attitude control precision. Aimed at the main disturbing sources, the rotor imbalance, a rotor dynamic model is built and the error of traditional method in suppression of imbalance vibration is analyzed. A RBF neural network observer is taken to identify the rotor imbalance, and a self-tuning control based on the observer is presented to eliminate the imbalance vibration. Simulation results demonstrate that the RBF neural network observer can observe the rotor imbalance and the self-tuning control can eliminate the imbalance vibration significantly.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115426271","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}
{"title":"Nonlinear control of vaporized cooling level","authors":"Wei Huang, Qiang He, Qiaoli Huang, Qian Qi, Yixin Zhao, Wei Li","doi":"10.1109/ISSCAA.2008.4776279","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776279","url":null,"abstract":"In the converter steelmaking vaporized cooling process, the serious ldquofalse water levelrdquo phenomenon appears at the drum water level of waste heat recovery boiler as the gas is burnt completely. According to the energy conversation law, a steam flow feed-forward compensator is designed as the open-loop controller to improve the previous control system. It is used to overcome the great nonlinearity of drum water level. Comparing the simulation results of three element control system and open-loop feed-forward compensation control system, it shows that the drum ldquofalse water levelrdquo phenomenon can be restrained by the new control system. The safety problem caused by low water level is improved by this design. It ensures the process stability. This design was successfully applied at Hangzhou steel Ltd.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115535374","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}
{"title":"Multimodal recognition fusing ear and profile face based on KPCA","authors":"Xu Xiaona, Zhao Yue, Pan Xiuqin","doi":"10.1109/ISSCAA.2008.4776247","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776247","url":null,"abstract":"Ear recognition has been proved to be a promising subject in biometrics authentication. The fusion of ear and face biometrics could fully utilize their connection relationship, and possess the merit of recognizing persons without their cooperation because of earpsilas special physiological structure and location. In this paper a feature fusion method based on KPCA is proposed and applied to multimodal recognition fusing ear and profile face. With the method, the associated feature vectors of ear and profile face are established for the following classification. The experimental results show that the method is efficient for feature fusion, and the multimodal recognition based on ear and profile face performs better than ear or profile face unimodal biometric recognition.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123917489","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}
{"title":"Aeroengine performance monitoring and fault diagnosis based on transient measurements","authors":"Peng Zhang, Jin-Quan Huang","doi":"10.1109/ISSCAA.2008.4776405","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776405","url":null,"abstract":"Aeroengine components performances deteriorate due to wearing, foreign object ingestion damage or other factors. The engine monitoring and fault diagnostics systems are developed to trace the components health condition and to help make the maintenance decision in order to avoid severe damages. Based on transient gas path measurements, the engine monitoring and diagnostics are carried out through the components health parameters estimation. A novel reduced sigma point square root unscented Kalman filter (SR-UKF) was proposed by combining the SR-UKF with a simplex spherical sigma point selection strategy, which guarantees high accuracy and decreases the computational cost greatly. Some typical gradual deteriorations and abrupt component faults diagnosis are carried out as test cases on a real-time two-spool turbofan engine model. Digital simulation results prove the effectiveness of the proposed method.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116368940","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}
{"title":"Investigation of steering dynamics ship model identification based on PSO-LSSVR","authors":"Sheng Liu, Jianhai Song, Bing Li, Gaoyun Li","doi":"10.1109/ISSCAA.2008.4776236","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776236","url":null,"abstract":"According to the high-order nonlinearity and parameter uncertainty of the ship steering dynamics, it is difficult to establish the accurate mathematical model by using normal identification methods. To solve this problem, a new kind of least squares support vector regression based on the particle swarm optimization (PSO-LSSVR) is proposed. This method can select the parameters of LSSVR automatically without trial and error, thus ensure the accuracy of parameters optimization. Apply this method to the model identification of the ship steering dynamics, and compare the identification effect with the experimental reference data. The PSO-LSSVR is able to establish the system model effectively, the structure is simple and generalization ability is well.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121963630","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}
{"title":"Multivariable frequency-domain identification of a flexible structure with piezoelectric actuators","authors":"Yong Wang, Wang-fan Li, Guangqin Chen","doi":"10.1109/ISSCAA.2008.4776141","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776141","url":null,"abstract":"In this article, the authors propose a new multivariable method of identifying the flexible structure with piezoelectric actuators based on maximum likelihood algorithm in frequency domain. The algorithm has been successfully applied on a particular H-type flexible structure with four inputs and four outputs on a restricted frequency range.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122253741","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}
{"title":"Face features detection and representation by morphological reconstruction and linking","authors":"F. Yi, X. Feng, Zhenshen Qu","doi":"10.1109/ISSCAA.2008.4776184","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776184","url":null,"abstract":"In this paper, we try to address the low level image features detection and representation problem under various illuminations and in various backgrounds. We use multiple thresholds iteratively get a proper threshold value. The results of detection may have disconnected lines, or edges, or boundaries. We use morphological reconstruction and edge linking algorithm to rebuild the edge and connect the disconnected boundaries. Also, we use a set of straight line to approximate the contours or boundaries of the face features, which can simplify the representation of these features. Experiments on human face images show that the results are good.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010162","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}
{"title":"A novel nonlinear filter for initial alignment in strapdown inertial navigation system","authors":"Xiang Li, L. Yu, Sun Baoku, Jiang Xiaoxiong","doi":"10.1109/ISSCAA.2008.4776313","DOIUrl":"https://doi.org/10.1109/ISSCAA.2008.4776313","url":null,"abstract":"The error model is nonlinear when the azimuth angle of strapdown inertial navigation system (SINS) on stable base is large, and a new filter results from using unscented Kalman filter for proposal distribution generation imbedding latest observed measurements in importance sampling step, and combining Gaussian mixture model and weighted expectation maximization (EM) algorithm to replace the traditional resampling step. And the \"sample depletion\" problem was lessened. It is demonstrated by simulation that this new approach has an improved estimation performance in initial alignment of large azimuth misalignment on static base of SINS.","PeriodicalId":188024,"journal":{"name":"2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124618879","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}