Advanced Materials Research Vols. 562-564

Abstract: The control system of third generation leveler has introduced the intelligent models system, knowledge base system, self-learning system and other advanced technologies. Among them, the intelligent model system and knowledge base system is a core of leveler process setting system, and they determine the advanced level of leveler control system. As an original material information database of intelligent model system, the knowledge base system can provide basic parameters for the model operation and assist the process model to complete the setting of parameters. These provide a prerequisite for achieving automatic straightening of leveler. As the core of leveler control system, the knowledge base system contains lots of modules, such as knowledge base module, data management module, self-learning module and so on. By these modules, the system can achieve storage, management, self-learning and other functions for original information of plate. The leveler adopts DCS and OPC technology to achieve the control and communication of the whole system. In addition, using Oracle10G database and HP380 server clusters can achieve the storage and management function for knowledge base date.

Abstract: In this paper, PC9S12XS128 MCU produced by Freescale Semiconductor Co., Ltd is used as the core control unit to designed a intelligent vehicle, which can be free to follow the line of travel. The main control system including motor drive module, server drive module, the path identification module, power module, etc..Through compare a variety of hardware control program, use the best program to take control of car model’s speed and direction. Experimental results show that the intelligent vehicle designed can antomatic driving on the path of human plan accuracy.

Abstract: This paper presents a structural shape optimization algorithm based on the evolutionary structural optimization (ESO) method in conjunction with element error estimate and adaptive FEM. B-splines are used to describe the boundary of the design domain; the shape of these B-splines is governed by a set of master nodes which can be taken as the design variables. The optimal shape of the design boundary with constant stress is achieved iteratively by the movement and update of the position of the master nodes based on nodal stress leveling. The result quality, in terms of accuracy and efficiency, is tested and discussed with an analytical solution.

Abstract: With the benefits to improve productivity and reduce operation cost, RFID (Radio Frequency Identification) has recently seen a great increase in a wide variety of business information systems. However, the downside in business applications is the problem caused by data security and privacy. Enhancement without extra costs in RFID identification poses new challenges to privacy and security in RFID-driven just-in-time business information systems. In this paper, we propose an unilateral randomly authentication protocol on the basis of one-way hash function for low-cost RFID tags. We illustrate the whole operating procedure of the proposed protocol in a typical RFID system. Experimental results show that the proposed protocol has some security improvements in data consistency and can work against some attacks like eavesdropping and DoS, compared with several existing methods.

Abstract: The immersive feeling brought by virtual roaming system easily causes the user to got lost in it. In order not to lose direction in a three-dimensional virtual environment, usually a 2D map and the real-time current location of the user are provided so that the user can know his location in the 3D virtual environment action to take for the next step. However, since the parameter transformation is difficult to understand, the technology in virtual system of roaming is limited to use and promotion. This article analyzes the principle of 2D map and suggests the way to realize it based on Virtools. Special explanation is given to how to convert data in the three-dimensional coordinate to the 2D coordinate and the mapping relationship between the direction of the three-dimensional space and the direction of the two-dimensional maps.

Abstract: The fluidized bed is a complex system with a big lag, time-varying and non-linear. The conventional-PID methods are simple, practical, and high reliability. However, choosing and adjusting PID parameters rely on manual way. It is difficult to choose appropriate values when temperature requirement is higher. Inappropriate values may cause large overshoot and low control precision. Thus, in order to obtain more accurate and rapid PID control parameters and to avoid errors caused by human factors, the fuzzy control and PID algorithm were applied to the fluidized bed furnace temperature control system. The Fuzzy-PID controller was designed and the three PID parameters' self-tuning was realized. Simultaneously, the upper computer and the lower computer were designed. The lower computer mainly completed temperature measurement and adjustment functions. The collected temperature was transferred back to the upper computer at regular intervals. The upper computer was designed by virtual instrument technology. Practical operation shows that the temperature variation is below 0.3 when heating oven is in stable state and is close to the ideal PID response curve, which meets the average requirements of the fluidized bed heating oven. As an advanced reactor, fluidized bed was widely used in industrial process such as combustion, gasification and catalytic cracking[1].As the temperature affect the gas product composition of the fluidized bed, so improving the furnace temperature utilizing the automatic control system is one of the important issues furnace. The fluidized bed heating oven is heated by resistance wire heating and cooled by natural cooling. The temperature control after the adjustment is slow. It is a complex system with a big lag, time-varying and non-linear. Currently, the conventional-PID methods were taken to control the fluidized bed heating oven's temperature. This method is simple, practical, and high reliability. However, choosing and adjusting PID parameter rely on manual way, it is difficult to choose an appropriate values .Inappropriate values may cause large overshoot and low control precision. Thus, in order to obtain more accurate and rapid PID control parameters and to avoid errors caused by human factors, the fuzzy control and PID algorithm are applied to the fluidized bed furnace temperature control system. The self-tuning fuzzy PID controller is designed. Compared with the outdated control methods, PC control is more flexible and even more long-range.

Abstract: Fault information is incomplete while using a single information domain fault feature parameters to construct fault feature vector, and demodulated resonance technique have to predetermine resonant frequency and fixed center frequency also has its shortcomings , in order to solve these problems, a new fault diagnosis method is proposed of adaptive demodulated resonance technique based on wavelet packet in multi-information domains. The fault feature vector extracted from multi- information domains is described, signal processing flow of envelope demodulation based on denoising and filtering of wavelet packet is analyzed, the fault diagnosis method of adaptive demodulated resonance technique based on wavelet packet is given, and the method is applied to fault diagnosis of axial piston hydraulic pump. Experiment results show that multi-domain feature vector increases the completeness of the fault information, it is able to obtain good diagnosis effect, and the new fault diagnosis method is able to identify known and unknown faults resonance frequency automatically, the frequency range is narrow, the rate of diagnosis is high.

Abstract: Based on the relationship between the motor torque of each side and electric current when the electric vehicle turns, this article puts forward a control scheme of electronic differential which is used to regulate current and control torque, according to the micro electric vehicle with a double-wheel motor driven. In addition, the article makes detailed analysis for the electronic differential control process.

Abstract: This paper presents a numerical simulation and experimental study on a solid-liquid hydrocyclone. In the simulation, the standard k-ε turbulence model and the zero-equation model are employed to compute the flow field of the two phases in the hydrocyclone under different conditions, such as viscosity of the liquid, particle size and flow rate. In the experiment, a hydrocyclone is manufactured and measured for the separation efficiency and pressure drop in the test system. The simulation result of hydrocyclone performance matches well with the experimental data.

Abstract: In this paper, the minimum control sets(MCS) problem was solved by means of DNA self-assemble. We constructed the three-dimensional (3D) DNA molecular tiles and seed configuration to self-assemble. The results show that DNA self-assembly is an effective and feasible method for solving NP problem.