Applied Mechanics and Materials Vols. 411-414

Abstract: This article puts forward a simplified method of the doubly-fed induction generator (DFIG for short) model innovatively based on the DFIG control principle. This paper establishes two different degrees of simplification models with equivalence of the converter model and the generator model respectively, and compares the operating performance of each model under the same operating condition. The simulation results show that, the two simplified models have high accuracy, and speed up the simulation efficiency effectively, which is suitable for the study of large-scale wind power generation in power system.

Abstract: This paper presents an overview of the development of an innovative unmanned aerial vehicle (UAV) - spherical aerial vehicle. This spherical aerial vehicle has an obvious advantage of both flying in the sky and running on the ground. This new concept and structure increases the robots locomotion effectiveness and efficiency. Its unique structure is designed in detail. The movement modes of spherical aerial vehicle flying modes and rolling modes - are presented concretely. In order to achieve its rolling function, the device parameters of spherical aerial vehicle were analyzed and designed.

Abstract: The last few years, most of the western generating companies are investing a lot of money on projects related to alternative energy, including renewable energy sources (RES). Russia is also interested in the development of such projects. This is due to the fact that only 30-35% of the area covered by Russian Unified Energy System (UES), the rest is serviced by power plants operating in standalone mode, or local power systems [. For these areas the development of renewable energy is the most promising.

Abstract: Based on the fourth-generation GIS technology and 3D visualization technology, using the object-oriented programming language Visual C++ as development tools, in the Windows operating platform, developed a Digital Ventilation System of Mine, and applied to the actual mine. Applications show that the system has a powerful analysis capabilities and 3D information processing functions, can be a true reflection of the actual state of mine ventilation, which can be provide an intuitive, timely and reliable information for the day-to-day management of mine ventilation.

Abstract: A new type of proportion cycle temperature control algorithm is proposed in this paper. Controller can automatically identify temperature constant related to the heater power, combined with the real time environmental temperature change, dynamically modify the heating and cooling time, controlled volatility in setting temperature range.When the mutant short time ambient temperature occurs, it can make rapid response, so as to achieve better control effect.

Abstract: This paper analyzes the process and control of nanohydrogen storage alloy strip rolling. We design a nonlinear model of rolling mill, use the neural network control scheme, and we adopt the rolling process of mathematical modeling, and use the model of the mathematical method in quantitative analysis. Finally, we use the system of computer simulation, at the end we draw the following conclusions. In strip rolling process, using a neural network system for control, far superior to the introduction of PI control, not only solved the rolling process with variable delay and variable gain and other shortcomings, and that the hydrogen storage alloy electrochemical performance was improved, the production process to ensure the high quality of hydrogen storage alloy, reducing energy consumption, saving raw materials, reduce the labor intensity of operating staff is of great significance.

Abstract: A nonlocal-gradient elasticity beam model with two independent gradient coefficients based on the classical nonlocal elasticity theory and strain gradient theory is used to study dynamic analysis of electrostatically actuated nanobeams. The numerical results show that the deflection response and frequency response of nanobeams are all affected by the small scale. And the two independent gradient coefficients play the different roles in it. This paper broadens the way of studying scale effect.

Abstract: The quantity and damage degree caused by the traffic accidents on trunk highways always take the big part in the highway traffic accidents. Now, there are no more and complete evaluation methods for the trunk highway traffic safety. Whats more, the index system is not perfect. Based on the characters of traffic safety on trunk highways and feasible factors of information collection, this article confirms 3-level evaluation index system for 20 evaluation indexes and the evaluation methods for trunk highway traffic safety based on AHP. Taking Xiake Blvd of Jiangyin City as example, this article analyzes and proves the efficiency and feasibility of these methods. The evaluation results can provide the basis for the improvement of highway traffic safety.

Abstract: The paper introduces the Multi-parameter Multi-objective Algorithm, it be used to apply a logistics management project of the China National Natural Science Foundation. This paper from the two math problems TSP and VRP talked about, and then introduces the two different algorithm and feature; the former is the ant colony algorithm in modern intelligent bionics using it to solve the TSP, latter is its improved algorithm, Multi-parameter Multi-objective Algorithm, using it to solve the VRP. The "bionic computing intelligent logistics management system" is based on this Algorithm. Later it introduces how to adopt different working process oriented, handle customer request, in the management system, the differences between the original algorithm and the evolution algorithm.

Abstract: The Dempster-Shafer (D-S) evidence theory is an effective method for uncertain information fusion. Because multiple evidences from different sources of different importance or reliability in the reassembling fractured 3D objects are not equally important when they are combined. This paper presents a social cognitive optimization algorithm (SCO) to generate optimal evidence weight values based on historical training data. In the algorithm, a constrained nonlinear optimized model is established, which is solved by SCO. Compared with the two methods, optimization weight D-S proves more effective than the traditional D-S.