Applied Mechanics and Materials Vols. 427-429

Abstract: A simulation model was built based on the Simulink module in the Matlab to study the effect of DC power harmonics to hysteresis current control performance. The DC power supply in the hysteresis current control circuit was obtained by a three-phase rectifier circuit, and the harmonics of DC power supply vary with the value of the capacitor which was in parallel to the rectifier circuit output. The result of experiment shows that the harmonics cause the inverter output waveform distortion, even cause hysteresis current control tracking failure.

Abstract: This paper presents an evaluation of source N⁺ pick-up influence on ESD/LU immunities for the 0.35μm 3.3V low-voltage pMOSFET devices. It is found that when the stripe number of source N⁺ pick-up increased, the trigger voltage (V_t1) and holding voltage (V_h) values will be increased, too. Finally, the I_t2 value of DUT_Pick-up×5 as compared with a DUT_{Wo pick-up}(reference group) is decreased by 10%. Therefore, it can be concluded that the contribution of source N⁺ pick-up for I_t2 was not remarkable and recommended in this 0.35μm 3.3V process. Additionally, the V_h value of DUT_Pick-up×5 as compared with a DUT_{Wo pick-up}(reference group) is increased by 9.4%, the source N⁺ pick-up process can effectively strengthen the latch-up immunity.

Abstract: The state of charge (SOC) of power battery is an important parameter of battery state, and it plays a vital role in real-time accurate estimation, condition monitoring, improving battery life, and ensuring the safety of power supply. This paper presents the grey neural network model of the relation between the battery SOC and rebound voltage, discharge current. Based on this model, a new on-line SOC detection method using rebound voltage and discharge current in the discharge process is proposed. From the testing results, the model and algorithm were proved to be feasible and effective, and the estimated error is controlled within a range of ±8%.

Abstract: It is unchangeable fact that there is great stiffness spring flexible load in electro-hydraulic force servo control system, and there is low oscillation frequency second order differential link in the numerator of the transfer function. On the other hand, the frequency response ability of the system is influenced badly from the link and the system may oscillate easily even is instability. Aiming at this special performance of the electro-hydraulic force servo control system and its small open loop gain characteristic, the adaptive neural network control strategy is adopted to the controller of the electro-hydraulic force servo control system this special performance system in order to improve the dynamic performance of the system. The model of the system with the adaptive neural network control strategy is built and the simulation and experiment study is done. Comparing the control result of the controller with the adaptive neural network control strategy to the control result of the controller with the traditional PID, and from the results of simulation and experiment, we can know that the mathematic model of the electro-hydraulic force control system controlled by the adaptive neural network control strategy is correct, and we can find that the controller with the new designed control strategy can not only increase the frequency response ability of system, but also improve the precision of system, and the controller can quicken the response ability of the system obviously.

Abstract: The flow press servo valve has very special work principle, and it now is widely used in the electro-hydraulic force servo system as main and kernel part. According to its special work principle, electromagnetic basic theory and the flow continuity equation, the mechanics analysis of every main part of the flow press servo valve was finished; the author built the mathematic model of the flow press sever valve. During the process of building model, the author took into account the load torque on the torque motor keeper and the total load torque of torque motor. On the other hand, the neural network intelligent control strategy was used in the force servo system to improve the whole system performance. The mathematic model of the electro-hydraulic force servo system controlled by the flow press servo valve with the neural network control strategy was built. The simulation curves and the experiment curves were accord compared by system simulation and experiment results, so we can know also that the mathematic model of the flow press sever valve and the electro-hydraulic force servo system controlled by this kind of valve with the neural network intelligent control strategy are correct.

Abstract: According to the laboratory detection systems can not completely replace the electric motorcycle road inspection and unable to reproduce the problem, this paper designed a real road condition simulation and test system, developed a control core-board which was driven by DSP(TMS320LF2407A). Simulations and tests based on the database of road condition can be realized when the core drives the workbench using control algorithm. The experiment and application show that this test system has good performance, and achieve the design requirement.

Abstract: With human characteristics of the structure of lower limb joints and simplify them, 12 degrees of freedom was equipped with for the lower extremities of biped walking robot. motion model is established and used to elaborate the movement characteristics in sagittal and lateral plane according to a particular mechanism of robot. The stability of robot in two or there dimensions is analyzed through ZMP principles and the calculation formula and measuring methods of corresponding ZMP are also concluded, Gait design data will be taken into the virtual prototype and make motion Simulation for gait, then get the simulation animation of walking straight, static turning and moves upstairs, This paper expounds the possibility of generating smooth walking trajectory with cubic interpolation. Using the dynamics simulation software to simulate the robot, the results show that the robot has the theory of stable gait, The control accuracy of joints position and the realization of desired purposes of the robot system.

Abstract: A fast terminal fuzzy sliding mode control scheme for the attitude of flapping wing micro aerial vehicle is proposed in this paper. Based on the feedback linearization technique, a fast terminal sliding mode controller is designed. To diminish the chattering in the control input, a fuzzy controller is designed to adjust the generalized gain of fast terminal fuzzy sliding mode controller according to fast terminal sliding mode surface. The stability of the control algorithm is verified by using Lyapunov theory. Simulation results show that the proposed control scheme is effective.

Abstract: Reverse modeling of vehicle suspension control arm is studied. Firstly, the data of vehicle suspension control arm is acquired. Secondly, the scanning point cloud data is processed. Then 3D model of vehicle suspension control arm is reconstructed. Finally, models deviation is analyzed to find out the deficiencies and to improve the accuracy of the model. Reverse modeling based on CATIA can make up the shortage of traditional modeling method and solve the problem of gaining the data of complex curved surface parts. It also can shorten the innovation and improvement cycle of the vehicle suspension control arm and reduce the production cost and enhance enterprise competitiveness.

Abstract: By adjusting a variety of different frequency signals, equalizer compensates or optimizes system deficiencies, equalizer is used in voice, communication systems, mechanical vibration, fault diagnosis and many other fields. Traditional analog equalizer has low precision, phase nonlinearity and more distortion characteristics. On the basis of this, a new digital equalization algorithm that abandon the traditional single FIR filter implementation method is proposed, frequency division effect is achieved by multiple phase sub-band filter row and multi-channel digital potentiometer, so the cost of digital equalizer design and difficulty of implementation are reduced, and flexibility of digital equalizer settings on the real-time system is improved. In this paper, QuartusII is applied to functional simulation, and downloaded into the FPGA via JTAG interface to verify the correctness of the results.