Research on Consistency of Control Algorithms for High-order Inertial Object

Liu Ji-zhen, Liu Xin-ping, Yang Yong, Guan Zhi-min

School of Control Science and Engineering

North China Electric Power University

Baoding, P. R. China 071003

Corresponding author: Liu Xin-ping

E-mail: liuxinpingtyl@163.com
Abstract—Several different control algorithms for high-order inertial system were researched recently in China. Since different algorithms have similar effects, the consistency of these algorithms was first proposed in this paper in the view of control principle. The superheated steam temperature system of a 600 MW unit was taken as an object. The characteristics of time domain and frequency domain, spectrum of local disturbance signals, robustness under model perturbation, and the real actuator output were analyzed and discussed. The conclusion is that the different algorithms applied in practice do have consistency; these algorithms have intrinsic deficiency, which is derived from the structure of the algorithms themselves. Finally it has carried on prospect for future research and some problems meriting our attention.

Keywords-high-order inertial object; consistency; control algorithm; superheated steam temperature

Xiaohui Rong, Pan Deng, Feng Chen, Shilong Ma

State Key Laboratory of Software Development Environment

Beihang University

Beijing, P.R. China

E-mail: rongxh@nlsde.buaa.edu.cn

Abstract—In the large-scale area lighting device collaboration system, because of the exclusivity of lighting device control, it is unavoidable to generate lighting device conflict when there are multi-tasks concurrently execute. This paper presents a lighting device conflict detection mechanism in the large-scale area lighting device collaboration system. Aiming the characteristic of multilevel device operation, recursion method is adopted to discover the multilevel device conflict in the large-scale area lighting device collaboration system. Finally, in order to verify the validity of the mechanism, experiments are done. It is proved that the large-scale area lighting device conflict detection mechanism can provide the insurance of the reliability for the upper-layer applications.

Keywords- large-scale lighting device collaboration; conflict detection; recursion method

Changming Ji

College of Renewable Energy

North China Electric Power University

Beijing, China

jichangming@yeah.net

Nansheng Pang

College of Economics and Management

North China Electric Power University

Beijing, China

pns@263.net

Abstract—Traditional algorithm for resource leveling optimization is based on the resource allocation pattern which is conventional distribution, i.e. the amount of resource invested is constant through the time when the leveling activity is underway. However, that assumption is always incompatible with practical working pattern of resource. In practice, resource allocation varies often with different features of activity and resource. The practical situation of multiple resource allocation patterns in network is studied in this paper, and the logical relation and resource constrains among activities under the condition of unconventional resource allocation pattern is analyzed. Mean square deviation of resource is taken as an evaluation function for evaluating resource equilibrium. Network schedule leveling optimization model based on unconventional allocation pattern of resource is constructed. By examples and contrastive analysis, this model is proved to be practical and effective.

Keywords-resource allocation pattern; unconventional distribution; leveling optimization; network schedule
Research on Theory Scheme in Intelligent Control System of Feed Processing

Li Yin

Northwest A&F University

Yangling , China

ly@nwsuaf.edu.cn

Zhang Teng

College of Information Engineering

Northwest A&F University

Yangling , China

ly@nwsuaf.edu.cn

Li Xinle

Northwest A&F University

Yangling , China

ly@nwsuaf.edu.cn

College of Information Engineering

NorthwestA&F University

Yangling , China

ly@nwsuaf.edu.cn

Abstract—Based on PLC, this paper blends the automatic control theory with the feed processing industry and carries out design and research on the feed production automatic control system. Mainly employing the method of combining the upper computer with the PLC, this system can collect, recognize and control data to progressively implement the automatic control of feed production process. VC and configuration software are generally used to program for the system of which the database adopts SQL Server2000 and the PLC resorts to ladder diagrams to design software programming. The running result shows that this system can detect and control safety parameters and achieve the automatic technology transform of feed production lines.

Keywords:computer application; feed production; PLC; automatic control system
Routing In Trustworthy Networks With SAVA Nodes

Rongxi He1, 2, Limin Song1, Xudong Wang1, Bin Lin1

1. College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China

2. National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

e-mail: hrx@dlmu.edu.cn; slm@dlmu.edu.cn; wxd@dlmu.edu.cn; linbin0610@163.com

Abstract—In a trustworthy network with the mechanism of Source Address Validation Architecture (SAVA), each packet received and forwarded has been ensured to hold an authenticated source IP address, which can prevent the attackers to forge the originating IP address to evade responsibility for their malicious packets. However, it is impossible to deploy SAVA all over the Internet in one night. In this paper, we investigate the SAVA mechanism from the point of routing for a trustworthy network with a partial deployment of SAVA nodes. We propose a new routing algorithm, called Minimum Hop to First SAVA node (MHFS). Extensive simulations show that MHFS can not only guarantee that each route for packets includes at least one SAVA node, but also achieve a better successful probability for routing packets and a improvement in resource usage.

Keywords-trustworthy networks; routing; Source Address Validation Architecture (SAVA)

Performance of Space-Time Block Coding under Impulsive Noise Environment

Yu Gong1, Xudong Wang1, Rongxi He1, 2, Fuwen Pang1

1. College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China

2. National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

e-mail: gyvwer@sina.com, xudongwang@tom.com, hrx@dlmu.edu.cn, fwpang@sohu.com
Abstract—In this paper, we investigate the performance of orthogonal space-time block coding (OSTBC) under impusive noise environment, the joint probability density function (pdf) of the noise signals in OSTBC systems is presented with statistical-physical Middleton Class A noise model. We derive the upper bound on the average pairwise error probability (PEP) under Class A noise environment by the moment generating function (MGF), and also evaluate the performance of symbol error rate (SER) over fading channels. It is observed that the performance of OSTBC will be degraded as the impulsive nature of the noise increases in Class A noise environment.

Keywords- OSTBC; impulsive noise; Middleton Class A noise model; fading channels;

ZHAO Xin

National University of Defense Technology

ChangSha, China

e-mail: zhx20mg@163.com

ZHANG Wei

Institute of Systems Engineering

National University of Defense Technology

ChangSha, China

e-mail: the_ant@163.com

LEI Yong-lin

Institute of Systems Engineering

National University of Defense Technology

ChangSha, China

e-mail: samuelyonglin@gmail.com

ZHU Yi-fan

Institute of Systems Engineering

National University of Defense Technology

ChangSha, China

e-mail: yfzhu@nudt.edu.cn

Abstract—Influence Diagrams (IDs) are not only used to display a graphical representation of the qualitative structure of models, but also to improve the communication among subject-matter experts, analyzers, and decisionmakers, by showing the frame of issue discussed from a high-level point of view. This thesis provided a curt overview of IDs and its evaluating, then introduced the extended Time-Sliced IDs and a software tool, EASim, which supporting analytical modeling by Time-Sliced IDs, and finally gave an instance of analytical modeling based on the Time-Sliced IDs and shows some analysis in EASim.

Keywords-influence diagrams; time-sliced influence diagrams; analytical modeling; EASim; anti-warship

Braking Force Dynamic Coordinated Control for Hybrid Electric Vehicles

Mingli Shang ,Liang Chu, Jianhua Guo, Yong Fang , Feikun Zhou

State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun, 130025, P.R. China

shangmingli2006@163.com

Keywords-Hybrid Electric Vehicle; Regenerative Braking; Braking Force Coordinated Control; Feed-forward and Feedback Control

State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun, 130025, P.R. China

xhhmail@jlu.edu.cn
Abstract—In this paper, an integrated vehicle dynamics control system is designed to improve vehicle handling and stability by coordinating control of Active Front Steering (AFS) and Electronic Stability Program (ESP). The integrated control system includes a coordinated controller in upper layer and two subsystem controllers in lower layer. The control algorithm based on phase plane is used to identify the driving situations. And a coordinated control rule based on integrated scheme is employed to determine and allocate the control tasks between the two subsystems. The simulation results show that the proposed control strategy is able to enhance the tracking performance of the reference yaw rate and improve the driving steer-ability of the vehicle.

Keywords—Vehicle, Integrated control, Active front steering, Electronic stability program

1Department of Automation

Harbin Engineering University

Harbin, China

e-mail: maolinjj@yahoo.com.cn

2Department of Electronic Engineering

Heilongjiang University

Harbin, China

Abstract—In this paper, a new extended Kalman particle filter based information fusion is proposed for state estimation problem of nonlinear and non-Gaussian systems. It uses extended Kalman filter algorithm to update particles in particle filter, with which the local state estimated values can be calculated. The multi-sensor information fusion filter is obtained by applying the standard linear minimum variance fusion rule weighted by scales. The simulation results show that the proposed algorithm improves the accuracy of filter compared with single sensor.

Keywords- information fusion; extended Kalman particle filter; state estimation

Youjun Xu1,2, Dantong Ouyang1,2, Yuxin Ye1,2

1College of Computer Science and Technology,

2 Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education

Jilin University,

Changchun, China.

e-mail: xuyj_jlu@yeah.net

Abstract—The satisfiability problem is the core problem in artificial intellgence. The algorithm directional resolution(DR) is a well known method based on resolution for satisfiability problem. But the number of clauses has great impact on the efficiency of the method. In this paper, an algorithm SRDR is proposed to solve the problem. SRDR is based on algorithm DR and splitting rule. By using splitting rule, the number of clauses can be reduced obviously. Furthermore, the strategy MO is designed for SRDR. With the strategy, we can get a better order of variables and the efficiency of SRDR is improved. The experimental data shows that SRDR is more efficient that DR.

Keywords-satisfiability problem; directional resolution; splitting rule; SRDR; strategy MO
Design and Implementation of Traceability Information System for Agriculture Product Quality
Li Yin He Dongjian *
Li Yin

College of Information Engineering

Northwest A&F University

Yangling , China

ly@nwsuaf.edu.cn

He Dongjian*

College of Mechanical & Electronic Engineering

Northwest A&F University

Yangling , China

Hdj168@nwsuaf.edu.cn

Abstract—Safety of agriculture product is the basis trend of agriculture development, and it is important to improve agriculture economy benefit and boost up the agriculture product competence. This paper presents a quantitative approach to construct traceability information system based on database. Traceability information system is estimated using the development mode of JSP and MYSQL. The approach can identify the key steps of management, analysis and search the relative agriculture traceability code based on the flow of agriculture product current. The system is verified in practical environment and implemented the object to record preferably the process in the agriculture product current.

Keywords: computer application; E-commerce; traceability information system; database

Shengyuan Yan, Jingling Zhang, Shuaiqi Wang, Yu Chen

College of Mechanical and Electrical Engineering

Harbin Engineering University

Harbin, China

E-mail: yanshycncn@yahoo.com.cn

Keywords-controller; arrangement optimization;arrangemen principles; ant colony algorithm

Yong li1,2 , Ke Wang1, Qing-zhu Wang1, Bo Sun1, Wen-wei Kang1

Changchun 130025,China

2.College of Information Engineering ,Jilin Teathers’Institute of Engineering&Technology

Changchun 130052，China

liyong8113@sina.com

Abstract—This electronic Aiming at the Characteristics of image edge detection based on dual-tree complex wavelet transform, an algorithm is put forward to in the paper, which is used to structure a dual-tree complex wavelet filter based on B-spline wavelet. There are both the benefits of shift invariance, good directional selectivity in dual-tree complex wavelet and optimal gradualness in B-spline wavelet. Experiment results show that, compared with the Canny, discrete wavelet transform, dual-tree complex wavelet transform, the algorithm in the paper is more efficient with both precise image detection and effective noise restraining.

Keywords-dual-tree complex wavelet; B-spline wavelet; edge detection
Computer-aided Assessment of Man-machine Interface Design for Display and Control Centers

Shengyuan Yan, Jingling Zhang, Kun Yu, Jisong Bai

College of Mechanical and Electrical Engineering

Harbin Engineering University

Harbin, China

e-mail: yanshycncn@yahoo.com.cn

Abstract—A computer-aided assessment method of man-machine interface(MMI) for display and control centers(DCC) in the power plants was proposed. The digital Chinese human body model(HBM) for assessment was developed based on UG/OPEN API; the design-related ergonomics standards of DCC were studied, and the quantitive objective indexes are used as the assessment indexes; the quantifying methods of assessment indexes were also studied and determined. Finally, the computer-aided assessment software system was developed based on UG/OPEN, with using UG/Open API, MenuScript and UIStyler development tools. The Chinese HBM, assessment indexes, and quantifying methods all were integrated into this software system. It combined the mentioned assessment methods with the digital design platform of UG and it achieved the real-time interaction between design and assessment of DCC.

Keywords-computer-aided assessment; human body model; man -machine interface; display and control centers; UG/Open API

Yang Bo, Zhang Youhong

Xi'an Research Inst. Of High-Tech

Xi'an, 710025, China

e-mail: yangbo8093@sina.com

Chai Yan

Northwestern Polytechnical University

Xi’an, 710072, China

e-mail: chaiyan1026@163.com

Abstract—A fault-tolerant integrated navigation method for land vehicle is researched in this paper, which is based on inertial measurement unit (IMU), global positioning system (GPS) and dead reckoning system (DRS). Firstly, position and velocity outputs of IMU and GPS are taken to construct measurements of IMU/GPS integrated navigation, and IMU/GPS Kalman filtering algorithm is deduced and designed. At the same time, position outputs of IMU and DRS are taken to construct measurements of IMU/DRS integrated navigation, and its Kalman filtering algorithm is also designed. Then IMU/GPS/DRS federated filter frame is designed, and the global optimal fusion algorithm of the master filter is researched. Thus estimations of system states from IMU/GPS and IMU/DRS local filters are sent to the master filter independently. Consequently global optimal estimations of system states are given in the master filter. Lastly, based on the federated filter frame, the fault detection and isolation algorithm for IMU/GPS/DRS integrated navigation system is designed. Simulation results show that, position accuracy of this integrated navigation method reaches ±4.8m, and velocity accuracy reaches ±0.09m/s. And simulation results also show that, this integrated navigation method has strong fault-tolerance, and it can keep high accuracy when GPS or DRS is out of order.

Keywords- fault-tolerant integrated navigation; inertial measurement unit; global positioning system; dead reckoning system; land vehicle

Xianyong Zhang

College of Mathematics and Software Science

Sichuan Normal University, SICNU

Chengdu, Sichuan 610068, P. R. China

xianyongzh@sina.com.cn

Abstract—Grade is an important quantitative index, and graded rough set model is an important improved rough set model. This paper is to explore product operation of grade lower approximation operators. Based on logical product operation, this paper proposes product model of grade lower approximation operators based on two parameters. Essence, basic structure and properties are obtained in the new model. Macroscopic algorithm and structural algorithm are proposed and analyzed, and by comparison it obtains an important conclusion that structural algorithm has advantages in time complexity and space complexity. Finally an example is given to illustrate the new model and its algorithms. Product model of grade lower approximation operators based on two parameters has extended graded rough set model partially, and it obtains idempotent property of grade lower approximation operators.

Keywords-artificial intelligence; rough set theory; logical product operation; approximation operator; graded rough set; grade; macroscopic algorithm; structural algorithm

Xi’an High-Tech Institute

710025, Xi’an, china
Abstract—The method of de-noising by wavelet transformation and the basic theory of wavelet transformation based on threshold de-noising are introduced in this paper, the characteristics of noise under the wavelet decomposition are discussed, and the gear fault diagnosis of a gearbox is studied through the wavelet analysis. Experiment result demonstrates that this method can remove the strong noise and extract the pulse feature of fault signal effectively. The method is effective and feasible via the practical application.

Keywords-Gearbox; Vibration signals; Wavelet transformation; De-noising

Xi’an High-Tech Institute

710025, Xi’an, china
Abstract—Analysing vibration signal is an effective important method for diesel engine fault diagnosis, and its key techniques are feature extraction and pattern recognition. In this paper, wavelet packet decomposition algorithm as an effective method for fault feature extraction is used to decompose the vibration signals, and its percentage of energy band wavelet packet and wavelet packet energy spectrum entropy are regarded as diagnostic feature vectors. At the same time, in the process of pattern recognition, a mixed neural network training algorithm——GA-BP algorithm was used to recognize the fault pattern in fault diagnosis of valve gap abnormal fault. This method can effectively and reliably be used in the fault diagnosis of valve gap abnormal fault by comparing the two algorithms and analyzing the results of real examples. This method can also effectively be used in other fields.

Keywords-Wavelet package; Spectrum entropy; Neural Network; BP algorithm; Genetic algorithm; Fault diagnosis; Diesel