Applied Mechanics and Materials Vols. 651-653

Abstract: With the innovation of computer hardware technology and software technology, virtual simulation technology has been applied in various fields, including sports training and basketball teaching process. In this paper, the basketball technology actions optimization system is designed by using MATLAB virtual simulation method, and the initial signal calculus model of basketball technology actions is established by using wireless sensor signal transmission principle, and then using the trained neural network method carries on processing for the initial signal, combining the approximation degree of optimal training signal and original signal determine the validity and reliability of the simulation. Through the simulation, we finally get the optimization allocation effect of the number of neurons’ best basketball technology actions, which provides a new computer method for the exploration of basketball training new method.

Abstract: According to the fact that it need several tests to determine the size and motion parameters of the flapping-wing aircraft in the development processes, the paper proposed a design scheme of flapping wing system experimental platform. Separately from the scheme, the system platform, driving mechanism design, motion parameters change, described in detail the design and implementation of this innovation experiment platform. Users can simulate and debug the platform system to determine the performance of the flapping-wing mechanism.

Abstract: Actuator is one of the most important auxiliary mechanisms used to control the ship heading. Focused on the existed shortages of conventional hydraulic driven vessel actuator as complex structure, low efficiency and response etc, by the analysis of torque variation to access the impact of direct torque control and design an actuator used direct torque control of which is simple and easy to implement. Simulation results show that this scheme can reduce system without dynamic performance, low-speed operation to expand the scope of the system, reducing the torque ripple, while improving the low-speed torque of the motor.

Abstract: This paper presents a new rate-dependent model for piezoelectric actuators. The proposed method directly utilizes a modified rate-dependent Prandtl-Ishlinskii hysteresis model to characterize the hysteresis and frequency effect of piezoelectric Actuators quickly and efficiently. To identify the model parameters, the least square method is adopted. Based on the identified model parameters, the rate-dependent model for Piezoelectric Actuators is established. By comparing the rate-dependent model with the real output of the Piezoelectric Actuators, the result shows that the new rate-dependent model could characterizes the hysteresis and frequency effect of Piezoelectric Actuator, which clearly demonstrates the effectiveness of the proposed Rate-Dependent Prandtl-Ishlinskii Model.

Abstract: In this work, we propose a novel memristor chaotic circuit, which is composed of a current feedback op amp (CFOA) and a piecewise-linear memristor. The dynamic properties of the new circuit are demonstrated, such as system dissipation、equilibrium stability、phase portrait、Lyapunov exponent spectrum and bifurcation analysis. Numerical simulation results show that the circuit produces a class of special chaotic attractors. By adjusting the system parameter, the proposed circuit performs chaotic and hyper-chaotic behaviors from inverse doubling-periodic .

Abstract: Drowsy driving is deemed to be an important factor in many traffic accidents. Current vigilance detection systems are usually based on the expression of the driver recorded in video. These existing systems can only warning the driver when they are in fatigue and video-based analysis can’t detect the driver’s Pseudo-fatigue. In this paper, we propose a novel vehicle speed control based on driver’s vigilance detection using electroencephalographic (EEG) and Sparse representation. The proposed system consists of the vigilance detection module and the vehicle speed control module. In vigilance detection module, preprocessing and sparse representation classification (SRC), the classification of driver’s vigilance, are implemented in EEG to get the vigilance degree of driver. In vehicle speed control module, the Electronic Control Unit (ECU) control the electronic throttle and Anti-lock Brake System (ABS) so as to make vehicle speed keeping at the original level or down to zero according to the signal of vigilance degree. The last performance evaluation demonstrates the validity of the proposed vehicle speed control based on driver’s vigilance.

Abstract: As a wireless communication technology, Zigbee has been used in the mobile robot’s location in recent years. An experimental system composed by a Zigbee network, a PC and a robot is designed to study the location accuracy of Zigbee location technology. The hardware and software platform are constructed. The influence of the layout and the number of reference nodes on the location accuracy is discussed. The results show that ZigBee-based robot position method can meet the requirements of mobile robot applications. The location accuracy in the layout of triangle is up to 0.636m (in the range of 4m4m) and is better than those in the layouts of rectangle and cycle .

Abstract: Through the methods using combination ball-bar with laser interferometer, we carry on accuracy measurement and error compensation of three-axis CNC milling machine. We finally find out the main factors affecting the machining accuracy of machine tool. In the meantime we can improve repeatability of positioning accuracy and the machine's positioning and meet the processing needs by means of the existing error compensation of the CNC machine tools.

Abstract: This paper presents a fault-tolerant congestion control algorithm for Internet via dynamic output feedback. The controller is designed based on adaptive technique and robust H∞ approach. Simulation result is given to verify the effectiveness of the proposed algorithm.

Abstract: Most embedded systems are real-time systems, so real-time is an important performance metric for embedded systems. The worst-case execution time (WCET) estimation for embedded programs could satisfy the requirement of hard real-time evaluation, so it is widely used in embedded systems evaluation. Based on sufficient survey on the progress of WCET estimation around the world, it proposes a new classification of WCET estimation. After introducing the principle of WCET estimation, it mainly demonstrates various types of technologies to estimate WCET and classifies them into two main streams, namely, static and dynamic WCET estimations. Finally, it shows the development of WCET analysis tools.