Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690356
L. Li, Ge Chen
A self-adaptive Sigma-Delta modulator, which offers opportunity to simplify the process of tuning parameters and further improve the noise performance, is presented in this paper. Traditional Sigma-Delta modulator mainly focused on using a 2nd order sensing element to improve the SNR, whereas this paper presents a 5th order Sigma-Delta modulator to obtain higher SNR. Specifically, an additional 3rd order digital loop integrator is inserted between the AFE and the quantizer, which increases overall loop order to produce much higher SNR for Sigma-Delta modulator and the parameters of the 3rd order digital loop integrator are optimized by swarm intelligent algorithm. Simulation results with respect to the proposed 5th order Sigma-Delta modulator, SNR >122 dB and the noise floor under -170dB are obtained in frequency range of [5-150Hz]. In further simulation, the robustness of the proposed 5th order Sigma-Delta modulator is analyzed.
{"title":"Designing and Optimizing of Sigma-Delta Modulator Using PSO Algorithm","authors":"L. Li, Ge Chen","doi":"10.1109/IICSPI.2018.8690356","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690356","url":null,"abstract":"A self-adaptive Sigma-Delta modulator, which offers opportunity to simplify the process of tuning parameters and further improve the noise performance, is presented in this paper. Traditional Sigma-Delta modulator mainly focused on using a 2nd order sensing element to improve the SNR, whereas this paper presents a 5th order Sigma-Delta modulator to obtain higher SNR. Specifically, an additional 3rd order digital loop integrator is inserted between the AFE and the quantizer, which increases overall loop order to produce much higher SNR for Sigma-Delta modulator and the parameters of the 3rd order digital loop integrator are optimized by swarm intelligent algorithm. Simulation results with respect to the proposed 5th order Sigma-Delta modulator, SNR >122 dB and the noise floor under -170dB are obtained in frequency range of [5-150Hz]. In further simulation, the robustness of the proposed 5th order Sigma-Delta modulator is analyzed.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78183489","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690364
Li Li
This paper proposes a novel method based on wide-band ambiguity function in Wideband bistatic multiple input multiple output (MIMO) Radar System. Firstly, Doppler stretch and time delay are jointly estimated by peak searching the wide-band ambiguity function (WBAF). Secondly, two sub-array models are constructed based on the WBAF. Furthermore, two modified algorithms are proposed for the estimation of DODs and DOAs, including the wide-band ambiguity function based on MUSIC algorithm (WBAF-MUSIC) and the wide-band ambiguity function based on ESPRIT algorithm (WBAF-ESPRIT). Simulation results are presented to verify the effectiveness of the proposed method.
{"title":"Joint Parameters Estimation method based on Wide-Band Ambiguity Function","authors":"Li Li","doi":"10.1109/IICSPI.2018.8690364","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690364","url":null,"abstract":"This paper proposes a novel method based on wide-band ambiguity function in Wideband bistatic multiple input multiple output (MIMO) Radar System. Firstly, Doppler stretch and time delay are jointly estimated by peak searching the wide-band ambiguity function (WBAF). Secondly, two sub-array models are constructed based on the WBAF. Furthermore, two modified algorithms are proposed for the estimation of DODs and DOAs, including the wide-band ambiguity function based on MUSIC algorithm (WBAF-MUSIC) and the wide-band ambiguity function based on ESPRIT algorithm (WBAF-ESPRIT). Simulation results are presented to verify the effectiveness of the proposed method.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76625644","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690472
Jinhai Zhang
With the VPN technology is widely used by enterprises and individuals, in order to guarantee the security of data transmission, VPN traffic has characteristics of encryption and privacy, but due to the increasing intensity of encryption, VPN routing protocol for the audit is more and more difficult, so the security of VPN network security technology has become a restricting factor for VPN protocol identification. In the field of VPN protocol recognition, the identification of encrypted data in VPN protocol is a key. Therefore, a new self correlation randomness detection algorithm is proposed in this paper.
{"title":"Research on Key Technology of VPN Protocol Recognition","authors":"Jinhai Zhang","doi":"10.1109/IICSPI.2018.8690472","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690472","url":null,"abstract":"With the VPN technology is widely used by enterprises and individuals, in order to guarantee the security of data transmission, VPN traffic has characteristics of encryption and privacy, but due to the increasing intensity of encryption, VPN routing protocol for the audit is more and more difficult, so the security of VPN network security technology has become a restricting factor for VPN protocol identification. In the field of VPN protocol recognition, the identification of encrypted data in VPN protocol is a key. Therefore, a new self correlation randomness detection algorithm is proposed in this paper.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75905524","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690418
Chen Benyao, Ruan Licheng, Ye Jian, Bi Jianzhong, Shi Shenke, Zhu Shaojun, Wu Mao-nian
Aiming at the shortcomings of traditional methods, this paper proposes an elevator traffic pattern recognition method based on density peak clustering algorithm. This method uses the cluster analysis of the passenger flow data of the previous week to obtain the cluster center coordinates of the corresponding traffic patterns. For real-time changes in elevator traffic data, using 5-minute passenger flow data, the cluster centers are selected based on the highest density and farthest distance from the higher density points, thereby identifying the current traffic pattern. Experiments show that the method can effectively recognize the elevator traffic pattern, is easy to implement, has fast calculation speed, and has a stable clustering effect, and can meet the real-time requirements of the group control system.
{"title":"Elevator Traffic Pattern Recognition Based on Density Peak Clustering","authors":"Chen Benyao, Ruan Licheng, Ye Jian, Bi Jianzhong, Shi Shenke, Zhu Shaojun, Wu Mao-nian","doi":"10.1109/IICSPI.2018.8690418","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690418","url":null,"abstract":"Aiming at the shortcomings of traditional methods, this paper proposes an elevator traffic pattern recognition method based on density peak clustering algorithm. This method uses the cluster analysis of the passenger flow data of the previous week to obtain the cluster center coordinates of the corresponding traffic patterns. For real-time changes in elevator traffic data, using 5-minute passenger flow data, the cluster centers are selected based on the highest density and farthest distance from the higher density points, thereby identifying the current traffic pattern. Experiments show that the method can effectively recognize the elevator traffic pattern, is easy to implement, has fast calculation speed, and has a stable clustering effect, and can meet the real-time requirements of the group control system.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80158566","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690375
Yi Liu, Chuanchang Liu, Zhiyuan Su
In recent years, with the widespread popularity of mobile Internet, people have become more and more interested in shopping on their mobile phones. Therefore, e-commerce applications are seen to be an important development direction in the future. As for that, the diversity and flexibility of the homepage layout of e-commerce applications is the core to determine an application. The traditional layouts of Android applications have been gradually unable to keep up with the content updating and style changing of the e-commerce applications. Therefore, this paper will focus on the expansion of the control RecyclerView, improving and implementing the function of the V-layout frame. At the same time, it is well adapted to the layouts of complex pages such as the e-commerce homepage, and able to decouple the relationship between all views and layout. It also provides the solution to implement the layouts of complex pages quickly, and solves the complexity and diversity of e-commerce pages.
{"title":"The Diversity Layout of E-commerce Applications Based on Android","authors":"Yi Liu, Chuanchang Liu, Zhiyuan Su","doi":"10.1109/IICSPI.2018.8690375","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690375","url":null,"abstract":"In recent years, with the widespread popularity of mobile Internet, people have become more and more interested in shopping on their mobile phones. Therefore, e-commerce applications are seen to be an important development direction in the future. As for that, the diversity and flexibility of the homepage layout of e-commerce applications is the core to determine an application. The traditional layouts of Android applications have been gradually unable to keep up with the content updating and style changing of the e-commerce applications. Therefore, this paper will focus on the expansion of the control RecyclerView, improving and implementing the function of the V-layout frame. At the same time, it is well adapted to the layouts of complex pages such as the e-commerce homepage, and able to decouple the relationship between all views and layout. It also provides the solution to implement the layouts of complex pages quickly, and solves the complexity and diversity of e-commerce pages.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74484847","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690491
He Hu, Zhu Zhaohui, Wu Xueyi
The main content of this paper is how to diagnose and identify the health status of the vibrating wire monitoring instrument in the operating period. The methods and criteria of basic information evaluation, historical values evaluation and field detection and evaluation are given respectively. In which, the evaluation methods and evaluation criteria of starting of oscillation of vibrating wire are innovatively put forward. The paper presents treatment suggestion and anomaly causation analysis of instrument evaluated as abnormal, and analyzes the reason of modulus deviation between manual data and automated data.
{"title":"Operation status identification and evaluation method of vibrating wire monitoring instrument","authors":"He Hu, Zhu Zhaohui, Wu Xueyi","doi":"10.1109/IICSPI.2018.8690491","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690491","url":null,"abstract":"The main content of this paper is how to diagnose and identify the health status of the vibrating wire monitoring instrument in the operating period. The methods and criteria of basic information evaluation, historical values evaluation and field detection and evaluation are given respectively. In which, the evaluation methods and evaluation criteria of starting of oscillation of vibrating wire are innovatively put forward. The paper presents treatment suggestion and anomaly causation analysis of instrument evaluated as abnormal, and analyzes the reason of modulus deviation between manual data and automated data.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77229731","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690495
Junhui Lai, Guorong Chen
With the rapid development of China’s economy, innovation and interconnection of all things are widely mentioned, and family intelligence has begun to develop. However, due to the high cost, the promotion of family intelligence is limited. Considering the single function of traditional alarm clock and the depressed market, this paper proposes to design a multi-function early morning wake-up system, which can make the alarm clock multi-functional and low-cost. In this way, ordinary families can experience intelligent products, which is conducive to the promotion of family intelligence. The multi-function wake-up system sets the wake-up time through the mobile phone APP, thus triggering the alarm clock of the lower Computer to open and the pressure sensor to collect the pressure value. When the pressure is kept within a certain range for a period of time, the alarm clock can be switched off. At the same time, it can also remotely control the opening and closing of curtains, the opening and closing of lights and so on, which is more convenient for people’s life, but also increases the family “intelligence”. The system is divided into software module and hardware module. The hardware module mainly includes pressure sensor module, stepper motor module and WiFi module, with STM32 development board to control each hardware module; the software module is based on the Android platform development of mobile APP, and users can login through the mobile APP, connect to the server, send instructions to the lower Computer, set the wake-up time, etc. The terminal code is written in C language, compiled on Keil uVision platform, and the mobile terminal is compiled on Eclipse platform in Java language. The system test meets the requirements of the system, which is scientific and feasible.
{"title":"Multi-function Morning Wake-up System","authors":"Junhui Lai, Guorong Chen","doi":"10.1109/IICSPI.2018.8690495","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690495","url":null,"abstract":"With the rapid development of China’s economy, innovation and interconnection of all things are widely mentioned, and family intelligence has begun to develop. However, due to the high cost, the promotion of family intelligence is limited. Considering the single function of traditional alarm clock and the depressed market, this paper proposes to design a multi-function early morning wake-up system, which can make the alarm clock multi-functional and low-cost. In this way, ordinary families can experience intelligent products, which is conducive to the promotion of family intelligence. The multi-function wake-up system sets the wake-up time through the mobile phone APP, thus triggering the alarm clock of the lower Computer to open and the pressure sensor to collect the pressure value. When the pressure is kept within a certain range for a period of time, the alarm clock can be switched off. At the same time, it can also remotely control the opening and closing of curtains, the opening and closing of lights and so on, which is more convenient for people’s life, but also increases the family “intelligence”. The system is divided into software module and hardware module. The hardware module mainly includes pressure sensor module, stepper motor module and WiFi module, with STM32 development board to control each hardware module; the software module is based on the Android platform development of mobile APP, and users can login through the mobile APP, connect to the server, send instructions to the lower Computer, set the wake-up time, etc. The terminal code is written in C language, compiled on Keil uVision platform, and the mobile terminal is compiled on Eclipse platform in Java language. The system test meets the requirements of the system, which is scientific and feasible.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90752573","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690361
Kulyakwave P.D, Shiwei Xu, Wen Yu
This study was conducted to develop econometric models for weather variables for Shinyanga region of Tanzania. The developed models used to predict missing weather variables such as sunshine, maximum, and minimum temperatures from 1981 to 1987. The authors used weather time series data including rainfall, sunshine, maximum, and minimum temperatures from 1981 to 2017 to establish statistical relationship among variables from Mbeya and Shinyanga regions. Various statistical methods used include Ordinary Least Square regression, Augmented Dickey-Fuller test for Unit root test of time series stationarity, Johansen Cointegration test and error correction to establish relationship among variables. We developed three econometric models for missing sunshine, maximum and minimum variables for Shinyanga region. Sunshine model shows that for each unit rainfall (mm) increase in Mbeya region increased the sunshine for Shinyanga by 3.8%, while for each increase in lmm rainfall in Shinyanga region the sunshine decreases by 1%. Maximum temperature model reveals that increase in rainfall in Mbeya by lmm decreases the maximum temperature by 0.5 % while for each increase by lmm rainfall in Shinyanga leads to a decrease of maximum temperature by 0.7%. For the minimum temperature model, 1 mm increase in both Mbeya and Shinyanga rainfall decreases the minimum temperature for Shinyanga by 0.4 % while increase in 1°C minimum temperature for Mbeya region increases Shinyanga minimum temperature by 43%. Accordingly, we estimated the missing variables by the use of the respective constructed models.
本研究的目的是建立坦桑尼亚辛扬加地区天气变量的计量经济模型。开发的模式用于预测1981年至1987年缺少的天气变量，如日照、最高和最低温度。作者利用1981年至2017年的降雨、日照、最高气温和最低气温等天气时间序列数据，建立了Mbeya和Shinyanga地区变量之间的统计关系。使用的统计方法有:普通最小二乘回归、增强型Dickey-Fuller检验时间序列平稳性的单位根检验、Johansen协整检验和误差修正来建立变量之间的关系。我们建立了新阳加地区缺失日照、最大和最小变量的三个计量模型。日照模式表明，Mbeya地区每增加单位降雨量(mm)，新阳加地区的日照增加3.8%，而新阳加地区每增加单位降雨量(mm)，日照减少1%。最高温度模型表明，Mbeya降雨量每增加1mm，最高温度降低0.5%，而Shinyanga降雨量每增加1mm，最高温度降低0.7%。对于最低温度模型，Mbeya和Shinyanga地区的降雨量每增加1 mm, Shinyanga地区的最低温度降低0.4%，而Mbeya地区的最低温度每增加1°C, Shinyanga地区的最低温度升高43%。因此，我们通过使用各自构建的模型来估计缺失变量。
{"title":"Econometric Modelling for Missing Weather Variables Estimation: Shinyanga Region of Tanzania","authors":"Kulyakwave P.D, Shiwei Xu, Wen Yu","doi":"10.1109/IICSPI.2018.8690361","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690361","url":null,"abstract":"This study was conducted to develop econometric models for weather variables for Shinyanga region of Tanzania. The developed models used to predict missing weather variables such as sunshine, maximum, and minimum temperatures from 1981 to 1987. The authors used weather time series data including rainfall, sunshine, maximum, and minimum temperatures from 1981 to 2017 to establish statistical relationship among variables from Mbeya and Shinyanga regions. Various statistical methods used include Ordinary Least Square regression, Augmented Dickey-Fuller test for Unit root test of time series stationarity, Johansen Cointegration test and error correction to establish relationship among variables. We developed three econometric models for missing sunshine, maximum and minimum variables for Shinyanga region. Sunshine model shows that for each unit rainfall (mm) increase in Mbeya region increased the sunshine for Shinyanga by 3.8%, while for each increase in lmm rainfall in Shinyanga region the sunshine decreases by 1%. Maximum temperature model reveals that increase in rainfall in Mbeya by lmm decreases the maximum temperature by 0.5 % while for each increase by lmm rainfall in Shinyanga leads to a decrease of maximum temperature by 0.7%. For the minimum temperature model, 1 mm increase in both Mbeya and Shinyanga rainfall decreases the minimum temperature for Shinyanga by 0.4 % while increase in 1°C minimum temperature for Mbeya region increases Shinyanga minimum temperature by 43%. Accordingly, we estimated the missing variables by the use of the respective constructed models.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85917089","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690416
Liao Jidong, Zhang Ran
Tree boosting is a highly effective and widely used machine learning method. A dynamic weighting multi-factor stock selection strategy based on XGBoost model is constructed. XGboost machine learning method is used to predict the IC coefficients of factors. The results of back testing show that the performance of dynamic weighting strategy is superior to the equal weighting strategy and IC weighting strategy. The empirical results prove that XGBoost model is effective in predicting IC coefficients and the dynamic weighting based on XGBoost model can improve the performance of multi-factor stock selection strategy.
{"title":"Dynamic Weighting Multi Factor Stock Selection Strategy Based on XGboost Machine Learning Algorithm","authors":"Liao Jidong, Zhang Ran","doi":"10.1109/IICSPI.2018.8690416","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690416","url":null,"abstract":"Tree boosting is a highly effective and widely used machine learning method. A dynamic weighting multi-factor stock selection strategy based on XGBoost model is constructed. XGboost machine learning method is used to predict the IC coefficients of factors. The results of back testing show that the performance of dynamic weighting strategy is superior to the equal weighting strategy and IC weighting strategy. The empirical results prove that XGBoost model is effective in predicting IC coefficients and the dynamic weighting based on XGBoost model can improve the performance of multi-factor stock selection strategy.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86301072","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 : 2018-12-01DOI: 10.1109/IICSPI.2018.8690445
Song Luqing, Hu Wenjin, Liu Kaishu, W. Xiaogang, Song Lepeng
Aiming at the characteristics of large lag, strong interference, nonlinearity and difficult pressure control in pressure controlled drilling, this paper designs an automatic control system for pressure controlled drilling without model adaptive control. The automatic control system consists of signal input device, pressure controlled drilling electronic control unit, actuator and other devices. In order to improve the speed and stability of pressure control in pressure drilling, a model-free adaptive control scheme is proposed. The control scheme only needs on-line I/O data of the controlled system to complete the design of the controller, which has strong resistance to nonlinearity and is suitable for more complicated control projects. The system is modeled and simulated in MATLAB. The experimental results show that compared with cascade PID control, the pressure regulating time of the automatic control system of pressure controlled drilling using model-free adaptive control scheme is shorter and the pressure change curve is smoother, which can better meet the control requirements of the automatic control system of pressure controlled drilling.
{"title":"Application of Model -Free Adaptive Control in Managed Pressure Drilling","authors":"Song Luqing, Hu Wenjin, Liu Kaishu, W. Xiaogang, Song Lepeng","doi":"10.1109/IICSPI.2018.8690445","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690445","url":null,"abstract":"Aiming at the characteristics of large lag, strong interference, nonlinearity and difficult pressure control in pressure controlled drilling, this paper designs an automatic control system for pressure controlled drilling without model adaptive control. The automatic control system consists of signal input device, pressure controlled drilling electronic control unit, actuator and other devices. In order to improve the speed and stability of pressure control in pressure drilling, a model-free adaptive control scheme is proposed. The control scheme only needs on-line I/O data of the controlled system to complete the design of the controller, which has strong resistance to nonlinearity and is suitable for more complicated control projects. The system is modeled and simulated in MATLAB. The experimental results show that compared with cascade PID control, the pressure regulating time of the automatic control system of pressure controlled drilling using model-free adaptive control scheme is shorter and the pressure change curve is smoother, which can better meet the control requirements of the automatic control system of pressure controlled drilling.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84486150","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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