Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)最新文献

{"title":"The Anti-synchronization and Circuit Simulation of Hyperchaotic Systems with Uncertain Parameters","authors":"Shu-hua Wu, Zhen-yong Liu, Z. Ma, Wei Meng","doi":"10.2991/MASTA-19.2019.23","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.23","url":null,"abstract":"Abstract. In this paper, the hyperchaotic system in the same structure with unknown parameters are anti-synchronized using the active control technique. The designed controller ensures the full anti-synchronization between the drive and the response systems in state variables and the update rule of the unknown parameters ensures the identification of parameters. In addition, the drive and the response system as well as the identification circuit for unknown parameters are established and a series of circuit simulations are completed. The highly consistency between the numerical simulation and the circuit simulation has proved the validity of the scheme.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124723907","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 the Relationship between the Spatial Resolution and the Map Scale in the Satellite Remote Sensing Cartographies","authors":"Li Li, Yue Qiang, Zhou Zheng, Jin-yu Zhang","doi":"10.2991/MASTA-19.2019.33","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.33","url":null,"abstract":"It is a key technology to select the optimal spatial resolution of the remote sensing imagery to achieve the accuracy of map scale in the process of drawing satellite remote sensing maps. In this paper, through investigating the relationship between pixel size, the minimum unit on the map, the image accuracy and the spatial resolution of images, the mathematical model of the optimal collocation relationship between the high space resolution and map scale has been put forward. And the feasibility of the model has been verified by a range of experiments. Introduction In the presence, the technology of getting remote sensing images is more and more mature, and the spatial resolution of image has been higher than before. The current spatial resolution of images by commercial satellites is up to 0.41m (WorldView-2), while the spatial resolution of images by spy satellites even reaches 0.1m (Key hole -12). For the spatial resolution of images by satellites, the hierarchical system has been formed, which can meet the requirements of cartography with different scales. The lower the spatial resolution of satellite images is, more macro is the reflected space contents, and the smaller the corresponding map scale is. In contrast, the higher the spatial resolution of satellite images is, more meticulous the reflected pace contents are, and larger the corresponding map scale is. Yang Qinghua [1] and other researchers have studied the influence of satellite data sources with different spatial resolution on map scale. And Gong Mingjie [2] and other researchers have discussed the relationship between the spatial resolution of images and the map scale. Although they all study the relationship between the spatial resolution of remote sensing images and the map scale, they all chose satellite images with medium or small scale and lower spatial resolution, which are no more suitable for the large scale map with high spatial resolution images. Through studying the relationships among the pixel size, the minimum unit on the map, the accuracy of images and the spatial resolution of images, the paper put forwards the mathematical model about the optimal collocation relationship between the high spatial resolution of images and the map scale, and verifies the feasibility of the model by a range of experiments.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130516682","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":"Design and Realization of USV Experiment Platform","authors":"Jinghua Wang, Xiong-shan Bi, T. Zhang, Weixiang Guan","doi":"10.2991/MASTA-19.2019.34","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.34","url":null,"abstract":"An unmanned surface vessel (USV) platform that could realize the ship course-keeping [1] experiment is proposed in this paper. Integrated the high-precision Global Positioning System (GPS) into the USV platform, the high accuracy position and USV dynamics data could be obtained. Then a steering controller for course-keeping control based on the Proportional-Derivative (PD) [2] control strategy is tried to control the USV platform on the given course. Finally, the course-keeping experiment results illustrate that the proposed USV could be utilized as a platform for USV intelligent collision avoidance and other advanced USV controller experiments. Introduction In recent years, the research of Unmanned Surface Vessel (USV) [3] has attracted a lot of scholars attention, because it contains a huge amount of potential in various practical engineering applications. The USV is a complicated system, and it is divided into hardware module and software module. In terms of hardware module, what is most important is how to obtain the attitude and position data from the sensors that installed on the vessel. This paper uses the high precision Global Positioning System (GPS) module as the attitude sensor to get USV real-time attitude data, and then storage the data into the database that established by SQL Server. On the other hand, if the computer deployed on the shore has connected to the internet, anyone who has the account and password could access the USV attitude data at any place where there is a network. While the vessel is being tested on the sea, it is very convenient for us to monitor the vessel, and collect the navigation data at the same time. The course-keeping is the fundamental function of USV and it can be used in various field of the USV motion control engineering. Especially in the constrained water areas, the more precise ship course-keeping performance is, the more safety the USV can embrace. In this study, steering controller [4] based on proportional-derivative (PD) strategy was adopted as a tool to control the smart USV on the given course. The smart USV is equipped with a very high precision GPS receiver and wireless radio communication system to identify its positions. The Introduction of the USV Experiment Platform The platform includes two parts, hardware module and software module. The overview of the USV is shown in Fig. 1. Figure 1. The overview of the USV International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 168","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134318778","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":"Learning Behavior Big Data Tells Us Which Students Can Get a MOOC Course Certificate in Chinese University MOOC","authors":"Yong Luo, Zhihao Xiao, Jianping Li, Zheng Xie, Xiao Xiao","doi":"10.2991/MASTA-19.2019.26","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.26","url":null,"abstract":"MOOC (Massive open online courses) is developing rapidly, but the pass rate of the course is very low. It is significant to study the characteristics of learners who have obtained certificates. This article analyzes the video and completion behavior of various learners. The results show that the learner who obtained the certificate did not watch enough videos, but often completed a lot of exercises. It means they have acquired knowledge from other sources. MOOC is only a means of consolidating knowledge. The results of this study can help us find the right application model for MOOC. At the same time, MOOC operators are also reminded to improve the MOOC model for more learners to accept.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491028","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":"Luminescence Property of Eu3+-doped CaZrSi2O7 Phosphors for White LEDs","authors":"Z. Chen, G. D. Xu, X. L. He, M. Wang, C. He, J. Zou, S. Xin","doi":"10.2991/MASTA-19.2019.73","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.73","url":null,"abstract":"Eu3+-doped CaZrSi2O7 phosphors with promising luminescent properties have been successfully prepared through microwave heating. The crystallinity and luminescent performance were characterized by powder X-ray diffraction pattern, photoluminescence spectra, respectively. The results show that the obtained Eu3+-doped CaZrSi2O7 phosphors have good crystallinity, and strong emission under near-ultraviolet ( NUV) light excitation, which emits red colors peaking at 615 nm, corresponding to the 5D0→7F2 electric-dipole transition of Eu3+ which shows the rare earth Eu3+ ions are located in noncentrosymmetric sites. The red emission of Eu3+-doped CaZrSi2O7 phosphors is excellently consistent with CIE chromaticity standards. It is suggested that the as-prepared Eu3+-doped CaZrSi2O7 samples have high potential for phosphor-converted white LEDs application. Introduction In recent years ,white light emitting diodes (W-LEDs) which are regarded as a new solid state light soures have been widely used in many fields such as displays and lighting because of its many merits of high compact size, low energy consumption, higher luminous efficiency, environmental friendliness and longer lifetime[1,2]. Although the efficiency of commercially white LEDs which were usually prepared through combining blue LED chip with yellow Y3Al5O12:Ce3+ phosphors is high, the color rending index is relatively low due to a lack of sufficient red component[3]. To overcome these problems, phosphor-converted white LEDs have been paid special attention to as it provides high CRI. The availabile commercially phosphors for near UV excited LEDs are mostly red Y2O2S:Eu3+, green ZnS:Cu+,Al3+ and blue BaMgAl10O7:Eu2+. However, Y2O2S:Eu3+ and ZnS:Cu+,Al3+ phosphors were instability (releasing of sulfide gas) under UV irradiation and result in low quantum efficiency. In the case, recently a lot of researchers have made extensive efforts to search for new phosphor for white LEDs aplication and through effectively combining red, green and blue emitting phosphors togather to enhance color rending index [4-6]. Nowadays,silicates have attracted much attention to be applied to luminescent materials due to its advantages of outstanding chemical stability and optical performance[7,8]. Moreover, rare earth ion doped silicates phosphors have been widely investigated due to its excellent application in white light emitting diodes [9-11]. Furthmore, a lot of advantages have been found through microwave-induced method to prepared solid oxide materials compared to the conventional synthesis mehtod in terms of its heating mode [12-13 ], which microwave can heat the material at the molecular level, so that the heating is uniform. In addition, in the preparing process by microwave-induced method, the reaction time is not long and it is not needed to apply expensive instrument, which makes the technology attractive. In the work, by using improving microwave heating prepare process, a pure phase Eu3+-doped CaZrSi2O7 (","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125069760","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":"Study on the Measuring Harmonics Based on Capacitor Voltage Transformer","authors":"Zhengyou Ma, Huidong Guo, Qian-sen Yu","doi":"10.2991/MASTA-19.2019.10","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.10","url":null,"abstract":"In high voltage grade power networks, people usually use capacitive voltage transformers (CVT) to measure the harmonic voltage, but the results exist errors. This paper studied the basic structure of CVT, established the equivalent circuit model of CVT, and proposed a method to calculate the harmonic voltage of the grid side by sampling the grounding current signal of CVT. On the basis of that, the paper confirmed the correctness and feasibility of the method through model simulation. Introduction As the traditional impact load continues to develop, for example, power electronics technology has been widely and 110kV, 220kV grid-connected electric furnace steelmaking. The problems of power quality it caused, has obviously affected power system operation and the safety of the user's facilities [1,2]. Among all kinds of power quality problems, the harmonic, which has a wide range of effects, is a main indicator that needs to be monitored in power quality. The harmonic voltage, which is measured by the voltage transformer, is the basic parameter of measurement and analysis in the study of harmonic problems. Among kinds of voltage transformer, “CVT” which is the common short form for “capacitor voltage transformer”, is mainly used in 110kV, 220kV and higher voltage grade grids [3]. Harmonic measurement results are basically derived from CVT in grids, which is applied CVT, with voltage levels of 110kV and above. But the transmission of harmonics by CVT has actually undergone a nonlinear change, in other words, the secondary side harmonic voltage measured by CVT can't reflect the true harmonic characteristics on the high voltage side. It is also clearly stated in GB/T14549-1993 that CVT can’t be used to measure harmonic voltage of power system [4]. If we can design a reasonable and effective measurement scheme, which is use the existing CVT to measure the percentage of harmonic voltage and obtain the true harmonic content in the high-voltage power grid. We will get more and more valuable references helping us solve the problem of monitoring power quality and governing harmonic in electric power system. This paper proposes a research method for harmonic measurement of CVT, based on an in-depth study of the basic structure of CVT. The research provides strong support for the management decision of power grid operation and maintenance department, improving the safety and economy of grid operation. Basic Structure and Equivalent Circuit Model of CVT Basic Structure of CVT The basic structure of the CVT is shown in Figure 1. It consists of a capacitor divider unit and an electromagnetic unit [5]. The capacitor divider unit consists of a high voltage capacitor and a low voltage capacitor. And the electromagnetic unit is composed of a compensating reactor and an intermediate transformer. The grid-side voltage is firstly reduced to medium voltage by the capacitive voltage divider, and then to low voltage signal for measurement, control and relay protection [6].","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"155 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115576169","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":"Gaussian Naive Bayesian Data Classification Model Based on Clustering Algorithm","authors":"Zeng-jun Bi, Yao-quan Han, Cai-quan Huang, Min Wang","doi":"10.2991/masta-19.2019.67","DOIUrl":"https://doi.org/10.2991/masta-19.2019.67","url":null,"abstract":"A gaussian naive bayesian data classification model based on clustering algorithm was proposed for fast recognition and classification of unknown continuous data containing a large number of non-priori knowledge. Firstly, the unknown data were extracted from the representative samples according to the information entropy measure for clustering to generate class labels. Then, the mapping relationship between data and class labels was established by using the gaussian naive bayes algorithm, and the classification model was obtained through training. Simulation results show that this unsupervised analysis process has a good classification effect on new data. Introduction Classification is an important part of data mining. By learning training data, the mapping relationship between training data and predefined classes can be established[1]. In order to make the traditional classification algorithm classify data well without predetermined classification for learning semi-supervised or even unsupervised methods are used to improve the classification algorithm[2]. Literature [3] uses semi-supervised naive bayes classification algorithm to establish initial classification for a small number of data sets with class labels, and continuously updates the data with high classification accuracy to the training set when predicting and classifying the data without labels, so as to realize semi-supervised learning of data classification. However, this algorithm fails to fundamentally realize the unsupervised generation of class labels of data to be classified, and prior knowledge still plays a crucial role in the training of classification algorithm. Clustering is an unsupervised process in which the most similar objects are divided into a class based on the objects found in the data and their relationships[4,5]; Literature [6] applies unsupervised clustering to text clustering and constructs an automatic text classification model based on vector space model. However, the model is not suitable for the classification of continuous variables. Therefore, this paper combines the clustering algorithm with the gaussian naive bayes classification algorithm, and proposes an unsupervised classification model suitable for continuous variable data. In this method, small representative samples are extracted from large samples by information entropy theory, and prediction classes of observation data are generated by clustering algorithm as predefined target classes of classification algorithm, so that data are classified and prediction models are established without prior knowledge. Simulation results show that this model is efficient in classifying and processing new data, and only a small part of sample extraction is needed to train the classification model of the whole data, which greatly saves computing resources and time. Selection of Clustering Algorithm Classical clustering algorithm can be divided into hierarchical clustering algorithm, divide-based clustering algorit","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128466938","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":"Numerical Simulation Research on Pressure Probe","authors":"Yi Zhang, Yu-bin Men","doi":"10.2991/MASTA-19.2019.52","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.52","url":null,"abstract":". This article presents an investigation on the flow characteristics of the air in complex probe. The flow fields around the complex probe in different Mach numbers is simulated to analysis the relation between flow field structure and text parameters. The investigation on complex probe shows that the Mach numbers has influence on the characteristic of complex probe. The flow field around the probe and shock wave distribution transform with the change of Mach number. The calibrate coefficient has disparate transformation law in subsonic speed flow field, near-sonic speed flow field and supersonic speed flow field.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127146191","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 Automatic Generation Algorithm for the Supporting Structure in FDM Process","authors":"Baoxiang Zhao, Su Wang, Fu-dong Xie","doi":"10.2991/masta-19.2019.59","DOIUrl":"https://doi.org/10.2991/masta-19.2019.59","url":null,"abstract":"According to the forming characteristics of FDM process in the Additive manufacturing, an algorithm for automatic generation of thin plate structure support based on the slice projection method is proposed. For the closed surface model (such as STL model, NURBS model), the algorithm uses slice projection method to automatically generate a series of crossed and parallel and spaced thin plates to provide external support. The algorithm reduces the computation problem from three-dimensional support area to the calculation of two dimensional support areas. The algorithm is stable and reliable, and the supporting structure has smaller volume and better stability. The supporting structure and part structure are independent to each other. Different path planning methods can be used for FDM path planning, and different materials can be used for the supporting structure and part structure. It is easy to dismantle the supporting structure in the postprocessing and greatly improves the flexibility of FDM process. Introduction The design of the supporting structure is one of the key technologies in FDM (Fused Deposition Modeling) process in the Additive manufacturing. When the parts have a suspended structure, it is necessary to have a supporting structure to support the suspended structure, otherwise collapse deformation will occur, which will leading to the failure of forming. The rationality of supporting structure has a great influence on the accuracy and efficiency of FDM parts, especially for large-scale building structures. At present, the most common supporting structures including complete supporting structure and incomplete supporting structure. For example, the unsintered material in the SLS process forms a complete supporting structure. In the FDM process, taking into account the removability of supporting structure, incomplete supporting structure is usually used. Incomplete supporting structures usually are tree-shaped, wall-shaped, gallows-shaped, etc. The wall-shaped and gallows-shaped supporting structures have good stability, but more consumables. Tree-shaped structure are few consumables, but poor stability[1-2]. The construction algorithms for supporting structure can be divided into two categories, one is based on the 3D model of closed surface structure, such as STL model and NURBS model, according to its geometric characteristics (such as the direction of the outer normal vector), the supporting areas are calculated and the complete or incomplete supporting structures are constructed[2-6]. The other is based on the two-dimensional slice contour model, boolean operation is used to calculate the supporting area of each layer and to construct a complete supporting structure [7-9]. In this paper, an automatic generation algorithm using thin plate supporting structure based on the slice projection method is proposed for the closed surface model (such as STL model, NURBS model). In the supporting direction of the solid model, the slice proje","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126227041","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":"Adaptive PID Control of Coal Feeder Based on Single Neuron","authors":"Xutun Wang, Xing-cheng Wang, Kai-wei Liu","doi":"10.2991/masta-19.2019.58","DOIUrl":"https://doi.org/10.2991/masta-19.2019.58","url":null,"abstract":". The coal feeder system is a part of coal conveying system of thermal power plant, which is mainly used for supplying coal to the boiler. During the operation of the coal feeder control system, the coal feeding rate is controlled according to the set value and the feedback information from the system, which makes the amount of coal sent to the boiler match the amount of coal needed, so as to achieve ideal economic benefits. In order to control the coal feeding quantity more accurately, for the time variability, hysteretic and other features of coal feeder, the coal feeder system model is built, and a single neuron adaptive PID method is proposed innovatively. The simulation results indicate that, compared with the conventional PID control, the method presented in this paper has small steady-state error, quick dynamic response and low overshoot.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128103065","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}