Advanced Materials Research Vols. 591-593

Abstract: This article introduces the principle of achieving high precision switch control on double-power supply system of electric fence power & inverting power by intelligent static switch with DSP-TMS320LF2407A as the main control chip and its hardware & software characteristics. The most central part of intelligent static switch is to embed an intelligent soft management system and set up a platform to manage other software, which achieve fast data processing and complex Boolean calculation of system. The intelligent static switch can monitor the magnitude, phase and frequency of electric fence power & inverting power in real time according to present parameter, revise the frequency & phase of standby power in-phase signal which is in a warm-waiting state, make sure they are highly precise in double-power supply system, and achieve “seamless” switch.

Abstract: For time-delay, noise and network congestion in the communication among agents, there are random communication link failures among agents. In the paper, we analyze the distributed flocking algorithms under virtual leader-follower model with random communication link failures. Under virtual leader-follower model, flocking algorithm can avoid diverging, but the performance of flocking algorithm with link failure often degrades. We analyze the impact brought by link failures on the flocking algorithm when part agents can’t receive the information of the virtual leader, and simulations are done. Results show that the performance of distributed flocking algorithm depends on the probability of link failure. Smaller is the probability of link failures among multi-agents, better is the performance of flocking algorithms with link failure.

Abstract: In order to improve the accuracy of consensus filters, in this paper, we propose a second-order consensus filtering algorithm based on the pseudo two-hop distributed consensus algorithm, we analyze the performance of the second-order consensus filtering algorithm, and prove that the second-order consensus filtering algorithm is convergent. We analyze the filtering accuracy of the second-order consensus filtering algorithm, and make a comparison for filtering accuracy between the first-order consensus filtering algorithm and the second-order consensus filtering algorithm, simultaneously, simulation is proposed, the results show the second-order consensus filtering algorithm is convergent, and the filtering accuracy is higher than that of the first-order consensus algorithm.

Abstract: AGV is short for automated guided vehicle. AGV is unmanned automated guided carriage car equipped with a non-contact guidance with microcontroller as controlling core and battery as power. The basic functions of the AGV are driving automated, recognizing the site to stop and transfering loads. AGV has been more widely used, because it is a key equipment of flexible manufacturing systems and an important mean of modern logistics systems. Guidance technology is the most critical core technology in AGV system. In this paper the author consult a lot of relevant books and mainly compares principle of a variety of AGV navigation technologies ,analyzes the advantages and disadvantages and forecast the trend of the agv guidance technology development in the future so that relevant researchers can do further research.

Abstract: This thesis mainly elaborated the PID neural network feed-forward algo-rithm and back propagation algorithm and the structure form of its controller, then make use of MATLAB to simulate the liquid level adjusting system, analysis its control perform-ance and choose appropriate neural network parameters, and compared with the traditional PID control effect, analyzes the advantages of PID neural network. Through the comparison with the conventional PID control, PID neural network is superior to the traditional PID. The traditional PID control tuning parameters has a large number of thumb rules for reference, but the setting out of the parameters is not necessarily good. And sometimes we have to modify the parameters if we wound the better control effect. PID neural network is set up as long as the learning step in accordance with the PID rule set. this paper has show that Liquid Level Control System based on Computer Nerve Network has good control effect of rapid and effective.

Abstract: This paper proposes a drawing simulating method by means of drawing out coordinated system and relevant object for every link of the articulated industrial robot in UG system. Because the structural and kinematical parameters are defined with variable element in UG system, the conFiguration of terminal link and other link are all simulated. It is appearance that the drawing course by this way is simple and the drawing result of the articulated industrial robot is visual, believable and reliable.

Abstract: In order to collect field data of rotary kilns for detailed analysis before automatic control system were designed and implemented, a simple data acquisition software for serial devices on the basis of Excel VBA was introduced in this paper. The serial communication module was coded with MSComm control. Data were presented both in tables and curves by the charting tools of Excel. A modified 53H algorithm was presented for online abnormal value detection while several data filtering functions were provided. Organized workbooks and worksheets were used as storage structures rather than a database system. Its application in a Lithopone rotary kiln proved its effectiveness in data acquisition, storage, query and preprocessing. This kind of simple data acquisition software has advantages in economical efficiency and simplicity, and is suitable for data acquisition applications with low sampling rates.

Abstract: Aiming at the control problem for starting-clutch of CVT vehicle, the control goals have been analyzed for different stages, for the principle that decrease jerk and friction work, the fuzzy control algorithm have been proposed. The complete vehicle model is modeled combining engine model with clutch dynamic model, clutch hydraulic model, resistance torque model and engagement pressures model. According to the complete vehicle model, different starting simulations are gained by changing the throttle opening and change rate. It can be seen from the simulation results, both the jerk and friction work are restricted within a reasonable range after the fuzzy control algorithm is adopted, which brings relatively smooth startup and enough service life for clutch. The engine has small speed variation during the startup process, which reduces fuel consumption and noise effectively.

Abstract: Due to the good performance of brushless motor, its application is widespread. Brushless DC motor has following advantages that are low interference, low noise, high efficiency and so on, so it was widely used in industrial and control field. But DC motor has larger current commutation torque ripple, greatly reduce their reliability and stability. This design using direct torque control strategy to reduce torque ripple, and compares the control results of PI controller with direct torque control method. In the process of regulating motor’s speed ，When adopts PI controller here has great overshoot and start time of speed is long than direct torque control, current pulse obviously severe than direct torque control. The simulation results show that overall effect of direct torque control is superior than double closed loop control. It fully explains that the control strategy in this paper is effective.

Abstract: In this paper, according to the AC permanent magnet synchronous servo motor of the laboratory, using appropriate method to deal with servo motor makes its physical model be established. The nonlinear dynamic mathematical model of permanent magnet synchronous servo motor is established on the basis of the physical model. Based on nonlinear dynamic mathematical model of the permanent magnet synchronous servo motor, and through the coordinate transformation and state feedback, the input-output linearization is realized and the system decoupling is achieved. According to the system's linear model, a speed tracking controller is designed. The Simulink model of Svpwm is established. The control algorithm and the model of Svpwm are verified based on theMatlab7.6/Simulink & SimPowerSystems toolbox. The simulation results show that the controller designed has a very good control effect while the feedback linearization design is simple.