{"title":"UAV Formation and Obstacle Avoidance Based on Improved APF","authors":"Yunduo Feng, Yanxuan Wu, Haozhe Cao, Jiankun Sun","doi":"10.1109/ICMIC.2018.8529987","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529987","url":null,"abstract":"This paper put forward a solution for fixed-wing UAV formation control and obstacles avoidance based on an improved artificial potential field method (APF) and leader-follower structure. First, simplified model of fixed-wing UAV with kinematic constraints is introduced. Subsequently an improved APF considering the kinematic constraints and formation configuration is proposed. Then, a formation transformation method based on improved APF is put forward to increase the flexibility and reliability of formation to avoid obstacles in environment, which means the feedback of obstacle information to formation controller. Finally, simulations of UAV formation, tracking the desired trajectory and obstacle avoidance is presented and the results verify the effectiveness of the improved APF method.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124171051","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}
Yunpeng Zhu, Z. Lang, Zhong Luo, S. R. Gunawardena
{"title":"Fault Detection of Nonlinear Rotor-Bearing Systems by Using the Nonlinear Output Frequency Response Functions (NOFRFs)","authors":"Yunpeng Zhu, Z. Lang, Zhong Luo, S. R. Gunawardena","doi":"10.1109/icmic.2018.8529999","DOIUrl":"https://doi.org/10.1109/icmic.2018.8529999","url":null,"abstract":"In this study, the fault detection of nonlinear rotor-bearing systems is investigated by using the frequency analysis approach. The Nonlinear Output Frequency Response Functions (NOFRFs) of the nonlinear rotor-bearing system are evaluated and used to diagnosis the abnormal conditions of the bearings. Both simulation and experimental studies are conducted to demonstrate the application of the NOFRFs based fault detection method. The results indicate that the higher order NOFRFs are sensitive to the faults of the bearings and independent of the imbalance distance of the rotor. The monotonous change of the NOFRFs with the severity of the faults can be used to effectively quantify the severities of defects in the rotor-bearing systems.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"421 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115996514","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":"Synchronization Between a Novel Integer-Order Hyperchaotic System and a Fractional-Order Hyperchaotic System Using Tracking Control","authors":"Ayub Khan, Shikha Singh, A. Azar","doi":"10.1007/978-3-030-14118-9_38","DOIUrl":"https://doi.org/10.1007/978-3-030-14118-9_38","url":null,"abstract":"","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"115-116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116309716","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":"Fault Diagnosis for Transmission System of Large Equipment Using Nonlinear Output Frequency Response Function","authors":"Jialiang Zhang, Jianfu Cao, Jie Wu, Lin Wang","doi":"10.1109/ICMIC.2018.8529964","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529964","url":null,"abstract":"The fault diagnosis of the transmission system of large numerical control equipment is studied based on the nonlinear output frequency response function (NOFRF). A frequency domain variable step size least mean square adaptive algorithm is used to estimate NOFRF and get nonlinear spectral data. After obtaining nonlinear frequency spectrum data, the spectrum features are extracted by kernel principal component analysis(KPCA) method. To consider global characteristics and local characteristics of nonlinear spectrum, a kind of mixed function is used as kernel function of KPCA model. According to different frequency domain scale characteristics, a multi-fault classifier based on support vector machine (SVM) fusion is constructed, and a classification reliability-based fusion method is adopted.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128582174","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":"Research on Consensus Efficiency Based on Practical Byzantine Fault Tolerance","authors":"Li Zhang, Qin-wei Li","doi":"10.1109/ICMIC.2018.8529940","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529940","url":null,"abstract":"Byzantine Fault Tolerance (BFT) will be increasingly important to provide reliability in distributed systems and various Byzantine fault-tolerant algorithms have been proposed to improve efficiency. However, the practicality of BFT is still limited by its cost of consensus. Practical Byzantine Fault Tolerance (PBFT) is one of the best algorithms used in reality. Confronted with a distributed system with numerous nodes, PBFT is not satisfying. In order to improve the consensus efficiency, a new algorithm named Group-Hierarchy (GH) based on PBFT is proposed in this article. GH divides all replicas in a distributed system into several groups and every group has a primary. Replicas in a group reach an agreement respectively, which is called Local Consensus. And primaries of all the groups also reach a consensus based on the Local Consensus, which is called Global Consensus. After the Local Consensus and Global Consensus, replicas could reply to client. GH correlates the message complexity to the number of replicas and the number of groups in a distributed system in theory. The message complexity of GH is lower than PBFT in theory and the performed tests show that GH can execute a request even several times faster than PBFT.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128740711","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":"Comparison of De-Phase Algorithm and DC Offset Cancellation on Pre-Whitening","authors":"Xinghui Zhang, Jianmin Zhao, Rusmir Bajrić","doi":"10.1109/ICMIC.2018.8529851","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529851","url":null,"abstract":"Effective fault signal extracting techniques have a critical part for early fault diagnosis of a rotating machine. Pre-whitening methods are one of the ways to separate deterministic signals from random signals, they are linear prediction, self-adaptive noise cancellation, new cepstral etc. Afterwards, different pre-whitening methods were developed, like de-phase algorithm and DC offset cancellation. The paper presents review of those two methods applied to different types of rotating machines, test rig gearbox bearing fault and wind turbine gearbox bearing fault. Finally, the merits and demerits of these two methods are given.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116754352","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 Methodology of Inter-Harmonic Detection Based on VMD","authors":"Zhouxing Fu, Chuiyang Zeng, Yunge Li","doi":"10.1109/ICMIC.2018.8529924","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529924","url":null,"abstract":"This paper presents a variational mode decomposition (VMD) algorithm and applies it to the detection of inter-harmonics for the first time. The specific process of inter-harmonics detection based on VMD is provided. The power signal to be detected is decomposed into several Intrinsic Mode Function (IMF) components by VMD, then the inter-harmonics frequency and amplitude parameters is obtained by extracting the resulting IMF component through Hilbert-Huang transform (HHT). The simulation results and practical measurements show that VMD is an effective new method for detecting inter-harmonics.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124137160","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":"The Improved Multi-Innovation Parameter Estimation Algorithms for the Sine Signal Modeling with the Single-Frequency","authors":"Ling Xu, F. Ding, Xiao Zhang","doi":"10.1109/ICMIC.2018.8529847","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529847","url":null,"abstract":"The problem of modellig for sine signals with a single-frequency is addressed in this paper. In term of the amplitude, the phase and the frequency of the sine signal and the nonlinear relation between the model output and the characteristic parameters, the parameter estimation methods are presented by means of the discrete measured data. In order to trace the information variation with the time-varying, the shift window data are used to develop a novel algorithm to achieve parameter estimates for the single-frequency sine signal. By using these data, the multi-innovation stochastic gradient method and an improved multi-innovation stochastic gradient method are devised for estimating the signal parameters. At last, an example is given for the purpose of testing and analyzing the performance of our propsed methods","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131307582","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}
Mingyun Chen, Feng Guo, Mengqi Chen, Zheng Shen, Jianshu She
{"title":"Fuzzy Modeling by Data- Extracted Fuzzy Rules of Cement Rotary Kiln Based on WM Method","authors":"Mingyun Chen, Feng Guo, Mengqi Chen, Zheng Shen, Jianshu She","doi":"10.1109/ICMIC.2018.8529944","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529944","url":null,"abstract":"This research applys a fuzzy modeling method based on sampling data to the modeling of cement rotary kiln. By analyzing the sampling data in the actual production process, the mathematical model of the cement rotary kiln calcining system is established using the WM fuzzy modeling algorithm. The modeling method realizes the identification and optimization of the fuzzy rules. The simulation analysis is carried out through the Matlab software. The results show that this method has a high precision. It provides a reference to establish the system's mathematical models.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127074424","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":"Position Control of Continuum Manipulator with Twin-Pivot Compliant Joints","authors":"Xin Liu, Chenguang Yang, Shi‐Lu Dai, Ying Feng","doi":"10.1109/ICMIC.2018.8529956","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529956","url":null,"abstract":"This paper proposes a novel closed-loop PD controller based on kinematic for continuum manipulator with twin-pivot compliant joints. The purpose of the twin-pivot compliant joints is to decrease the twisting angle caused by gravity of manipulator and payload. We build the forward and inverse kinematic to control the end-effector of continuum manipulator with twin-pivot compliant joints. In this paper, first we build forward and inverse kinematic of continuum manipulator with twin-pivot compliant joints. We then build the controller based on kinematic models for a continuum manipulator with 24 Degrees of Freedom (DoF). Finally, simulation studies are carried out to test the proposed approach.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129032761","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}