Applied Mechanics and Materials Vol. 590

Abstract: The research and curiosity about outer space had been always constant. Looking for others planets, ways, civilizations wherever the exploration of the space will be a thing which the human desire. The challenge here for several years was the obtaining energy sufficient for the application of the missions. So, presently the major objective in the missions is offer more autonomy to the spacecrafts and consequently to lower the cost of the missions. Solar Sails have long been envisaged as an enabling technology because is a promising low-cost option for space exploration for it uses for propulsion an abundant resource in space: solar radiation. In this paper a simple model of solar sail is shown and studied your performance of Control System.

Abstract: The goal of this research is to develop a kind of contactless way to control sustainable energy device power system. The system can match most sustainable energy, such as solar energy or wind power generator. It can automatically switch with the best way to control sustainable energy power system which fit in. On the other hand, because single chip can transfer power instantly to drive device up, like charge smartphone, it is a highly customize device. With the control system, traditional sustainable energy device can work much longer life-time and stable. Through adjustable wireless protocol, PWM (pulse width modulation), low-power multi-purpose regulator circuit and instant feedback display, so it can be optimized most sustainable energy devices. The proposed control system is built by a single chip microcontroller which is serving as the integration of the control core of the circuit, voltage feedback monitor at the same time. In order to improve system performance, the research made for different drive designs to analyze and compare, and simulated calculation and experimented.

Abstract: This paper proposes an adaptive neural network law for trajectory tracking of a class of free-floating space robot with actuator saturation. Using neural network with global approximation, the control strategy design an on-line real time adaptive learning law to approach the uncertain model and the actuator saturation nonlinearity. The neural network approach errors and outside disturbance can be eliminated by a robust controller.The control strategy need not depend on the model, and can be used under actuator saturation.The control strategy can guarantee the stability of system and the asymptotic convergence of tracking errors based on the Lyapunov’s theory. The simulation results indicate that the proposed strategy can effectively work with actuator saturation.

Abstract: ITS deployment was adopted to improve traffic operation. Actuated control and advanced traffic management have been deployed in the project area. Driving is a multitasking activity that requires drivers to manage their attention between various driving-and non-driving-related tasks. This paper discusses the problem of modeling realistic and human-like behaviors on simulated highway systems by developing a framework. This framework consists of four units that are the perception unit, the emotions unit, the decision-making unit, and the decision-implementation unit. This paper has researched on the automatic vehicle driving mode (The Advanced Vehicle Control and Safety System) at the four-lane highway. Automated vehicle decision-making procedure is discussed in this research. Two safety indices of automate vehicle driving are explored. In real experiment, TBC index may be good for commending evaluating automate vehicle driving behavior.

Abstract: Fault diagnosis of Diesel engine cylinder head is very complex, so it is difficult to use the mathematical model to describe their faults. In this study, support vector machine trained by genetic algorithm based on high frequency demodulation analysis is proposed to fault diagnosis of Diesel engine cylinder head. Genetic algorithm is used to determine training parameters of support vector machine in this model, which can optimize the support vector machine (SVM) an intelligent diagnostic model. The performance of the GSVM system proposed in this study is evaluated by Diesel engine cylinder head in the wood-wool production device. The application to fault diagnosis for diesel engine shows the effectiveness o f the method.

Abstract: The four-wheel independent driving EVs have been considered as the hot spot due to their excellent controlling capability of the driving force distribution in recent years. In order to achieve the excellent control capability of electric drive systems, the mechanical properties and performance need to be investigated and evaluated. In this paper, the lateral stability of four-wheel independent driving EVs is studied and the major factors are investigated. Results of the analysis indicate that the sideslip angle of the vehicle should be controlled at a small value. Under this condition, the yaw rate plays a key role on the lateral stability of the vehicle. The results in this research provide a solid guidance to considerably improve the lateral stability and the active safety of the EVs, in both theoretical and practical aspects.

Abstract: A two-wheeled self-balancing robot system is designed, which uses TMS320LF2407DSP as the controller and Mio-x AHRS module as the main sensor. The dynamic model of robot is analyzed by state space model and transfer function. Robot’s physical system control is guided by the result from simulation experiments. A LQR+PID control method is put forward by comparing advantages and disadvantages of LQR control and PID control. The experiments result shows that this control method cuts down the design cycle, and also has a strong robustness. It is suitable for the multi-variable, high-rank, strongly coupling, non-linear two-wheeled self-balancing robot control.

Abstract: Mobile robots’ tasks depends the batteries to supply power. Automated mobile robots should manage its power to maximize the battery performance. Docking and recharging are crucial abilities to ensure the performance of the power system. This paper presents a complete solution for a power system to address the problem of power management and autonomously recharging of batteries for a mobile robot. The main two aspects in this solution are the power management including charging of the batteries and the docking system are described in detail. The paper presents results that shown the feasibility of the proposed docking station for autonomous recharging. A comparison of different batteries tested in this project is also presented in the paper.

Abstract: In the presence of parametric uncertainty, the adaptive control method for lane changing of intelligent vehicle was studied. Based on the lateral dynamical model of vehicle, by applying terminal sliding mode technology, the yaw-rate tracking control law for lane changing was designed and the estimation formula for uncertain control parameters was deduced by using direct adaptive method. By using the control law and adaptive law for uncertain parameter designed in this paper, expected control performance of stability of tracking error and the convergence property of parameter estimation values was verified from the simulation.

Abstract: The establishment of high-speed cutting database provides reasonable, optimized high-speed cutting data for mechanical manufacturing industry. It also has important significance for promoting the application and development of high-speed machining technology and improving cutting efficiency and economic benefit. Through combining high-speed cutting database researches. This article focused on analyzing data sources, data mining technology about high-speed cutting database.