Applied Mechanics and Materials Vols. 336-338

Abstract: In this paper, an extended traffic flow model which considers the strategy of the backward power cooperation is proposed by taking account of the power assist of the nearest rear car. The stability condition of the new model is derived by using the linear stability theory with finding that the power assist of the nearest rear car can stabilize the traffic flow and efficiently suppress traffic jams. Moreover, the modified Korteweg-de Vries (mKdV) equation is derived to describe the traffic density waves in the unstable region by using the reductive perturbation method and nonlinear analysis..

Abstract: The temperature prediction in blast furnace loses accuracy or Forecasts failure when the temperatures change is at normal levels and obvious. This paper introduces fuzzy membership of samples basing on support vector data description and the fuzzy least squares support vector machine to forecast the blast furnace temperature. Then the simulation was done by using the forecast samples and the model after training by MATLAB. Comparing the simulation results of LS-FSVM with LS-SVM, the model basing on LS-FSVM enhances anti-jamming ability. The accuracy of the temperature prediction in blast furnace promotes significantly when the temperature of blast furnace fluctuates.

Abstract: The Lagrange stability is a new concept in power system stability study. In this paper, an effective method based on quasi-periodic analysis has be presented to analyze the power system Lagrange stability. The Ensemble Empirical Mode Decomposition (EEMD) has be introduced to deal with the trajectory data of power system in the proposed approach. With the EEMD decomposition and linear transformation of the trajectory data, a special constant A can be accepted. If A equal to zero, the power system is Lagrange stable, otherwise the power system is not Lagrange stable. The simulation results show the correctness of the method.

Abstract: In this paper, we study the global Lagrange stability for delayed electric power systems. Based on the linear matrix inequality technique, the distinguishing principle and its approach of global Lagrange exponential stability for delayed electric power systems are introduced, which are easily verifiable and have a wider application range. Meanwhile, the estimation of the globally exponentially attractive set (i.e. stable region) is also given out. Finally, an example is given and analyzed to demonstrate our results.

Abstract: The electro-hydraulic servo system gradually processes toward the fast, high-power and high-precision direction. The traditional PID control needs to coordinate the contradiction between rapidity and stability, and cannot meet the system performance requirements in the case of parameter variations and external interference. Based on electro-hydraulic servo system structure and principles, system mathematical model was established, and Diagonal Recurrent Neural Network (DRNN)-based adaptive PID controller was designed and compared with positional PID control. The simulation results show that: DRNN adaptive PID control effect is superior to positional PID control, which can effectively improve the system dynamic and anti-interference performance, and has strong self-learning and adaptive capacity.

Abstract: In order to achieve efficient conversion of the chemical energy of fuel into the electrical energy, a novel opposed-piston four-stroke free-piston generator is developed in this paper by equipping one free-piston engine with two linear generators. Mathematical models of the opposed-piston four-stroke free-piston generator are created based on the kinetic equation of the free-piston motion, the state equation of the ideal gas, and an equivalent heat release function of the combustion process. Dynamical properties of the system are simulated and analyzed by using the created model, and results from the simulation are presented. According to the simulation, the new four-stroke free-piston generator can realize running without vibrations.

Abstract: The sensitivity function is applied to the VSC of the two-wheeled unstable vehicle in this paper. By pole placement of state feedback function we can conduct the sensitivity function of VSC. Analyzing the isokinetic approach law and quasi-sliding we can prove that compared to pole placement of state feedback control, the VSC not only has superiority in robustness for disturbance and internal perturbation, but also obtains more satisfactory dynamic performance.

Abstract: Decentralized control method of multi-uav arriving at the same time is a typical control problem. This paper considers the above problem and presents a decentralized control method. Considering the dynamics and uncertainty of the battlefront, and the feature of the uav, according to the different starting point, flying orientation, and distance, established the algorithm model of the velocity and direction of uav under the influence of wind, presenting a decentralize control method of multi-uav arriving at the same time under the influence of wind. Simulation results are presented to demonstrate the effectiveness, robustness, flexibility of the approach.

Abstract: Multi-Slide-Mode Control (MSMC) is proposed to decrease energy consumption for homing phase of automatic rendezvous and docking (AR&D). The energy consumption is an important target in homing phase. MSMC is developed from sliding mode control (SMC) and its advantage is energy saving. The switching function of MSMC is piecewise, which is named as multi-sliding-mode. The control system is simulated and the results show the control effects are in accord with prospects.

Abstract: By the influence of changes in ambient parameters and operating conditions and changing parameter values LDS is changing their properties (behavior), reflected also in changes in characteristics, it is also possible to formulate an opposite role: "To what extent can be changed system parameters, to reached its behavior (under certain criteria) remained preserved " The answer to this question deals with the task of determining allowable changes - tolerance parameters for the desired behavior. Criteria for the behavior may be different. We will build on the frequently used criteria for optimal module. Methodology makes use of computer simulation of classical mathematical analysis.