Earticle

The Department of Heavy NC machine tool is a complex structure. The working performance of the machine has the very big impact. The machine tool of influence is very important. In this paper the bolt combined with sub structure of Heavy NC machine tool as the research object, the. In conjunction with the Ministry of the virtual medium dynamics model method to establish the combination of fixed bolt. In this paper the bolt joint of Heavy NC machine tool as the research object. Combination of bolts binding kinetics model is established by using the virtual medium method The parameters change the dynamics of model, the influence of bolt pretightening force, tool materials and processing, has been part of the characteristics and rule of machine tool joint.

Recently, car makers and the governmental agencies make a greater investment in and efforts to develope the application technologies for "Advanced Safety Vehicle" than ever, it is very necessary to verify each of algorithms applied to the core ECUs as existing cars have rapidly evolved into sophisticated assembles of computer devices equiped with tens of ECUs while geared with high-tech IT technologies. Therefore, this study developed a verification logging system for the electronic control algorithm of a lane keeping assistance system camera. The developed system can not only acquire the lane information of a road through the camera, but also analyze such information and adjust a vehicle automatically through controlling the control board.

This paper investigates the uniqueness and globally uniformly asymptotic stability for a class of memristor-based recurrent neural networks with time-varying delays. By employing a homeomorphism and suitable Lyapunov functional and differential condition, a sufficient conclusion for the uniqueness and globally uniformly asymptotic stability of a class of memristor-based recurrent neural networks is attained. Comparing with the previous corresponding results, we can derive that our results are new and improve the previous result reported on global uniform asymptotic stability. Two illustrative examples are given to demonstrate the applicability and advantages of our result.

In this paper, we take two-wheeled self-balancing robot as the experimental object, designing an advanced controller which not only solves the defect of the over-reliance on precise mathematical model for modern control theory, but also solves the problem of complex handling issues of the fuzzy controller under multi input and multi output situation. The designing idea is: firstly, a fusion function is gained through the feedback matrix by LQR method; the fusion function is adopted to reduce the input dimensions of the fuzzy controller, thus to control the system. Secondly, due to the quantization factor and proportional factor of fuzzy control are mainly obtained by experience, we use particle swarm algorithm to optimize the quantization factor and scaling factor of fuzzy controller in order to get an ideal control effect. Thirdly, constructing two fusion functions to fuse the six dimensional input variables from the robot, which solve the existence error between the designed decoupler from theoretical calculation and the actual situation of the system, also solve the difficulties through decouper designing. Finally, proving the validity of the control strategy through the simulation and real-time control, it shares a good theoretical and practical significance.

In this paper, we present a model for the noise in narrow-band power line communication. We first derive a statistic model for the distribution of noise in a narrowband power line. The noise consists of three parts such as impulse noise, background noise, and narrow-band interference. For each part, we analyze its characteristics with the Markov Chain Monte Carlo (MCMC) method. The model is evaluated with extensive field measurement data and compared with a classical noise model. The evaluation results show that the proposed model can approximate the noise in narrow-band power line more accurately.

Owing to the intensive computation of kinematics module in the real-time control of the industrial robot, this paper sets the six-joint industrial robot as research object and establishes forward and inverse kinematics equations based on the D-H coordinate system. Then，an algorithm of searching the proper inverse kinematic solutions was presented based on the characteristics of the solutions and the geometric structure of the robot. The proposed algorithm control position and orientation comprehensively in the Cartesian coordinate space and gives speed-related Jacobian matrix. The algorithm is simulated on the MATLB and applied to a 6R manipulator in the laboratory to verify the effectiveness. The results indicate that the algorithm can make the robotic joints move smoothly, avoid mutation and have a higher accuracy and running stability.

Shading of PV panel is inevitable, this greatly reduces the power generated from the PV module. In the proposed idea, switches connecting the PV modules changes the connections periodically. As the connecting pattern of the PV module changes the shading is cornered and thus the power is enhanced .Using this idea we can go for any size of the PV module. Results are obtained with different shading environment of PV module and it is proved that the dynamic switching technic is superior that the existing types.

With the rapid development of urban traffics, recently many big cities have established lots of modern traffic networks extended in all directions, but there are still some severe problems caused by traffic congestions and traffic accidents. So for improving these unsatisfactory states in the urban traffic, inspired by the immune cooperative phenomenon from the biologics, firstly the regional traffic cooperative objective function is purposefully constructed, then special immune cooperative optimization schemes for urban regional traffics are particularly designed and discussed based on dynamic sub-area priorities and niche techniques, and at last some traffic state data are elaborately analyzed and verified in a simulation, thereby this research may be very helpful for promoting the regional traffic travel capacity and improving the adaptation to the dynamic urban traffic tasks.

To solve the problem of bearingless induction motor’ unbalance vibration that is caused by rotor mass eccentricity, the generation mechanisms of unbalanced exciting force and unbalanced vibration displacement are analyzed firstly. Then, the extraction method of unbalanced radial displacement based on LMS algorithm is presented, and the compensation strategy of unbalanced exciting force is researched. By real-time regulation and calculation, the compensation forces of unbalanced vibration and unilateral magnetic pull are achieved, and the impacts of unbalanced exciting force and unilateral magnetic pull are compensated. Simulation results of the unbalance vibration control system have shown that the amplitude of unbalance vibration can be greatly inhibited, and the suspension control precision of bearingless rotor can be improved greatly.

This paper represents a solution for avoiding a common hurdle of harvesting ocean energy using Oscillating Water Column that, though being an efficient technology OWC based harvesters often suffers from performance disruption due to rough sea weather. The solution reveals an idea for a completely closed, double chambered, half water filled oscillating water column with two bidirectional air turbines inside, which shows efficient performance in the bad weather condition as well as in general. The system has the unique feature that, it produces electric power without any interaction with outside ocean water or atmospheric pressure and having a simple, closed structure that can be build using the lower vessel type part of any old ship or boat, adds extra facilities like cost effectiveness and less maintenance effort. Offshore ocean environment monitoring wireless sensor network or floating projects like fish farm can use this system for powering the sensor nodes used for measuring temperature, ph buffer, salinity.

This study is devoted to overcome the underflow problem and poorly cost-effective limitation of model-set adaptive IMM algorithm. Cause of underflow problem in Novel-IMM is addressed firstly, based on which an underflow prevented selection probabilities (UPSP) algorithm is presented to solve this problem. This paper then presents a fast model-set adaptive (FAIMM) IMM algorithm based on steady state Kalman filters that decrease the computational burden greatly while keeping acceptable tracking accuracy. Finally, the threshold choosing strategy of UPSP algorithm is presented, which could make the FAIMM algorithm achieves ideal performance. Simulation results demonstrate that the FAIMM algorithm can be an effective estimator in real-time application.

This paper investigate the NP-hard absolute value equation (AVE) Ax - |x| = b, where A is an arbitrary square matrix whose singular values exceed one. The significance of the absolute value equation arises from the fact that linear programs, quadratic programs, bimatrix games and other problems can all be reduced to the linear complementarity problem that in turn is equivalent to the absolute value equation. This paper present a new smoothing function to the AVE. Based on this function, a smoothing Newton method is proposed for solving the AVE under the less stringent condition that the singular values of A exceed 1. The global convergence of the method is established under appropriate conditions. Preliminary numerical results indicate that this method is promising.

There is a growing need for intelligent energy-efficient control of air conditioning systems. Traditional PID controlling structure is not appropriate for modern energy efficiency requirements and we need some intelligent procedure to compensate such control. Among many intelligent algorithms available, we propose an unsupervised fuzzy control of wind speed for ceiling type air conditioning systems with three variables - the temperature of the space, the humidity of the space, and the temperature of the walls that is affected by outside radiation heat. Temperature variables are represented as the form of color distribution images. The simulation result verifies that the proposed system shows only 47% consumption of electronic energy compared with two-variable control model without considering wall temperature.

The design and implementation of a steel plate mill is discussed together with the impact on the design of process models, available measurements, available control actuators and material properties. Rolling process is a high-speed system which requires high-speed control and communication capabilities. Meanwhile, it is also a typical complex electromechanical system and distributed control has become the mainstream of computer control system for rolling mill. A high-level software design approach provides the ability to make quick and accurate modifications to both control loops and tuning constants. Control loop strategies and theoretical concepts of steel plate rolling are discussed. Performance results achieved during the startup of a steel plate mill are included.

This paper focuses on the multipath interference by an obstruction or rough terrain is studied. The detriment of Glide path information to an aircraft that is approaching the airport with a precision ILS (Instrument Landing System) landing is due to the wrong siting. Terrain irregularity or roughness is the worst and most common glide slope siting deficiency. The degrading effect of rough terrain results from the random dispersion and/or phase shift of ground plane signal. In order to study the possibility of glide path signal interference, the new site that is under construction a big apartment complex and 3km distance away from glide path antenna is selected as a representative model in domestic airport. In the study, computerized simulation technic is employed to predict the probable reflected energy caused by the multipath conditions from antenna, obstructions and siting criteria. This study suggests the solution of a similar case through this analysis method.

Simulation speed is a noteworthy issue in the simulation of continuous system. Although previous research has to some extent obtained some achievements, it is still very slow for complex system simulation. A schematic diagram is formulated to describe and analyze the simulation process of continuous system in SimPowerSystems environment. Three simulation methods are proposed based on different ways of discretization mathematical model, namely continuous method, discrete method and hybrid method, and their implementation approaches are presented as well. Meanwhile, the characteristics of modules in Simulink and SimPowerSystems are also studied. Simulation performance of three methods are illustrated by theory analysis and case verification, the results show that discrete method can obviously improve simulation speed. And when sampling time is 5us, discrete method meets precision requirement generally. It has important significance for the simulation of large system.

The integration of Inertial Navigation System (INS) and Global Positioning System (GPS) can produce accurate results if four or more GPS satellites are tracked. However, in GPS attenuated signal environment the errors of a low accuracy MEMS/GPS system rapidly grow to the unacceptable level. A tightly coupled integration scheme is utilized to improve the performance and reliability of the low accuracy integrated system in the areas such as tunnels, tall buildings, urban canyon, and forest canopy. This model is capable to detect the GPS fault and to track the errors of the integrated system even when less than four satellites are being tracked. Practically in INS/GPS integration, the system noises are not known correctly. Therefore, an Adaptive Kalman filter is proposed to merge the data of the two systems accurately. The algorithms are tested using the real data of MEMS-IMU (STIM300) and a single frequency NovAtel GPS receiver for land navigations. The integration results indicate a significant improvement in the accuracy of attitude, velocity and position parameters. Moreover, gyro drift which is the main source of errors in INS parameters is significantly reduced.

The design of robust guaranteed cost nonlinear controller is studied for a class of timedelay nonlinear systems with norm-bound time-varying uncertainties. By means of Lyapunov functional and linear matrix inequality (LMIs) technique, a sufficient condition of H∞ robust stabilization which satisfies guaranteed cost index is obtained for the systems. Furthermore, the state feedback nonlinear controller of the systems is given in terms of the feasible solutions of LMIs. Finally, an illustrative example shows the effectiveness of the proposed method.

According to the usage features of the shared devices in IIU federated cloud, the commercialized processing of these devices is conducted. With the consideration of the price mechanism and supply-demand mechanism in sharing process, as well as the commodity remaining rate and the device usage conditions in transaction procedure, a dynamic pricing strategy of the commodities in federated cloud market is proposed. The strategy allows a small amount of commodities to be left in the market to avoid being in short supply. The device utilization rate at non-working time is increased through discount on commodities. The simulation results demonstrate that the sharing of equipment resource is improved by the proposed strategy, bring about a raise of device utilization rate.

A broadband MIMO antenna, using the metal cover which is one of the antenna radiators, is designed and implemented on the PCB. The antenna consists of a monopole and an IFA that is fed by the coupling structure and a metal cover radiator. Therefore, a monopole and an IFA with a metal cover radiator operate simultaneously through a hybrid form of operation. The proposed antenna satisfies VSWR 3:1(S-parameter -6dB) at the bands of LTE class 12 ~ 14, class 17, CDMA, GSM900, DCS, KPCS, USPCS, WCDMA, LTE class 40 and WiFi. The maximum ECC is 0.186 over the desire bands. The average gain and efficiency were measured from -5.14~-1.28dBi and 30.87~74.48%, respectively.

The observation and forecasting of vessel traffic flow is the foundmental of design for ships’ routeing system. An integrated Genetic Algorithm (GA) based Support Vector Machine (SVM) model for vessel traffic flow forecasting with input factors selection procession is presented in this paper. GA based SVM forecasting model is established whose parameters were optimized through genetic algorithms. Finally, the prediction model is used for ningbo-zhoushan port and the prediction result shows that the improved model reflects the actual growth of vessel traffic flow trend more reasonable and effectively.

Genetic algorithm was used to identify the damage of frame structure. Stiffness coefficient damage factor is selected as design variable, and the weighted array difference value between inherent frequency and vibration mode of structure calculated and measured. According to the difficulty in selecting crossover rate and mutational rate for fundamental algorithm, the process of selection operator, crossover operator and mutation operator was improved. All operators were operated on parent individual. Crossover rate and mutational rate were set for 100%. Punishment function was applied for keeping the difference among individuals. The improved genetic algorithm can conserve the better individual in parent and keep off fall into local optimum. Through a 3-story frame with single variable damage and multiple variables damage study, the results showed that the improved genetic algorithm can identify the damage location and degree.

In this paper, we present an ensemble framework with hierarchical and feedback mechanism for object detection. The proposed method is mainly composed of three phases: coarse detection, fine detection and tracking filter. In coarse detection, moving foreground can be rapidly extracted by improved ViBe background subtraction algorithm. FPDW as a fine detector scans the foreground image area, not entire the image, to determine the precise location and the number of targets. In the tracking filter, the detection results are processed to generate trajectories by the Kalman filter. And the current and the next status of the pixel is fed back from the former phases. For assessment of the effectiveness, we implement the proposed framework into pedestrian counting method. Several experiments are carried out based on the benchmark datasets. Experiment results show that the ensemble framework can achieve better detection results and real-time execution in comparison with other the state-of-art methods.

Since the model of hypersonic missile cannot be built accurately and it can change unpredictably, traditional design method is not very effective. A synchronizing control method is introduced in this paper. A synchronizing system that has the similar structures with the controlled system is constructed, then a control law is design to make the synchronizing system trace the controlled system. So the controlled system can be controlled by controlling the synchronizing system. Finally, detailed numerical simulation was done and it showed that the synchronous control method is proved to be more effective than PID control method.

This paper combines traveling wave distance measuring principle with the wavelet transform and applies it to the detection and localization of power system short-circuit fault to avoid the severity and multiple of line short-circuit fault. Firstly, according to the current or voltage traveling wave signals detected by traveling wave detection devices put on the bus bar ends, we take traveling wave distance measuring principle as the theoretical basis to extract signals. Then, using wavelet transform to process the signal in order to extract the singular points. Also, traveling wave fault location is established by using B-type double-terminal traveling wave fault location algorithm. Finally, in order to locate the fault precisely and make simulation on different fault types and different sampling frequencies to come to a conclusion, we make wavelet transform of the transient fault signals and make further simulation about the location of single-phase grounding fault.

Virtually all control systems nowadays perform various behavioral aspects such as discrete control mode transformation and continuous real time behavior. The interaction of these different types of dynamics and information leads to a lot of safety and control problems. In this paper, to verify these systems we propose a specification model combining interface automata, initialized multirate hybrid automata and Z language, named MZIA. This model can be used to describe temporal properties, hybrid properties, and data properties of hybrid software/hardware complements. And then, we propose a temporal logic for MZIA. Next, considering the measuring errors of real-numbered variables in practice, we study the approximated model checking method of MZIA. Finally, an example is given to indicate that this method is feasible and effective.

The key device of power supply for ozone production process with DBD can cause the distortion of voltage and current and seriously affect the input power measurement and control. This paper presents a power measurement method based on quasi-synchronous algorithms for ozone production process with DBD and designs the power control strategy based on the load frequency tracking phase shift PWM mode. The experimental results show that the accuracy of power measurement can reach 0.3% and the accuracy of power control can reach 5%.

In view of the drunk driving traffic accidents caused the frequent problems, proposed drunk driving automatic detection system. The system makes use of internet of things technology, take A STC12C5A16AD single chip as the core, through four MQ-3 alcohol sensors to detection to determine whether alcohol drunk driving. When the system detects alcohol concentration which exceed the standard, the system sends out sound and light alarm and prohibited to start the car, at the same time, the GPRS module can locate the car’s position, then the information can be sent to driver’s relative and traffic control department through GPRS module. The experimental results show that, the system can effectively prevent drunk driving and has very good practical.

The Karnaugh map popularly known as the K-map is a method to simplify a given Boolean expression. The Karnaugh Map (K-Map) based technique breaks down beyond six variable. Telecommunication engineer at Bells lab Maurice Karnaugh refined the works of Edward Veitch ad created these k maps. The results are transferred from truth table to the rectangular grid numbering of cells is done according to a special code called Gray code and then assigning the 0s & 1s to the cells of the grids. After that Recognition of the pattern of collecting most number of entries starts. Now write the minimal expression for the required truth table. With the help of k maps one can get a rapid overview of interdisciplinary field in a short time.

The shortest routing problem is the key to the efficiency of routing in Wireless Sensor Network .This paper aimed at the problem of no obtaining the real-time shortest routing and the poor adaptability of the large-scale wireless sensor network, which is caused by considering adequately the network topology in those present shortest routing algorithms, simulating water diffusion, puts forward a shortest route algorithm of WSN. In the diffusion process, water waves gradually expand to the surrounding, and iterate over all the area, the region is treated as the network which consists of a large number of nodes and arcs. The algorithm simulates the spread of the wave movement through multiply operation, and emulates the single coverage of water wave through die operation, then simulates the motion law of the real water wave using the substitution operation, it can avoid the dead diffusion zone by overlapping operation, achieve full traversal and determine the shortest route according to the arrived wave information of each node recorded in a shortest period of time. Meanwhile, the algorithm's time complexity and space complexity are analyzed in the paper, and concluded that the time complexity of the algorithm is linear change along with the square of the node number, the space complexity is linear change along with the node number in the worst case. Experiments show that the performance of the algorithm is superior to existing shortest route algorithms in most application cases.