Rough Set Based on Binary Vector Matrix Computing
GENG Zhi-qiang, ZHU Qun-xiong
2007, 20 (3): 1-4.
Abstract ( ) PDF ( 170KB ) ( ) 　　
From the mapping relationship between information vector matrix and relative vectors, rough approximation, attribute relative reductions and selecting optimal attribute reductions set algorithms based on binary vector matrix were proposed. Inconsistency of acquiring attribute kernel and blindness of selecting attribute reductions are overcome. On the foundation of studying binary vector matrix algorithms, binary vector compression matrix algorithm was also put forward, and the algorithm complexity was decreased faster than the original matrix algorithm. By the example analysis, the validity of the proposed algorithms was verified, the feasible computing way is presented for studying rough set further.  
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Opt imization Desig n for Dex terous -Hand of Mobi le Robo t
WANG Hai-ying, YOU Bo, SUN Xiao-bo, ZHANG Li-yong
2007, 20 (3): 5-7.
Abstract ( ) PDF ( 530KB ) ( ) 　　
Aim at design question of dexterous-hand optimization structure parameter confirming and optimal dexterous, a new optimization design method was proposed. The bionics principle of mankind finger was introduced to the structure parameter optimization algorithm. Firstly the dexterity of the single finger was  analyzed, the design criteria of dexterity with optimum index was adopted, space best dexterity area, relation of every rod length and rotation range of every joint were confirmed. Then MATLAB optimization toolbox was used  to optimize the above-mentioned structure parameter, it gained the optimal dimension of content task of grasping. Finally the method of ration numeration relative position of fingers was proposed. It is applied to the real design of housework service robot, optimal flexible performance is obtained.
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Object T racking o f 2D Image Motion Based o n Kalman Fi ltering
FENG Yi-wei, LI Ji-gong, GUO Ge, ZHOU Pei-pei
2007, 20 (3): 8-11.
Abstract ( ) PDF ( 344KB ) ( ) 　　
A novel tracking strategy which can robustly track an object within a fixed environment was proposed. A robust model-based tracker was defined using kalman filtering combined with recursive least squares (RLS). The tracking was done by fitting successively more elaborate models on the tracked region, and the segmentation was done by extracting the regions of the image that are consistent with the computed model of the target. A competitive and efficient dynamic kalman filter were adopted to adaptively update the object model by adding new stable features as well as deleting inactive features. Then the matching search of the feature object was achieved by RLS. The approach was tested on FIRA Mirosot and tested in the context of ball tracking in the FIRA domain. The results show that the proposed approach can obtain excellent ability of tracking and robustness.
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Parameter Establishment of Part icle Sw arm Optimizat ionAlgo rithm Based on Uniform Design
GAO Shang，CHEN Jian-zhong
2007, 20 (3): 12-15.
Abstract ( ) PDF ( 159KB ) ( ) 　　
In general the parameters of particle swarm optimization algorithm(PSO) are determined by experience and experiment．This leads to heavy work load and difficult to obtain the optimal combination of the parameters and affects the use of PSO．Uniform design method was used to convert the problem of parameter establishment into the experimental design of multi-factor and multilevel and reduce the work load of experiment greatly of simulation．Simulation results for the benchmark problems show that the proposed method is feasible and valid．
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Stochas tic Model Analy sis fo r Vehicle Flux in Plane Inter sect ion of Ci ty Roads
SU Hong-sheng, ZHANG You-peng
2007, 20 (3): 16-19.
Abstract ( ) PDF ( 193KB ) ( ) 　　
According to Markov theory, dynamic stochastic model of vehicle flux of plane intersections of city roads was investigated under generic exponential renewal environment on red and green light information. The acquired conclusions were compared with conventional timed control with unsaturated vehicle flux. The results prove the effectiveness of the stochastic model. Finally, green signal control in intersections not only considers delay time and passing efficiency, but also calculates renewal cycle.
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Research of Time Series Fo recast ing Based on New ton Interpolation and Neural Netwo rk
DU Yang
2007, 20 (3): 20-23.
Abstract ( ) PDF ( 583KB ) ( ) 　　
A new prediction model was proposed by Newton interpolation and neural network based on time series. Firstly, history sales data were fitted by Newton interpolation and neural network was trained by mass data, which makes up for the deficiency of history data. Secondly, time series factors were fitted by substituting the trained neural network for traditional least-squares methods to obtain the predictor. Simulation result shows the fitting capacity and the prediction precision of the model is effectively improved.
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Appraisal of Gold Mineral Resources With Mo re Developed Value in Guizhou Province
LIU Hong, LIAO Li-ping, ZHANG Qing-ling
2007, 20 (3): 24-28.
Abstract ( ) PDF ( 755KB ) ( ) 　　
Under guidance of the general theory and method of synthetic information of mineral appraisal, 107 areas were classified by geological unit methods in Guizhou，taken 18 areas of Au deposit concentrated regions as model units and 89 areas of  anomaly concentrated regions as prediction units, the theory of quantification IV was used to classify all the samples and established the model of orientation prediction for all the same samples by the way of character analysis. And extended the application of model units of Au deposit concentrated regions into the field of the Au anomaly concentrated regions. All the units base on the probabilities of forming gold mine were classified. 22 working areas with more developed value in future were selected. The orientation prediction drawing of Au anomaly concentrated regions in Guizhou was finished. It provides some scientific proofs to the field in orientation prediction of large gold mineral deposit concentrated regions in Guizhou province.
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Robust H2 /H∞ Control fo r Delta Operator Uncertain Sy stem
YAN Jun-rong,GUO Xi-jin
2007, 20 (3): 29-32.
Abstract ( ) PDF ( 187KB ) ( ) 　　
The problem of H₂/ H _∞ robust control for delta operator formulated a kind of linear systems with norm-bounded model parameter uncertainty and exterior disturbance was considered. A sufficient and necessary conditions and the corresponding state feedback control law were derived in terms of linear matrix inequality. It is showed that this condition is equivalent to the feasible solutions problem of a linear matrix inequality and its solutions provide a parameterized representation of the controller. Furthermore, the design problem of optimal robustH₂/ H _∞controller was given by solving a corresponding convex optimization problem. Finally, an example was given to illustrate the feasibility of the presented method.
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A Genetic Alg orith M odel Based on MAS -GA
WANG Wen-yan
2007, 20 (3): 33-36.
Abstract ( ) PDF ( 252KB ) ( ) 　　
Distribution system optimal planning has vital significance, but there isnt efficient and practical algorithm at traditional genetic algorithm has a poor expressive power for complicated problem because of the restriction of its ncodmg mode. which limits the application fields of genetic algorithm.A new type of genetic algorithm based on Agent behavior and paradigm learning was presented. An example distribution network was optimized by genetic algorithm and traditional genetic algorithm respectively. The comparative result proves the new genetic has higher expressive power, computing efficiency, convergent stability and extendable capability.
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Optimizatio n on a Period of Flying Orbi t o f Hypersonic Vehicle
WU Di, HU Peng, LIN Xiao-xu, YAO Zong-xin
2007, 20 (3): 37-40.
Abstract ( ) PDF ( 459KB ) ( ) 　　
The magnitude of the original quality and original angle of hypersonic vehicle can influence flying orbit and other design-parameters greatly. Firstly, according to flying process, the flying orbit was divided into six states analyzed by three models. Then a modified particle swarm optimization (PSO) algorithm was used to test the relationship among original quality, original angle and level distance. Referring to the test result, optimization research on a period of flying orbit of hypersonic vehicle was performed. Finally, the method has been successfully used and validated its rationality and validity by testing and analyzing the example.
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Paramete rs Optimization of ANFIS Based on Par ticle Sw arm Opt imizat ion
WANG Jie-sheng
2007, 20 (3): 41-44.
Abstract ( ) PDF ( 568KB ) ( ) 　　
Particle swarm optimization (PSO) is a global stochastic evolutionary algorithm. It tries to find optimal regions of complex searching space through the interaction of particles in the population. Based on the PSO algorithm characteristics of searching the parameter space concurrently and efficiently, the structure parameters of adaptive network-based fuzzy inference system (ANFIS) were tuned by the hybrid algorithm which combined particle swarm optimization with least-square method. The new algorithm greatly raises the convergence speed of network parameters identification and computation. It is demonstrated by numerical simulations that the designed algorithm is effective.
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Quantum Evolut ionary Alg ori thm Based on Immune T heory fo r Mul ti -Modal Funct ion Opt imization
YOU Xiao-ming, LIU Sheng, SHUAI Dian-xun
2007, 20 (3): 45-49.
Abstract ( ) PDF ( 318KB ) ( ) 　　
        A novel quantum evolutionary algorithm based immune mechanism (MIQEA) for solving function optimization containing multiple global optima was proposed. By niche methods the original population was divided into subpopulations automatically, and then local search was carried by the immune mechanism in which antibody can be clone selected, immune cell can accomplish cross-mutation, memory cells can be produced and similar antibodies can be suppressed for all subpopulations, each subpopulation can obtain optimal solutions. The algorithm can maintain all optimal solutions. The quantum evolutionary algorithm with intrinsic parallelism is integrated with adaptive immune dynamic model, it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and has been able to get the global optimal and sub-optimal solutions rapidly. The convergence of the MIQEA was proved; its superiority is shown by some simulation experiments.
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Modeling and Simulation of Laser T racking Sys tem
LIU Wan-li, QU Xing-hua, YAN Yong-gang
2007, 20 (3): 50-53.
Abstract ( ) PDF ( 407KB ) ( ) 　　
The kinematics model and tracking mirror center offset model of laser tracking system (LTS) were developed, based on the research on structure and working principle of LTS. A method of self-calibration using planar constraints was presented, which eliminates the need of using other higher accuracy instruments to calibrate the reference point in LTS; the self-calibration algorithm for LTS was also established. Finally, dynamic simulations on LTS model and algorithm were given, simulation results show that using these techniques to design and control LTS, the whole working process can be determined effectively, the tracking accuracy and responding speed can be improved quickly.
 
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Improvement of Multiple Field Bus Integration
FANG Xiao-ke, WANG Jian-hui, GU Shu-sheng
2007, 20 (3): 54-56.
Abstract ( ) PDF ( 397KB ) ( ) 　　
The two common multiple field bus integrations are deeply analyzed. Based on it, an improvement scheme of multiple field bus integration using OPC DX, industry ethernet and switch ethernet was proposed. The integration structure chart and technical characteristic were given. The improvement scheme can provide a theoretic guidance for the integration process.
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Adapt ive Dy namic S urface Co nt rol of Buck Pow er Conver ter s
YI Li-kui, ZHAO Jun
2007, 20 (3): 57-59.
Abstract ( ) PDF ( 154KB ) ( ) 　　
Based on the average model of Buck DC-DC power converters, which worked according to pulse width modulation principle, adaptive dynamic surface controller was designed. The controller can drive a class of Buck DC-DC power converters to operate well. It tracks the reference output voltage accurately, and has good robustness and adaptability for the parameter uncertainty. Adaptive dynamic surface control is a simplified algorithm for adaptive backstepping control of nonlinear systems. The addition of n-1 first-order filters allows the algorithm to be implemented without differentiating any model nonlinearities and suffering from the problem of the explosion of terms. When the filter time is small enough and the surface gain is selected reasonably, the controller is easy and prone to be practiced, and can guarantee semi-global stability. The effectiveness of the proposed control scheme is verified by the simulation.
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Dynamic Scheduling Method and I ts Applicat ion for Steelmaking and Continuous Casting
PANG Xin-fu, YU Sheng-ping, ZHENG Bing-lin, CHAI Tian-you
2007, 20 (3): 60-63.
Abstract ( ) PDF ( 566KB ) ( ) 　　
Considering unexpected events including time disturb, temperature compensation, abnormal casting and steel grade changing, optimal scheduling plan is not effectively obtained only by manual schedule under the technical constraints of steelmaking and continuous casting (SCC) production. Dynamic scheduling methods, which include local adjusting methods that combine CBR with man-machine interactive and rescheduling method that bases on making batch rule, were  presented. The dynamic scheduling framework was established, and the software system was also designed and developed by using these methods. Finally the system was successfully applied to one large steel plant, and realized rapidly optimal dynamic adjusting.
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Design of Process Superviso ry Sy stem for Thermal Powe r Plant Based on Sys tems Engineering
TIAN Jian-yan,QIAO Wei-gang
2007, 20 (3): 64-67.
Abstract ( ) PDF ( 449KB ) ( ) 　　
The design and application of the production process supervisory system for the thermal power plant were emphatically demonstrated in detail. The systems engineering methodology was applied during the whole design process. From the actual process situation and the systematic overall function, the correct scheme decision had been made by the analytic hierarchy process (AHP). Then all the pictures of the supervisory system were programmed and made. According to about three-year successful application in a certain power plant, it is demonstrated that this supervisory system has many characteristics of high reliability, perfect functions, convenient operation and use, low cost and flexible configuration etc. Its application not only provides help for operators, but also improves the managing level of the production. Thus the production in the thermal power plant is safe and stable.
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Development of No n -Touch Ultrasonic Open Di tch Flow Meter
CHANG Feng-jun，CUI Xu-dong
2007, 20 (3): 68-70.
Abstract ( ) PDF ( 354KB ) ( ) 　　
Since the accuracy of ultrasonic flowmeter is easily influenced by temperature, the standard pole was used for the temperature compensation. It can avoid the influence on the measure accuracy by temperature variation. Its hardware circuit was discussed and designed. The transmitting circuit produced 40 kHz of ultrasonic wave using 555 oscillator. In the receiving circuit, the received wave was amplified, filtered, detected. The turning of comparators was taken as indicators to interruption reception of ultrasonic wave. The software designing realized oscillating eliminating of the received wave. The results show that the system can obtain the characteristics of high-precision, operation credibility and low price.
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Adaptive Temperature Predict ion Model of Slab in Reheating Furnace
ZHANG Li，YU Zheng-jun,CHEN Xue-bo
2007, 20 (3): 71-73.
Abstract ( ) PDF ( 274KB ) ( ) 　　
Considering at the difficulty that the temperature of slab in reheat furnace is immeasurable, an adaptive temperature prediction model based on state space of slab was established according to mechanism of heat transfer. The real time measurement information of slab temperature behind rough mill can be used to adaptively revise the temperature prediction model. Industry experiments and simulations indicate that this temperature prediction model of slab is of high precision, good adaptive ability and strong robustness.
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Back Flashovers Lightning Perfo rmances fo r 500 kV AC T ransmission Lines Wi th Quadruple -Circui ts o n Single Tow er
CHAI Ya-jing, ZHOU Wen-jun, LI Xue, LIU Xiao-dong, SU Hong-mei
2007, 20 (3): 74-77.
Abstract ( ) PDF ( 505KB ) ( ) 　　
Lightning performance calculation and analysis of back flashover for 500 kV AC transmission lines with quadruple-circuits on single tower was obtained by electromagnetic transients program (EMTP). Lightning performance influenced by different factors such as grounding resistance, height of tower, and grounding wires was calculated and analyzed in details. Electric potential waveshapes of tower body and crossarms were presented by EMTP, also voltage waveshape between upper or lower crossarms and any given phase conductors. Under the lighting stroke, electric potential of tower body reduces gradually from top to down while that of the top crossarm reduces gradually from one side with lightning stroke to another side without lightning stroke.Voltage everywhere of the middle crossarm is almost same, also of the down one. Voltage between phase conductors and upper crossarm is higher than that between the phase conductors and lower crossarms. As a conclusion, measures to reduce damages brought by back flashover are listed below: reducing height of towers, setting up grounding wires in the center of the top crossarm and both sides of the second crossarm; increasing the air gap distance between phase conductors and their the upper crossarms, etc.
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The Heal th M onito ring Sys tem o f Propylene Polymerization in the Optimizat ion Process
YAN Zheng-bing, LIU Xing-gao, WU Jun
2007, 20 (3): 78-81.
Abstract ( ) PDF ( 189KB ) ( ) 　　
A neural networks model based on PCA-CGA-RBF was proposed to infer the MI of manufactured products from real process variables. A health monitoring system with a single variable control based on this model is achieved to make real-time online health assessment and give operation recommendations to make the propylene polymerization process more secure, stable and efficient.
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Mel t Index Prediction of Polypropylene by Neural Netw orks Model Based o n PCA -GA -RBF
LOU Wei, LIU Xing-gao
2007, 20 (3): 82-85.
Abstract ( ) PDF ( 214KB ) ( ) 　　
Melt index (MI) is the most important parameter in determining the polypropylene's grade. Since the lack of proper on-line instruments, its measurement interval and delay are both very long. This makes the quality control quite difficult.A neural network model based on PCA-GA-RBF was proposed to infer the MI of manufactured products from real process variables, where principle component analysis (PCA) was used to select the most relevant process features and to eliminate the correlations of the input variables, radial basis function (RBF) neural networks were used to characterize the nonlinearity and accuracy, and genetic algorithms (GA) was employed to optimize the parameters and structure of the RBF neural networks. The results show that the proposed method provides promising prediction reliability and accuracy.
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Radial Basis Function Neural Netw ork Algo ri thm and I ts Applicat ion
ZHANG Ding-xue,LIU Xin-zhi,GUAN Zhi-hong
2007, 20 (3): 86-88.
Abstract ( ) PDF ( 234KB ) ( ) 　　
Based on the study of radial basis function (RBF) neural network training algorithm, a new RBF neural network training algorithm was introduced by combining genetic algorithm of chromosomes with changeable length and least-square method. It is able to determine the structure and parameters of network. The new training algorithm was used to model heat loading forecasting for co-generation power plants, compares with BP neural network and RBF neural network based on a training algorithm of automatic increase in hidden nodes. Simulation results show that the proposed method is valid.
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Application in Identif ication Sy stem of Electrocardiog raph Based on Wavelet T ransfo rm
ZHANG Yong, ZHANG Ping
2007, 20 (3): 89-92.
Abstract ( ) PDF ( 559KB ) ( ) 　　
Use wavelet transform to identify the idiographic shape of QRS,P,T of Electrocardiograph(ECG), and obtain the shape ,beginning,end of wave and relevant parameter. The expert system of ECG diagnosis was set up on the basis of characteristic parameter, in which a new fuzzy inference method was used to develop the fuzzy expert system based on experience and specialty knowledge of experts. This method was tested using VC++6.0. The test shows that this system can automatically diagnose the result of ECG well and truly.
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Practical Intelligent Co nt rol Based on P rogramming T ransi tion Process
WANG Si-yuan, YANG Yang, ZHANG Run-tong, SHAO Cheng
2007, 20 (3): 93-96.
Abstract ( ) PDF ( 533KB ) ( ) 　　
PID controller has already applied widely, but it is difficult to meet the distinct requirements of both static and dynamic performance in the industrial plants, which leads to the inefficiency of operation. By programming transition process of one-order inertial system, designing rationality in the whole process of the set value changing and introducing assistant application of the derivative signal, the implementation of control target was carried into the programmed process control and made the control key to transit from confirming system model to roughly estimating the time constant of system, and the control effect was improved evidently. The relative simulation analysis with MATLAB verifies the rationality and certain universality of the proposed algorithm.
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Chaos -Clo ne Based Evolutionary Algo rithm
HU Jiang-qiang，GUO Chen, BU Ren-xiang
2007, 20 (3): 97-100.
Abstract ( ) PDF ( 253KB ) ( ) 　　
A Chaos-clone based evolutionary algorithm (CCEA) was proposed by integrating chaos search and clonal selection algorithm (CLONALG). In CCEA the chaotic floating point numbers code was used to replace the binary code of CLONALG, and the initial antibody population was produced by the chaos random serial．The algorithm adopted a chaotic disturbance strategy for the antibodies with high affinity, and added the different chaotic disturbance to an antibody according to its affinity to antigen; the disturbance factor changes with the evolutionary generation so as to speed search during prophase and convergence during anaphase． CCEA uses a chaos to reshuffle operation for those antibodies with low affinity to maintain the diversity of the population． Simulation results for 5 comprehensive benchmark functions demonstrate that the CCEA has better performance than both the chaos optimization and CLONALG individually used．
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Design on a High-Speed Image Collecting System
LI Chang-le, ZANG Xi-zhe, ZHAO Jie
2007, 20 (3): 101-104.
Abstract ( ) PDF ( 748KB ) ( ) 　　
The high-speed image collecting system with NIOS II soft-core processor as key component, high-speed line array CCD as image collecting component, SDRAM memory as image data buffer storage was designed. Image signal processing and data collection, noise reduction algorithm and control to image data buffer storage can be realized by digital technology. The above system has been simulated successfully by EDA software after programming and debugging with FPGA chip. Finally, system test shows that the designed system in high-speed image collection is effective, and the system hardware structure is simple, well as the real-time performance is improved greatly.
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Asynchronous Web Process Supervision and Control Based on .NET Platform
HU Shan, ZHU Xiu－hui
2007, 20 (3): 105-108.
Abstract ( ) PDF ( 681KB ) ( ) 　　
In traditional B/S system, the server must refresh all data of the whole page and transmit them to the client when the client requires new data. This way not only increases the burden on the server, but also brings about  a lot of iterative data, so it is difficult to use this way in real-time monitoring system. The asynchronous web process supervision was realized by using the combination of data acquisition function of OPC, asynchronous communication function of AJAX.NET and painting function of VML. This proposed method can not only reduce the overloads of the server, but strengthen the real-time capability of the B/S supervision and control system.
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Analysis and Design of NCS With Data Packet Dropout and Network -Induced Time Delay
LIANG Tao, ZHENG Er-li, SUN He-xu, LIN Tao
2007, 20 (3): 109-112.
Abstract ( ) PDF ( 398KB ) ( ) 　　
Aim at the NCS with data packet dropout and network-induced time delay, a new modeling method was proposed. With data-packet dropouts rate constant, according to information vary which controller update, two different schemes were adopted. Two models of asynchronours dynamical system of NCS were set up respectively, and sufficient conditions for the exponentially stability of the two different closed NCS models were derived.  Simulation examples were given to illustrate the validity of the results.
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Intelligent Network Control System of WDM Equipment Based on CAN Bus
YAO Xiao-feng, YUAN Ai-jin
2007, 20 (3): 113-116.
Abstract ( ) PDF ( 935KB ) ( ) 　　
An intelligent network control system of water dynamic model (WDM) equipment based on CAN bus was designed according to the technical requirement. The system can well collect and manage the data of industrial field, and control in real time, solve the exactitude of medicament quantity. The system architecture was emphasizing introduced, the design method of hardware and software, and the mode of network communication were expatiated in detail. The system has friendly interface, safe and reliable communication.
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