检索结果-内蒙古大学图书馆

6th International Conference on Electronics and Information Engineering (ICEIE)

作者： Zhao, Yan Wang, Jiang Hua Wang, Qi Yanching Inst Technol Yanjiao 065201 Peoples R China North China Inst Sci & Technol Yanjiao 065201 Peoples R China

ISBN: (纸本)9781510600294

For self-balancing two-wheeled vehicle position and angle control implementation issues, propose a control algorithm of self-balanced two-wheeled vehicle based on PID neural network. The algorithm overcomes the problem of PID controller generalization is weak, and can avoid over fitting and the BP neural network controller into a local optimum. The algorithm of the controller is constituted by a three-tier network, the first floor is the input layer, which receives two-wheel self-balancing vehicle position and Angle feedback information;a second layer of PID neuron layer, which is connected to the input layer, the state transition function respectively proportional function, integral function and the differential function;the third layer is the output layer, by weight in various proportions hidden layer output, the final composition of the control output of the controller. Control system fusion using kalman filter algorithm to get the self-balanced vehicle's attitude information. Through self-balancing two-wheeled vehicle actual experimental platform to verify the effectiveness of the control algorithm implementation.

关键词： self-balancing two-wheeled PID neural network kalman filter algorithm

来源：评论

学校读者我要写书评

暂无评论

State Estimation for Ellipsoidally Constrained Dynamic Systems with Set-membership Pseudo Measurements

State Estimation for Ellipsoidally Constrained Dynamic Syste...

引用

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： Noack, Benjamin Baum, Marcus Hanebeck, Uwe D. Karlsruhe Inst Technol Inst Anthropomat & Robot Intelligent Sensor Actuator Syst Lab ISAS D-76021 Karlsruhe Germany

ISBN: (纸本)9781479977727

In many dynamic systems, the evolution of the state is subject to specific constraints. In general, constraints cannot easily be integrated into the prediction-correction structure of the kalman filter algorithm. Linear equality constraints are an exception to this rule and have been widely used and studied as they allow for simple closed-form expressions. A common approach is to reformulate equality constraints into pseudo measurements of the state to be estimated. However, equality constraints define deterministic relationships between state components which is an undesirable property in kalman filtering as this leads to singular covariance matrices. A second problem relates to the knowledge required to identify and define precise constraints, which are met by the system state. In this article, ellipsoidal constraints are introduced that can be employed to model a bounded region, to which the system state is constrained. This concept constitutes an easy-to-use relaxation of equality constraints. In order to integrate ellipsoidal constraints into the kalman filter structure, a generalized filter framework is utilized that relies on a combined stochastic and set-membership uncertainty representation.

关键词： kalman filters covariance matrices state estimation stochastic processes kalman filter algorithm closed-form expressions easy-to-use relaxation ellipsoidal constraints ellipsoidally constrained dynamic systems equality constraints generalized filter framework linear equality constraints prediction-correction structure pseudo measurements set-membership pseudo measurements set-membership uncertainty representation singular covariance matrices stochastic representation Covariance matrices Mathematical model Measurement uncertainty Shape Stochastic processes Xenon kalman filters State estimation Markov chain variance covariance matrix Covariance matrix Stochastic Processes measurement uncertainty Xenon Dynamic systems Mathematical Model Equality

来源：评论

学校读者我要写书评

暂无评论

Denoising by Local Iterated Extended kalman filter for Quantification Purposes in Electronic Noses 14

Denoising by Local Iterated Extended Kalman Filter for Quant...

引用

International Symposium on Communications and Information Technologies

作者： Turmchokkasam, Sirichai Chamnongthai, Kosin King Mongkuts Univ Technol Thonburi Fac Engn Dept Elect & Telecommunicat Engn Bangkok Thailand Bangkok Univ Dept Elect & Elect Engn Bangkok Thailand

ISBN: (纸本)9781479944163

In the area of electronic noses (e-noses), applications in the field of wine detection are uncommon. The number of qualified human wine experts is low and their cost is high. This paper has been developed for the purpose of local iterated extended kalman filtering technique for collecting raw data (typical red wine aromas) and de-noising based on the output noise characteristics of those gas sensors. Compared to the conventional kalman filter algorithm.

关键词： Wine Aromas Electronic Noses Local Iterated Extended kalman filtering Technique kalman filter algorithm

来源：评论

学校读者我要写书评

暂无评论

Inverse parameter identification of cohesive zone model for simulating mixed-mode crack propagation

引用

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES 2014年第13期51卷 2400-2410页

作者： Xu, Yangjian Li, Xiangyu Wang, Xiaogui Liang, Lihua Zhejiang Univ Technol Coll Mech Engn Hangzhou 310014 Zhejiang Peoples R China

Inverse analysis is widely applied to the identification of material properties or model parameters. In order to improve the computational efficiency of the inverse method based on the genetic algorithm, an interpolation scheme upon the response surface constructed by the finite element simulation has been adopted in this paper. Meanwhile, a gradual homogenization treatment scheme has also been presented to improve the convergence of the inverse method based on the kalman filter algorithm. Both methods are proven effective in dealing with the single-objective inverse problem. However, literature studies show that the adoption of multiple types of experimental information is useful to improve the accuracy of inverse analysis. In this case, it turns into a multiple-objective inverse problem. Our practice proved that the above-mentioned two methods might not yield a proper result if the sensitivity issue of different types of information is not considered. Therefore, another multi-objective inverse method, in combination of the above two optimization algorithms and a weight-estimating scheme that can consider such sensitivity, has been further presented. Finally, by using a mixed-mode crack propagation simulation and two types of experimental information (loading-displacement response curve and crack path profile), the parameters of the cohesive zone model were inversely identified and its simulation results are in good agreement with the experiment. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Cohesive zone model Inverse analysis kalman filter algorithm Genetic algorithm Weight-estimating scheme

来源：评论

学校读者我要写书评

暂无评论

Selection of Optimal Location and Size of Multiple Distributed Generations by Using kalman filter algorithm

引用

IEEE TRANSACTIONS ON POWER SYSTEMS 2009年第3期24卷 1393-1400页

作者： Lee, Soo-Hyoung Park, Jung-Wook Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea

Increase in power consumption can cause serious stability problems in electric power systems if there are no ongoing or impending construction projects of new power plants or transmission lines. Additionally, such increase can result in large power losses of the system. In costly and environmentally effective manner to avoid constructing the new infrastructures such as power plants, transmission lines, etc., the distributed generation (DG) has been paid great attention so far as a potential solution for these problems. The beneficial effects of DG mainly depend on its location and size. Therefore, selection of optimal location and size of the DG is a necessary process to maintain the stability and reliability of existing system effectively before it is connected to a power grid. However, the systematic and cardinal rule for this issue is still an open question. In this paper, a method to determine the optimal locations of multiple DGs is proposed by considering power loss. Also, their optimal sizes are determined by using the kalman filter algorithm.

关键词： Distributed generation grid connection kalman filter algorithm load-concentration-bus optimal location optimal size power loss

来源：评论

学校读者我要写书评

暂无评论

RELIABLE SOC ESTIMATION FOR BATTERY POWERED EMBEDDED SYSTEM

RELIABLE SOC ESTIMATION FOR BATTERY POWERED EMBEDDED SYSTEM

引用

International Conference on Information Communication and Embedded Systems (ICICES)

作者： Johnsema, B. Janakiraman, K. SASTRA Univ Embedded Syst Thanjavur India SASTRA Univ Campus Fac Shanmugha Polytech Coll Thanjavur India

ISBN: (纸本)9781479938346

Lifetime constraint is the smallest mischance that could spell disaster to the entire embedded network. At most real time embedded devices are supported by battery backup. Low Battery life feeble the efficiency of the device, this may lead to catastrophe in hard real time. Hence lifetime constraint is considered as the significant issue in embedded device. This paper describes the solution for efficient lifetime. Battery management system is modeled by microcontroller to monitor and protect the battery pack. For safe working of the battery state of charge, SOC must be estimated. To improve the accuracy of the SOC, kalman filter algorithm is implemented. Battery management microcontroller communicates with host microcontroller to update the battery backup and state of health of the battery system. By the information received, host microcontroller schedules the task accordingly such that no catastrophic occurs.

关键词： State Of Charge (SOC) Battery management Microcontroller kalman filter algorithm

来源：评论

学校读者我要写书评

暂无评论

INS/Baro Integration for INS Vertical Channel Based on Adaptive filter algorithm

INS/Baro Integration for INS Vertical Channel Based on Adapt...

引用

2014中国制导、导航与控制学术会议

作者： Hongyu Yan Long Zhao Digital Navigation Center Beihang UniversityBeijing100191 China Science and Technology on Aircraft Control LaboratoryBeihang UniversityBeijing100191 China

ISBN: (纸本)9781479946983

The information of INS vertical channel is key to control small UAV (Unmanned Air Vehicle).This paper studies the integration of INS/Baro-altimeter based on kalman filter algorithm to improve the calculation accuracy and stability of INS vertical *** proposed kalman filter is constructed by INS and baro-altimeter error model and is simple to *** adaptive factor is used to further improve stability of the *** proposed algorithm is compared with vertical channel damping loop using data from simulation and experimental *** results show that the values calculated by the proposed algorithm are more accurate and stable,and the filter parameters are easier to set.

关键词： adaptive kalman filters altimeters autonomous aerial vehicles error analysis telecommunication channels INS vertical channel damping loop INS-baro-altermeter error integration kalman filter algorithm adaptive filter algorithm calculation accuracy improvement calculation stability improvement control small UAV control small unmanned air vehicle Adaptation models Adaptive filters Adaptive systems Damping Equations kalman filters Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Identification of acceleration harmonic for an electro-hydraulic servo shaking table based on kalman filter

引用

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2013年第8期35卷 986-996页

作者： Yao, Jianjun Di, Duotao Jiang, Guilin Gao, Shuang Yan, Han Harbin Engn Univ Coll Mech & Elect Engn Harbin Heilongjiang Peoples R China

Non-linearities commonly exist in an electro-hydraulic servo shaking table, causing acceleration harmonics distortion when the shaking table is excited by a sinusoidal acceleration signal, because its acceleration response includes higher harmonics, which lower the control performance for an electro-hydraulic servo shaking table. To cancel the harmonics in the system response, thus to improve the shaking table performance, we need to know about the harmonics information. An identification algorithm is developed here based on a kalman filter for dynamically tracking the acceleration harmonics for the electro-hydraulic servo shaking table. A linear system in state space is modelled. The system acceleration response is applied as an observation value and is imported to the kalman filter, which recursively estimates the state vector of the linear system. The amplitude and phase of each harmonic are calculated from the estimated state vector, and their estimated values are validated. A simulation example is presented and experiments were performed on the electro-hydraulic servo shaking table. Both results show a good estimation performance of the proposed acceleration harmonic identification algorithm.

关键词： Acceleration distortion electro-hydraulic servo shaking table harmonic identification kalman filter algorithm

来源：评论

学校读者我要写书评

暂无评论

Application of kalman filter to hot-spot temperature monitoring in oil-immersed power transformer

引用

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2013年第4期8卷 322-327页

作者： Chen, Weigen Su, Xiaoping Chongqing Univ State Key Lab Power Transmiss Equipment & Syst Se Chongqing 400044 Peoples R China Chengdu Power Supply Co Chengdu 610017 Peoples R China

Winding hot-spot temperature (HST) is an important factor that affects the insulation life of an oil-immersed power transformer. Thus, precise prediction and close monitoring of HSTs are necessary to avoid thermal damage. In this paper, a differential equation for HST prediction is presented, which takes into consideration the effects of the top-oil temperature variations and thermal dynamics of the load. A discrete form of this equation based on the framework of the kalman filter (KF) algorithm was used to establish a real-time estimation model for the HST. The KF-based model was validated by a sample heat-run test involving a transformer setup in the laboratory. Moreover, the proposed model was applied to a real, large power transformer and compared with the classical IEEE-Annex G method. Results show that the HSTs estimated by the KF-based model are closer to the measured values. The exhibited potential applicability and generality in real-time prediction for HST demonstrate that the proposed model can be employed for online monitoring of HSTs for large power transformers. (c) 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

关键词： power transformer hot-spot temperature kalman filter algorithm online monitoring

来源：评论

学校读者我要写书评

暂无评论

Optimal Placement and Sizing of Multiple DGs in a Practical Distribution System by Considering Power Loss

引用

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2013年第5期49卷 2262-2270页

作者： Lee, Soo Hyoung Park, Jung-Wook Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea

The selection of placement and size for multiple distributed generators based on renewable energies becomes an important issue in operating modern power systems safely and reliably. This paper extends the previous study in our earlier paper by treating the problems for their optimal locations and sizes in more realistic way based on the power loss sensitivities and kalman filter algorithm, respectively. In particular, the proposed method is implemented by the simulation on a part of practical distribution network of 60 MVA scale, which is located at the Do-gok area in Seoul, Korea. The new factor, called as the optimal locator index, is developed to determine the optimal locations in a systematic and effective manner by the power loss sensitivities. Also, the kalman filter algorithm is applied to determine the optimal sizes by choosing the step size of 10 KW, which is a much smaller increment than the 10-MW step used in our earlier paper, without requiring high computational efforts. This selected step size of 10 KW is realistic and suitable to apply in practical test systems.

关键词： Distributed generator (DG) grid connection kalman filter algorithm load-concentration bus optimal location optimal locator index (OLI) optimal size power loss sensitivity power margin

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：