Advanced Materials Research Vols. 712-715

Abstract: Reliability of facility systems is to a large degree affected by the edge (facility) failures. In this paper, we review the models and methods of the analysis and the design of reliable facility systems based on the classical location problems subject to edge failures. It shows that the reliability of facility systems will increase when considering the edge failures in locating decision.

Abstract: Music is known to be a powerful elicitor of emotions. Music with different moods induces various emotions, each of which corresponding to certain pattern of EEG signals. In this paper, based on current music mood categories, we discuss how the music belonging to different mood types affect the pattern EEG activity. We review several literatures verifying that certain characteristics of EEG differ from each other induced by different types of music. Such differences make it possible for emotion recognition through EEG signals. We also introduce some applications of emotional music such as improvement of human emotions and adjuvant treatment of diseases.

Abstract: This system use PC as the core of image analysis and processing, with the single chip processor as the control core execution, combining with machine vision image processing technology, using advanced image processing algorithms, to achieve separation of the nut, and through experiments to test the correctness of the algorithm. The system has the advantage of a fast processing speed and high reliability. It not only save the manpower cost, but also improve the efficiency of the nut sorting.

Abstract: APT (Acquisition, Pointing, and Tracking) system of space laser communication adopts compound axis structure; it consists of coarse tracking and fine tracking system. Its response speed and tracking precision mainly rests with the fine tracking system. Traditional PID control algorithm often is used in APT fine tracking system. In order to improve the dynamic performance of the system and decrease the tracking error, optimum control technology was adopted in this paper. On the basis of considering the system dynamic performance requirements and tracking precision requirement, optimum controller was designed. The simulation result shows that the bandwidth of APT fine tracking system is up to 1310 Hz, and the stable state error is less than 0.002. Compared with PID control, optimum control can improve the tracking performance of system.

Abstract: A set of face automation grinder is designed aimed at the cemented carbide characteristics of high hardness, high wear resistance, and good dimensional stability,and automatic grinding process is divided into three stages of coarse grinding,accurate grinding and light grinding; Constant force feed system is designed using servo drive mechanism and pneumatic mechanism; Using on-line measurement and grinding support institutions, the grinding process real-time monitoring and real-time processing size measurement are realized; With PLC as the central control unit automatic control system is designed for the grinding force control, measurement data processing and feedback show and grinding process control; The machine design idea is provided the references for other grinding machine automation design.

Abstract: The maglev blower used in sewage treatment, which power is 115kW, speed up to 20000rpm, for plain bearing blower speed 6-8 times, volume is only 1/4 of the plain bearing and the noise is less than 80dB. The controller uses a DSP and FPGA dual-core controller to complete. DSP process the rotor suspension signal with digital bandstop filter program and improved PID program, FPGA complete the current signal amplification.Two chip via custom protocol to complete the data transfer. It is successful application of the controller that used in the magnetic bearing blower.

Abstract: Basing on the research of the network structure of the control system of the smart home and the characteristic of the wireless technology of the Bluetooth, it proposes an implementation of the control system of the smart home basing on the Bluetooth technology, builds the communication protocol architecture of the control subnet in smart home, and develops the smart home controller basing on the ARM9 S3C2440. In the control system of the smart home, it can implement the log, control, add, remove and other basic operations of the control sub net in the smart home system towards the household electrical appliances.

Abstract: In order to deeply understand the characteristics of the permanent magnet synchronous motor direct torque control method, its mathematical models were established in the two-phase stationary coordinate system, the two-phase synchronous rotating coordinate system, and x-y stator synchronous rotating coordinate system. The implementation process of direct torque control method in varied stator winding connection was analyzed in detail. In order to improve the speed and torque performance of the permanent magnet synchronous motor, the direct torque control block diagram and the space voltage vector selection table were given. Finally, the summary and outlook of reducing torque ripple in the permanent magnet synchronous motor direct torque control methods.

Abstract: This paper studies the output-feedback model reference robust control for MIMOlinear systems with generalized relative degree one. A new robust controlscheme is proposed within the framework of model reference control. Under theassumption that the high-frequency gain matrix of the plant can be transformedto a glass of main diagonal dominant matrix via full rank transformation, it isshown that all signals of the closed-loop system are globally uniformly boundedand meanwhile, the tracking errors converge to a residual set that can be madearbitrarily small by properly choosing some design parameters. Simulationresults are presented to illustrate the effectiveness of the proposed scheme.

Abstract: In this paper, a novel robust adaptive neural control scheme is proposed for a class of ship course autopilot with input saturation.RBF neural networks (NNs) are used to tackle unknown nonlinear functions,then the robust adaptive NN tracking controller is constructed by combining dynamic surface control (DSC) technique and the minimal-learning-parameters (MLP) algorithm. The stability analysis subject to the effect of input saturation constrains is conducted employing an auxiliary design system. With only one learning parameter and reduced computation load, the proposed algorithm can avoid both problem of “explosion of complexity” in the conventional backstepping method and singularity problem. In addition, the boundedness stability of the closed-loop system is guaranteed and tracking error can be made arbitrary small. The effectiveness of the presented autopilot has been demonstrated in the simulation.