Applied Mechanics and Materials Vols. 687-691

Abstract: To solve some problems in fault diagnosis for analog circuit, a neural network diagnosis method using improved PSO algorithm is proposed. For the appearance on local convergence and prematurity in the application of standard PSO algorithm, an information sharing strategy is introduced, and then improved PSO algorithm is used to train the neural network for overcoming the deficiency of BP algorithm. The simulation indicates that the proposed fault diagnosis method has the fast convergence and accuracy without local convergence and prematurity for analog circuit.

Abstract: Through putting forward one kind of magnet coil launcher model of new structure; expound the basic component and the work principle of this launcher, built the mathematical model of this launcher work course. Through the dynamic simulation for its work progress, we get the electromagnetism that current and launch package are received power, speed and displacement etc. Comparatively analyzing the influence through changing system stored energy and to the system operating and the progression of launch coil. The result indicates: launching the coil possesses the better acceleration capability than the drive coil; Launching the speed of package energetically has the influence to electromagnetism, and along with the increase of speed, launches the electromagnetism that the package is received energetically reducing more greatly; Suitable change system stored energy can realize the vertical launch of missile with progression that launches the coil.

Abstract: An intelligent robot system is designed based on MK60DN512 embedded microprocessor, in the process of system design, the laser sensor detection sub system is researched, and microprocessor is used to control the multiple steering for robot walking posture adjustment between the robot joint angles, multi actuator position control is obtained, and humanoid robot adjust posture recognition is realized, according to the recognition results, the posture is adjusted, humanoid robot hardware design is taken, humanoid robot hardware design includes surface monitoring subsystem, space orbit simulation part, etc. The humanoid robot software design of robot is taken, combined with the robot walking track rules, the software structure of intelligent robot is designed, 7 degrees freedom coordinate system and link coordinates are constructed based on D-H theory, robot working space is obtained. The hardware part includes 4 parts: MK60DN512ZVLQ10 servo driven, power board, and main control board. The test results show that the humanoid robot has high control precision, the entire race walking of robot control system is simulated with 3cm/s, and the performance is stable, it shown good application value in the robot design.

Abstract: This article is based on the idea that considers the influences of uncertainty, constraint programming model based on stochastic programming opportunities, expressed by means of probability constraints, the establishment of a constraint programming model for the optimal opportunity of wind power uncertainty, stochastic simulation technology development program and the particle swarm algorithm is used to solve this model based on IEEE30, at the end of the node optimization and simulation, to verify the feasibility of the model and algorithm. The whole procedure lays a good foundation for improving the situation of large-scale wind power grid dispatching and operation level access.

Abstract: A Quick-scanning XAFS (QXAFS) data acquisition system based on EPICS is achieved at the Shanghai Synchrotron Radiation Facility (SSRF) XAFS beamline. The hardware and software system are introduced. Gas ionization chambers, current amplifiers and data acquisition card are utilized to obtain the X-ray intensity before and after the sample. Four fine QXAFS spectra with an energy range of 1.2 keV at the Cu K-edge have been collected in 5 seconds. The results indicate the good repeatability of the QXAFS data acquisition system. It makes a lot of sense for the researchers to carry out experimental study at SSRF.

Abstract: The methods of piezoelectric energy harvest and detection based on forced vibration are introduced in this paper. Firstly, the mechanical energy of the forced vibration is converted into alternating current energy by using the piezoelectric harvester, and then the AC currents are rectified through the full bridge rectifier circuits, and finally the capacitor filter circuits are adopted to obtain the stable DC output. It also implements the voltage waveform detection during above energy harvesting process. The experimental results show that piezoelectric oscillator has the characteristics of simple structure and support stability, and its forced vibration frequency is independent of the structural natural frequency. The piezoelectric harvester forced with the vibration source can obtain an effective energy-harvested electric output.

Abstract: Pulse width modulation (PWM) technology based on rotating coordinate transform is a new type of rectifier control method. Through the electromagnetic transient process of the analysis of the rectifier circuit we can verify the accuracy of this control method. Therefore, this paper first analyzed electromagnetic transient process of the rectifier circuit. By changing the phase and amplitude of voltage to realize the active and reactive power decoupling control independently. Than,it built the simulation model of rectifier circuit with the electromagnetic transient analysis software PSCAD. This cricuit is controlled by PWM based on double closed-loop vector. The simulation and analysis of the circuit are performed on the basis of the model. The simulation results can reflect the electromagnetic transient process of the circuit accurately,so as to verify the correctness of the proposed control method to control the rectifier circuit.

Abstract: This paper introduces a solar controller based on SCM, system uses STC15F2K61S2 microcontroller as the core device of the control circuit. This design uses PWM (pulse width modulation) control technology and MOSFET tube is opened and closed to control the battery charging and discharging. The experimental results show that, the controller performance is reliable, can monitor the state of implementation of solar battery and storage battery, battery charge and discharge control optimal, to prolong the service life of the battery to.

Abstract: Aiming at the issue of fault prediction technique of power electronic circuits, a method based on characteristic parameter data and Particle Swarm Optimization RBF(Radial Basis Function) Neural Network for the fault prediction of power electronic circuits was proposed. Taking the Buck converter circuit as an example,the fault prediction of power electronic circuits was achieved. Firstly,the output voltage was selected as monitoring signal, then the average voltage and ripple voltage were extracted as characteristic parameters. Lastly Particle Swarm Optimization RBF Neural Network was used to predict the fault. The experimental results show that the Particle Swarm Optimization RBF Neural Network is more accurate in predicting than the only RBF Neural Network.The new method can trace the characteristic parameters’ trend and can be effectively applied in fault prediction of power electronic circuits.

Abstract: Corona cage six bundle conductors corona loss were measured, and corona onset electric field was obtained. The IEC 61284 standard was adopted as altitude correction. And add to this, exponential form and linear form altitude correction formulae were adduced. The results show that, exponential form altitude correction formulae calibration error and dispersion are less, and the adjustment effect is better; for convenient engineering application, linear correction formulae can be adopted; for estimation in the rough, sea level as base, as altitude increases every 1000m, conductor corona onset electric field decreases about 7%.