Applied Mechanics and Materials Vols. 347-350

Abstract: Digital image hologram and double exposure method is used to measure displacement of an object in this paper, the intensity of object light has been increased effectively, the contrast of interference fringes has been improved, clear interference fringes has been gotten. A new method has been proposed that CCD and EALCD are applied in order to record the digital hologram and interference fringes, the drawback is avoided successfully that fixing, relocation and nonlinear recording of traditional hologram recording material are. Better experimental effect is achieved.

Abstract: Stabilized tracking platform is one of the most important part of modern tracking system, which can isolate disturbance, keep attitude reference, and rapidly realizes the identification and tracking of maneuvering target through the image equipment. Currently, the common method of capturing tracking object is to select proportional-integral-derivative (PID) controller parameters in view of the zones of the different miss-distance, which therefore exists the problem of optimizing a PID controller. This paper firstly builds a physical model of the tracking system, and then designs an adaptive fuzzy logic controller (FLC) for tracking loop, where a Mamdanis min-max fuzzy reasoning principle is used to adjust controller parameters. The simulation result shows that the proposed method can obviously improve the stabilized tracking platforms performance in the accurate and fast tracking ability rather than conventional controllers in the stabilized tracking platform.

Abstract: Most high-resolution angle estimation algorithms suffer from sensitivity to gain and phase uncertainties. In this letter, a novel ESPRIT-based algorithm, which uses the instrumental sensors method (ISM), is proposed for bistatic MIMO radar with gain and phase uncertainties. With the help of a few well-calibrated transmitting and receiving instrumental sensors, the proposed algorithm is able to achieve favorable and unambiguous angle estimation and accurate self-calibration without the knowledge of gain and phase uncertainties. Simulation results demonstrate the validity of the proposed method.

Abstract: A digital dc-dc converter with fast transient response and low overshoot is introduced, in which an additional predictive component based on multisampling technique is added to the conventional controller. The predictive function uses the second derivative of the error signal and linear extrapolation technique. A theoretical model is derived for the converter, and simulation result indicates that the design achieves better dynamic performance.

Abstract: Blind image deblurring from a single image is a highly ill-posed problem. To tackle this problem, prior knowledge about the point spread function (PSF) and latent image are required. In this paper, a blind image deblurring approach is proposed to remove atmospheric blur, which utilizes the normalized sparse prior on the latent image and radial symmetric constraint on PSF. By introducing an expanding operator, the original constrained minimization problem is simplified to an unconstrained minimization problem and it therefore can be solved efficiently. Experiments on both synthetic and real data demonstrate the effectiveness of our approach.

Abstract: Novel reaching law to nonsingular terminal sliding mode control for the control of the second order nonlinear uncertain system is introduced in this paper. The problems of singularity, chattering and slow convergence of the terminal sliding mode control, and verify the stability of the new controller is analyzed. Due to the premise of eliminating the singular value in the nonsingular terminal sliding mode control, the new reaching law based on the power reaching law enables the finite time convergence of the system equilibrium. By applying the new controller to the inverted pendulum system, the sliding surface had been proved fast and the system chattering had been reduced at the same time. Simulation results indict that the system converges to the equilibrium in a short time and the proposed method is feasible and effective.

Abstract: A method for perception and map construction of the unknown environmental information is described in this paper by analyzing and processing the data measured by laser range finder (LRF). The structure of the laser range finder, the structure of its returned measurement data, its working principle, and communication protocol are presented. The physical meaning of the data are studied and illustrated as well as its representation methods. The corresponding algorithm routine and the GUI interface program are introduced. Experiments are conducted to verify the range finding accuracy of the sensor and the data visualization method is also introduced. Results indicate that the proposed method is sufficiently valid and can satisfy the desired requirements.

Abstract: This article researched the influence of TCP-RTP distance on the accuracy of product in robot roller hemming through orthogonal experiments used as guidance to optimize the parameter of TCP-RTP distance in practice. Results reveal that the influence of the TCP-RTP distance of each step on the accuracy of a product is different.

Abstract: this study presents an eight array ultrasonic signal phased array sparse sampling experiment system based ultrasonic phased array technology and Compressed Sensing (CS). Proposed system considers recovery ultrasonic beam signal received eight phased array elements with sparse samples captured using sub-Nyquist model in CS recovery algorithm. We have the block defect detection test in the system. The test result approximated the actual block defect position. Based on block defect detection test, We compared sparse sampling value using spectrum estimation to Compressed Sensing recovery algorithm imaging, and no focus and focus detection effect, proved the phased array experiment system based on Compressed Sensing .it can greatly improve the detection signal to noise ratio (SNR) and sensitivity. So we verify the phased array focus can improve the detection ability.

Abstract: The speed regulating system of DC blushless motor was mostly studied. This paper is based on a simplified mathematical model of Brushless DC motor which was consisted of the traditional PID and single neurons. In the Simulink environment, it is established by the control algorithm of single neuron adaptive PID brushless DC motor speed control system closed loop simulation model. From simulation results, the single neuron adaptive PID control system of DC brushless motor has excellent dynamic and static performance. Based on the analysis of DC blushless motor speed control system and simulation results of the neural network control algorithm, hardware of the digital control system for DC brushless motor is designed with control center of high performance microcontroller 80C196KC,which is of single neuron adaptive PID control algorithm.