Applied Mechanics and Materials Vol. 274

Abstract: Lane model, lane geometric structure calculation, and vehicle deviation angle and position calculation is a crucial part in automatic drive of intelligent vehicle. In this paper, we introduce a lane model and calculation equations of lane geometric structure and vehicle deviation angle and position in lane. Firstly, we establish the world coordinate system and derive the lane boundary equation based on the actual lane alignment. Secondly, we derive the lane boundary equation in the camera coordinate system through the coordinate transformation. Then we build up the image coordinate system and the pixel coordinate system and derive the lane projective parameter model. Finally, we derive the calculation equations of lane geometric structure and vehicle deviation angle and position in lane. For we introduce the camera roll angle, the lane curvature change rate, and the reasonable assumption in the derivation, the lane model and the calculation are more general and accurate.

Abstract: With the rapid development of gear, gear measurement accuracy must meet the actual demand. For this problem, through the analysis of the characteristics of gear measuring center and the accuracy requirements, using direct drive technology, a direct drive control system of gear measuring center based on Turbo PMAC2 motion controller is proposed. After testing this system, the experiment shows that direct drive technology for gear measuring center can realize good positioning accuracy, and the measurement accuracy is improved.

Abstract: For PHEV energy management, in this paper the author proposed an EMS is that based on the optimization of fuzzy logic control strategy. Because the membership functions of FLC and fuzzy rule base were obtained by the experience of experts or by designers through the experiment analysis, they could not make the FLC get the optimization results. Therefore, the author used genetic algorithm to optimize the membership functions of the FLC to further improve the vehicle performance. Finally, simulated and analyzed by using the electric vehicle software ADVISOR, the results indicated that the proposed strategy could easily control the engine and motor, ensured the balance between battery charge and discharge and as compared with electric assist control strategy, fuel consumption and exhaust emissions have also been reduced to less than 43.84%.

Abstract: The detection of automotive combination dashboard is usually implemented by adopting the specific detection system matched with models, and automotive combination dashboard of different models requires different detection systems. A universal automatic detection system is designed in this paper, which can detect different kinds and models of automotive combination dashboard. First, standard detection signal generated by the electronic control unit is added to every corresponding position of dashboard, second, cameras film the corresponding images of dashboard in the standard signal excitation, last, the image is sent to the host computer for image processing to get output data of dashboard. This system detects results of automotive combination dashboard with the maximum relative error less than 2.5%, which meets the specified accuracy requirements in the automotive industrial standard QC/T727-2007 “Instruments for Motor Vehicles and Motorcycles”

Abstract: The mapping between influence factors of gas well pipe of high pressure & high temperature & high H2S and parameter collection is established in this paper. The index set is then formed by the collection and is transformed into fuzz collection later. And fuzz cluster model of gas well pipe is discussed based on that. The fuzz cluster model is the foundation to predict residual life of gas well pipe. The model is valuable both in theory and practice.

Abstract: Abstract. Shallow parsing is a new strategy of language processing in the domain of natural language processing recently years. It is not focus on the obtaining of the full parsing tree but requiring of the recognition of some simple composition of some structure. It separated parsing into two subtasks: one is the recognition and analysis of chunks the other is the analysis of relationships among chunks. In this essay, some applied technology of shallow parsing is introduced and a new method of it is experimented.

Abstract: In this paper, the design of BLDCM fuzzy control system for electric vehicle which bases on TMS320F2812 Digital Signal Processor (DSP) is given. The design methods of hardware and software of the control system are described in details. Using of brushless DC motor current and speed double closed loop control, meanwhile, the fuzzy self-tuning PI algorithm is applied in the control system, and achieve the intelligent control of brushless DC motor control system. In this paper, the PWM control of the overlapping commutation method to suppress torque ripple. Experimental results show that this system has such characteristics as sound controlling effects, obvious restrain of torque pulsation and reliable operation.

Abstract: For the shortcomings of the torque ripple of switched reluctance motor (SRM), this paper presents a strategy of controlling switched reluctance motor drive (SRD) with fuzzy sliding mode controller. The speed loop uses the conventional PI regulator, and the current loop adopts the fuzzy sliding mode controller which takes the current deviation as switching function and combines with fuzzy reasoning to determine the value of switching gain. The fuzzy sliding mode controller will realize the precise current control and enhance the stability of the system. The simulation results show that the system can suppress the torque ripple effectively and realize high-performance SRD control.

Abstract: According to the suffered various impacts and vibrations of traction driving part in high-speed train under complex operating environments and conditions, the modal problems in the rotor of traction motor, power output device in traction transmission system, working in high-speed trains is investigated. In this paper, a Finite Element Analysis model for rotor modal simulation research is established, by using which the influences of structure parts on motor natural frequency is analyzed. From the simulation analysis, the natural frequencies, the vibration mode and the amplitude of each order modes are obtained, which could provide a theoretical basis for the rapid, stable and safety operation of high-speed trains.

Abstract: Inflatable pipe is an important part of the tokamak's experimental device. This paper first introduces the composition, functions and working mode of the inflatable pipe. Then it's based on the fluid dynamics to establish model of the inflatable pipeline and the nodes. Finally, using the finite volume method to complete a numerical analysis of gas flow in the tokamak's pipeline. The results show that, if it needs to get the gas flow of the H2 that is 400 Pa•m3/s at the valve in the Pipeline, it needs to set the value of the inlet pressure that is 1.5 bar. The larger diameter of the pipeline, the more increase rate of gas flow in the pipeline.