Applied Mechanics and Materials Vols. 602-605

Abstract: To improve the vehicle comfort, Magnetorheological damper is installed on the vehicle suspension system. So the system with hysteretic nonlinearity is a typical nonlinear system. First, the behavior of system under the periodic excitation force is analyzed, and the possibility of chaos is proved in the paper. Then, with piecewise-quadric function employed, the nonlinear feedback controller can be used to control the chaos. At the same time, Melnikov’s method is used to gain coefficient of controller. Numerical simulation shows that this method can the effectively guide chaotic motions toward regular motions. This control method is quite simple and effective without affecting the system properties. The results may supply theoretical bases for analysis and optimal design of vehicle suspension systems.

Abstract: VxWorks operating system has been widely used in the field of embedded real-time operating system for its good reliability and excellent real-time performance. In this paper, the robot PC control interface is designed under VxWorks development environment. By reading the 24-bit true color bitmap, the image data is stored in memory, and window is created using WindMl multimedia database, bitmap is created and displayed in the window, background is displayed using the entire bitmap, buttons and text boxes are displayed by modifying and updating the corresponding position image display memory. The paper gives some modules of code, the method used is simple common, and the design interface is beautiful.

Abstract: A position and attitude tracking control law is developed using geometric algebra (GA). The rigid body motion can be represented by the screw versor (or motor) in GA. Using the kinematics of the motor, the tracking control law of the rigid body motion can be formulated similar to the proportional control law. This paper provides a GA-based position and attitude tracking control law by using the negative feedback of the motor logarithm. The stability of the control law is validated by the numerical simulation.

Abstract: This paper presents a new method of braking control related to the brushless DC Motor control industrial sewing machine system by analyzing the braking method of brushless DC Motor and the characteristics of control method concerning industrial sewing machines system. With the RENESAS SH7125 MCU as the core controlling, this paper analyzes from the both aspects of speed regulation and braking control, adopts oscillating circuit frequency input method for frequency control, reversing locking brake by detecting needle position signal. Practice proves that the method has achieved good effect, met the control requirements of the industrial sewing machine system.

Abstract: In order to further improve the baking energy recovery rate of extended-range electric vehicle (E-REV), thus to extend driving distance, a high efficiency regenerative braking control strategy for E-REV was proposed. Based on the co-simulation platform with AVL-Cruise and Simulink, a dynamic model for E-REV was set up and simulation calculations on hybrid motor-mechanical regenerative braking were performed. The simulation results with typical driving cycles illustrate that the friction braking force and the regenerative braking force could be well integrated, braking energy recovery efficiency was high, and the proposed control strategy of regenerative braking in the paper is effective.

Abstract: To solve the unstable and insufficient energy supply problems in Smart Home Controlling System and improve the he cooperation between several sensors with different functions and parameters, a new energy supply module based on the vibration in the air and the fuzzy data fusion theory applied to the cooperation among sensors are discussed in this paper. The test result proves that this kind of module works well to provide enough energy preservation for the whole WSN system and data fusion theory enhances the credibility and preciseness of the surveillance result.

Abstract: A control process based on data often contains large amounts of sample data. The accuracy of system is always influenced by the randomness of the initial data when the RBF neural network is used to predict model. However, the grey accumulated generating operation (AGO) can reduce the effect of randomness of the initial data, which is able to make data more regular. Based on the two points above, a new kind of method is proposed, which is called grey RBF neural network. This method not only can reduce the randomness, speed up the network convergence, but also improve the modeling accuracy. The grey RBF neural network can be proved to be feasible and effective by applying the grey RBF neural network to the synthetic ammonia decarburization process, and comparing the simulation results with the results which was only using RBF network.

Abstract: For the brazing furnace work system with time-varying, hysteresis and nonlinearity characteristic, the traditional PID control cannot meet the requirements of high-performance. Fuzzy self-tuning PID control scheme, can effectively overcome the interference effect, has good adaptability. But the based on modern control theory state space analytic method uses state feedback, not only promulgating the system internal structural property, to realize the optimum control to system’s compound performance index. By combining state feedback and PID control of the respective advantages, determined the brazing furnace temperature system’s optimum control scheme. Either the simulation analysis or actual system operation fully explaining fuzzy intelligent designs of the tuning PID and the optimal control scheme based on state space method have improved significantly the system's steady-state and dynamic performance index.

Abstract: The equivalent circuit diagram was established based on the internal structure of the photovoltaic cells, and a simulation model of the photovoltaic cells was built in Matlab/Simulink, which could simulate the output characteristics of the cells under different temperatures and light conditions. According to the separate simulation of the perturbation & observation and fuzzy-control algorithms, the results show that fuzzy control has better performance when dealing with this non-line system.

Abstract: Some Steel Plant in our country using the old formula annulus crane, this article introduce a new electrical control system. Using PLC + Inverter + Linkage console, use this control system, we can solve the question that the old crane always out of orbit, this system solve the crane out of the orbit, broken the orbit and slip perfectly. On the other hand, we subjoin vector control, which can prevent the weights fling off.