{"title":"Electro-Hydraulic Proportional Position Control Using Auto Disturbance Rejection Based on RBF Neural Network","authors":"Xiwei Peng, Haiyang Yu, Xiangjie Zhu, Yiran Li","doi":"10.15918/J.JBIT1004-0579.20098","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20098","url":null,"abstract":"Large friction force and large dead zone are two typical nonlinear characteristics of electro-hydraulic proportional valve controlled hydraulic cylinder position control system. Aiming at those characteristics, a dead zone dynamic compensation algorithm is researched in order to reduce the lag time and control error. At the same time, a control strategy of radial basis function (RBF) neural network combined with auto disturbance rejection control (ADRC) is researched according to the impact of different conditions. The experimental result shows that the proposed algorithm improves performance of the electro-hydraulic proportional valve controlled hydraulic cylinder position control system. In positioning control experiment, the overshoot is 0 and the stability error is 0. In tracking control experiment, the lag time is reduced from the original 1.5 s to 0.2 s with no flat top phenomenon and the maximum error was reduced from 20 mm to 3 mm.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"121-128"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48705919","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}
Fu Shenghua, W. Lou, Jingkui Wang, Ji Tong'an, Weitong Liu
{"title":"Multi-barycenter Nodes Localization Method in Wireless Sensor Network Based on Improved RSSI","authors":"Fu Shenghua, W. Lou, Jingkui Wang, Ji Tong'an, Weitong Liu","doi":"10.15918/J.JBIT1004-0579.20054","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20054","url":null,"abstract":"In order to improve the accuracy of nodes in wireless sensor networks (WSNs). An multi-barycenter localization algorithm based on improved received signal strength indication (RSSI) ranging is proposed. The algorithm first optimizes the RSSI values by the iterative filtering, the distance values of WSNs nodes could be more accurately calculated. And then a multi-barycenter algorithm is introduced to optimize the trilateral localization. The simulation results show that the algorithm can improve the positioning accuracy by 30% compared with the traditional trilateral localization algorithm. Finally, through the localization test of 5 WSN nodes, the measured localization deviation of the WSN nodes is controlled at about 2 m when the distance of sensor node is 80 m. The proposed method could improve localization accuracy effectively without increasing computing resources.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"210-217"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46691328","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}
Zhen Ye, Shihao Shi, Zhanguoi Cao, Lin Bai, Cuiling Li, Tao Sun, Yongqiang Xi
{"title":"Graph-Based Dimensionality Reduction for Hyperspectral Imagery: A Review","authors":"Zhen Ye, Shihao Shi, Zhanguoi Cao, Lin Bai, Cuiling Li, Tao Sun, Yongqiang Xi","doi":"10.15918/J.JBIT1004-0579.2021.012","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.2021.012","url":null,"abstract":"Hyperspectral image (HSI) contains a wealth of spectral information, which makes fine classification of ground objects possible. In the meanwhile, overly redundant information in HSI brings many challenges. Specifically, the lack of training samples and the high computational cost are the inevitable obstacles in the design of classifier. In order to solve these problems, dimensionality reduction is usually adopted. Recently, graph-based dimensionality reduction has become a hot topic. In this paper, the graph-based methods for HSI dimensionality reduction are summarized from the following aspects. 1) The traditional graph-based methods employ Euclidean distance to explore the local information of samples in spectral feature space. 2) The dimensionality-reduction methods based on sparse or collaborative representation regard the sparse or collaborative coefficients as graph weights to effectively reduce reconstruction errors and represent most important information of HSI in the dictionary. 3) Improved methods based on sparse or collaborative graph have made great progress by considering global low-rank information, local intra-class information and spatial information. In order to compare typical techniques, three real HSI datasets were used to carry out relevant experiments, and then the experimental results were analysed and discussed. Finally, the future development of this research field is prospected.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"91-112"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45732817","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 Reusable Launch Vehicle Landing Guidance Control with Multiple Sliding Surface Technique","authors":"Xin Teng, D. Lin, Long Xiao, Fengdi Zhang","doi":"10.15918/J.JBIT1004-0579.20004","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20004","url":null,"abstract":"This paper proposes an autonomous approach and landing guidance law for a reusable launch vehicle (RLV) at the specified runway touchdown. With the full nonlinear point-mass dynamics, the multiple sliding surfaces guidance (MSSG) technique is developed for the closed-loop guidance law to guarantee a successful approach and landing (A&L) movement, which has the same advantage in the finite time convergent property as higher order sliding mode control. Its global stability is proved using Lyapunov theory. The resultant guidance law has features in on-line trajectories calculation without any off-line analysis only using the boundary conditions of the A&L phase and instantaneous states of the RLV. Therefore, it is capable of targeting different touchdown points on the runway and overcoming large initial condition errors. Simulations are provided to verify the effectiveness of the proposed law.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"151-158"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47240486","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}
Dai Xiaolin, Sun Xuhong, He Jiacheng, Anxu Li, Dawei Gong
{"title":"Improved Grid-Based Rao-Blackwellized Particle Filter SLAM Based on Grey Wolf Optimizer","authors":"Dai Xiaolin, Sun Xuhong, He Jiacheng, Anxu Li, Dawei Gong","doi":"10.15918/J.JBIT1004-0579.20094","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20094","url":null,"abstract":"In this work, a Rao-Blackwellized particle filter simultaneous localization and mapping based on grey wolf optimizer (called GWO-RBPF) is proposed. The proposed method aims to improve the accuracy of the mapping while maintaining the number of particles. GWO-RBPF utilizes the local exploration and global development ability of the grey wolf optimizer to improve the estimation performance of the Rao-Blackwellized particle filter, so that the low-weight particles can approach high-weight particles. Meanwhile, the pose information of the particles is optimized by the grey wolf optimizer. The proposed method is applied to the benchmark datasets and real-world datasets. The experimental results show that our method outperforms conventional method in terms of map accuracy versus the number of particles.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"23-34"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49188222","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":"Anti-Interference Design Based on Prime Interleaving for a Combined FH and DS Spreading Spectrum System","authors":"Jihua Lu, Yuhang Yin, Tiankai He, Dapeng Fu, Peng Yin, Xuanhao Ni","doi":"10.15918/J.JBIT1004-0579.20103","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20103","url":null,"abstract":"A combined prime interleaving design is proposed for a spreading spectrum system with frequency hopping (FH), direct sequence (DS), and coherent detection. Obtaining a lower bit error rate (BER) is the object of classical anti-jamming communication systems. By employing combined prime interleaving, we get lower BER results compared with conventional block interleaving under the same signal-to-noise ratio (SNR) level by merit of superior storage and interleaving effects. Prime interleaving requires only one row to interleave while both block and random interleaving require the whole interleaving matrix, which results in lower latency time. Simulations reveal that the proposed combined interleaving design has comparative performance with random interleaving, and has advantages in transmission reliability and system delay. Moreover, the prime interleaving outputs slightly worse BER compared with random interleaving over the same SNR. Compared with random interleaving, the proposed combined interleaving has 0.25 dB worse SNR over the same average BER.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"18-22"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42093643","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":"Conjugate Meshing Analysis of Nutation Drive with Face Gears","authors":"Guangxin Wang, Lili Zhu, Y. Jiaqi, Shen Yuting","doi":"10.15918/J.JBIT1004-0579.20102","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20102","url":null,"abstract":"A calculation formula of boundary size is proposed to analyze the conjugate meshing of nutation face gear transmission by using the condition of no tip change and root undercutting. Furthermore, the influence of tooth shape design parameters on the boundary dimension of nutation face gears is studied. Based on the meshing principle of spacial gears, the conjugate conditions of the “face-face” gear pair are derived, the calculation method of discrete points of tooth surface is given, and the three-dimensional model of the nutation face gear transmission device is also established, which helps the design and manufacturing of high-quality nutation face gear transmissions and improves its transmission performance.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"64-74"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48116292","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}
Xuefang Yang, Ming Zhang, Cheng Rong, Yu Zhu, Leijie Wang
{"title":"Wafer Stage Modal Model Identification by Modified Vector Fitting Method","authors":"Xuefang Yang, Ming Zhang, Cheng Rong, Yu Zhu, Leijie Wang","doi":"10.15918/J.JBIT1004-0579.20052","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20052","url":null,"abstract":"Vector fitting is modified in this study for the parametric identification of a model with an undamped rigid body mode in the frequency domain. The modal model of a six-degree-of-freedom (6DOF) wafer stage is identified using the modified vector fitting method. The modal model is typically fitted from the matrix fraction description (MFD) form of the transfer function, which increases the cost function. The vector fitting in frequency domain provides an approach to fitting the modal model directly from frequency response functions(FRFs) via a partial rational basis function, the poles of which can be obtained by pole relocation technology. The traditional vector fitting method is not applicable in identifying systems containing rigid body modes. The method is reformulated here and effectively applied for wafer stage identification. The accuracy of the fitted model is validated by control loop simulation.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"187-195"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46760287","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 an Optimized Hob to Increase the Bending Strength of Involute Gears by Changing the Root Fillet Profile","authors":"Layue Zhao, M. Du, Yang Yang, Bian Jixuan","doi":"10.15918/J.JBIT1004-0579.20110","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20110","url":null,"abstract":"An optimized hob to increase the bending strength of involute gears by changing the root fillet profile is presented in this paper. The maximum bending stress which determines the service life of a gear in many applications depends on stress concentration caused by the gear root fillet. Better control of the root fillet can result in gears with higher bending strength. The optimised hob tool is a modification based on the standard hob tool, with constant normal base pitch, but a different pressure angle and module, which will generate a different gear root fillet area. The comparison analysis demonstrates that the gear generated by the optimised hob has higher bending strength than that generated by the common standard hob. For analysis and validation of results, three methods of predicting bending stress - ISO standard, three-dimensional tooth contact analysis (3D-TCA) method, and finite element analysis (FEA) are applied and discussed.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"82-91"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43252678","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}
L. Hao, Chunxiao Hao, Liang Ji, Hang Yin, Weiqiang Zhang, Xiaohu Wang, Liu Jin
{"title":"Statistical Modeling of Exhaust Emissions from Gasoline Passenger Cars","authors":"L. Hao, Chunxiao Hao, Liang Ji, Hang Yin, Weiqiang Zhang, Xiaohu Wang, Liu Jin","doi":"10.15918/J.JBIT1004-0579.20101","DOIUrl":"https://doi.org/10.15918/J.JBIT1004-0579.20101","url":null,"abstract":"In this study, an instantaneous vehicle emission model was developed and validated. A group of emission regression functions with vehicle speed and VSP as variables was established using the multiple linear regression method and embedded in the instantaneous emission model to predict vehicle emissions. The inputs of the instantaneous vehicle emission model consist of the driving cycle, vehicle parameters and accessories use, all of which are used to calculate the instantaneous vehicle specific power (VSP). The simulated results of the emission model are second-by-second emission rates, emission factors and fuel consumption over the target driving cycle. The predicted emissions as well as fuel consumption of four passenger cars were very close to the tested emission data, and the prediction errors of emission factors and fuel consumptions were acceptable.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"30 1","pages":"52-63"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46739147","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}