Applied Mechanics and Materials Vols. 427-429

Abstract: This paper introduces the principle of digital signature algorithm MD5, focused on the calculation phase of the algorithm, the algorithm structure iteration of the loop, and to optimize its calculation phase, and given FPGA design icon, the experiment can be drawn based on FPGA with less resource, fast implementation of the MD5 algorithm. The hardware implementation of the MD5 hash algorithm HMACs build encryption accelerator which has some practical value.

Abstract: In target tracking using the passive infrared sensors, the principle of triangulation distance measurement is normally used as the basic method. However, when the target directions are nearly collinear relative to the baseline, this method merely based on EKF and angle measurements produces poor results. To solve this problem, we propose a target tracking solution based on dual infrared sensors in the cluttered environment. This method is a joint estimation algorithm of target motion state and atmospheric parameter such as the extinction coefficient. The method combines the probability data association algorithm with the augmented extended Kalman filter algorithm, into which we introduce the rate of infrared energy absorbed by the sensors at the ends of the baseline as additional measurement vector. Simulation results show that the proposed method performs better than the standard extended Kalman filter method, even in the case that the targets position is near the baseline in the cluttered environment.

Abstract: This paper presents a multi-mode intelligent controller based on the schema theory by analyzing AGV steering control strategy, and selects the corresponding control algorithm through the characteristic identification results. The steering control model of V-AGV is built by Human-simulated Intelligent Control based on the sensory-motor schema. The simulation and experiment results show that the AGV runs well in the structure environment, and the model is open and universal application in the unstructured environment.

Abstract: A temperature testing system based on zigbee is designed in this paper. The whole system uses CC2430 RFIC as the core component. The hardware structure and software process of temperature testing terminal and coordinator are proposed. The test indicates that this system has fine performance and strong application value.

Abstract: An accurate state-of-charge (SOC) estimation of the hybrid electric vehicle (HEV) and electric vehicle (EV) battery pack is a difficult task to be performed online in a vehicle because of the noisy and low accurate measurements and the wide operating conditions in which the vehicle battery can operate. A Sigma-points Kalman Filters (SPKF) algorithm based on an improved Lithium battery cell model to estimate the SOC of a Lithium battery cell is proposed in this paper. The simulation and experiment results show the effectiveness and ease of implementation of the proposed technique.

Abstract: Power cables are increasingly popular in daily life and industrial production. The long-term use will make various cable faults. To reduce the losses caused by the faults, the cable faults should be recognized correctly and timely. In this paper, we developed an improved particle swarm optimization and support vector machine (IPSO-SVM) algorithm to recognize the power cable faults. The algorithm used the improved PSO to optimize the SVM kernel function parameter and the penalty parameter simultaneously. Two advantages were illustrated by the simulation experiments. The first one is the recognition accuracy which was increased from 81.8% to 90.9%; the second advantage is the SVM training time which decreased from 0.0247 second to 0.0202 second.

Abstract: When a fault appeared in a power cable transmission line, the transient current with high frequencies would be produced in the system. Three independent mode components could be obtained by applying the phase mode transformation to the transient current. For different types of the faults, the three independent mode components have different features. Based on wavelet energy spectrum of mode components, a method for cable fault recognition is developed in this paper. First, the fault current is decomposed by using Karenbaue transformation matrix. Then, wavelet transformation is uses to obtain the coefficients of the high frequency components which reflect the original signal high frequency energy. Finally, based on the wavelet energy spectrum method and the detailed coefficient manipulation, the equivalent norms of the mode components are obtained. Compared with the traditional fault recognition method, the new method depends less on zero mode component in two-phase short to ground state, and it can recognize the fault class in the cases of different fault positions, different fault path resistances and different inception angles.

Abstract: In this paper a sliding mode controller was designed to calculate the target yaw moment for model tracking control and a fuzzy controller was used to real-timely determine the activation of the algorithm, which ensures the robustness of the control system, while avoiding chattering and undesired intervention of ESP at the same time. After testing the control algorithm on the HIL test bench in double-lane change condition, a comparison was made between the trajectories and handling stability of vehicles with the control algorithm and those without. The simulation and experimental results demonstrate that the designed control algorithm can effectively improve the stability of the vehicle.

Abstract: By combination with the general structure characteristics of the distributed control system and the technical specifications of CAN bus, this paper puts forward, designs a FDCS model control system for sewage treatment based on CAN bus and establishes mathematic model for dissolved oxygen (DO) and pH value in the oxidation ditch. It also designs two self-adaptive algorithms of the model and performs digital simulation of the control algorithms.

Abstract: Currently monitoring of flammable gas mainly depends on some single function, low sensitivity or expensive detection devices. For this reason, a flammable gas monitoring sensed system based on combining ZigBee technique and WiFi technique solution is introduced in this paper. In the system design CC2530 is used as the master centre processing unit and the star topology is put into use to complete the data collection and transmission solution. By choosing the convenient WiFi chip, the data can be uploaded via WiFi protocol, and used for data statistics or security monitoring or other purposes. The experience shows that the system performance is stable and reliable.