DIDSON (Dual-frequency identification sonar), a new generation of acoustic video cameras, is applied to research and detect the underwater environment in this paper. In order to solve the shortcomings of the DIDSON in...
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DIDSON (Dual-frequency identification sonar), a new generation of acoustic video cameras, is applied to research and detect the underwater environment in this paper. In order to solve the shortcomings of the DIDSON in underwater environment, we propose a real-time forward-scan sonar image mosaicing method and system. Through a series of processing to the DIDSON images, such as image registration, image matching and image fusion, a few DIDSON images with small viewing angle and low resolution have be mosaicing to be a large-scale and high resolution sonar image. This improves DIDSON's target detection and expand observing angle to detect bigger underwater targets.
A potential application of BCI is the way of prosthesis control, while the traditional ways are not appropriate for those who got the high SCI (Spinal Cord Injury). In this paper, considering the practicality of BCI b...
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This paper systemically discusses a procedure for evaluating and validating an odor source identification algorithm derived from moth-inspired plume tracing strategies. We evaluate and validate the proposed source ide...
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This paper realizes the tactile and slip perception of prostheses finger by using of PVDF (Polyvinylidene Fluoride) piezoelectric membrane. The mathematics model of brushless DC motor is constructed and the characteri...
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An ideal haptic device should transmit a wide range of stable virtual model impedances (Z-width) with high transparency. Magneto-rheological fluid (MR) brakes are advantageous in haptic devices since they are passive ...
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Recent advances in data-driven (or model-free) control have permitted to enhance the closed loop behavior of linear and especially nonlinear systems using very simple control structures. As a result, unknown or badly ...
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Recent advances in data-driven (or model-free) control have permitted to enhance the closed loop behavior of linear and especially nonlinear systems using very simple control structures. As a result, unknown or badly known dynamics are compensated and disturbances are rejected without any learning or on-line identification procedure. However, the ultra-local phenomenological models on which this control technique rely have not yet exploited the fractional nature of many processes and the nonlocal nature of the fractional integrodifferential operators. In this paper, fractional derivatives are used in the so called model free control structure in order to explore the advantages they provide in terms of robustness and dynamic response. Fractional and integer order data driven PIDs will be compared for a DC motor in a robot flexible joint control application in a simulation environment.
The quadrotor unmanned aerial vehicle (UAV) has been a focus for unmanned aerial vehicles. Ground control system (GCS) is an important part of the quadrotor UAV flight control system, and it can promote the flight per...
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The quadrotor unmanned aerial vehicle (UAV) has been a focus for unmanned aerial vehicles. Ground control system (GCS) is an important part of the quadrotor UAV flight control system, and it can promote the flight performance and safety of quadrotor UAVs. In this paper, a quadrotor UAV GCS is designed and implemented, and the GCS realizes the following functions, including receiving and storing of the flight data, the real-time localization utilizing the customization of electronic maps like MapX and Google Earth, the visual display of flight states via virtual instruments and the waypoint planning. Outdoor experiments have been done to verify the GCS's performance. It can be concluded that the proposed GCS in this paper can work stably, and it can guarantee the integrity of the flight data, the accuracy of the instruments display and map localization.
The impedance control problem of three-link plane robot is investigated. Firstly, the kinematics and dynamics model of robot is derived. Second, the impedance control model is established. Then, the fuzzy PD joint con...
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The impedance control problem of three-link plane robot is investigated. Firstly, the kinematics and dynamics model of robot is derived. Second, the impedance control model is established. Then, the fuzzy PD joint controller is formatted when the fuzzy theory is introduced into the joint PD controller of robot. The combination of controller and the impedance model is taken into the control of position and contact force of robot by taking into account the environmental constraints. Finally, higher control accuracy of fuzzy PD impedance control than traditional algorithms is proved by the simulation of PDimpedance control and fuzzy PD impedance control.
In this paper, we propose a novel face descriptor for face recognition, named Local Line Derivative Pattern (LLDP). High-order derivative images in two directions are obtained by convolving original images with Sobel ...
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In this paper, we propose a novel face descriptor for face recognition, named Local Line Derivative Pattern (LLDP). High-order derivative images in two directions are obtained by convolving original images with Sobel Masks. A revised binary coding function is proposed and three standards on arranging the weights are also proposed. Based on the standards, the weights of a line neighborhood in two directions are arranged. The LLDP labels in two directions are calculated with the proposed binary coding function and weights. The labeled image is divided into blocks where spatial histograms are extracted separately and concatenated into an entire histogram as features for recognition. The experiments on the FERET and Extended Yale B show superior performances of the proposed LLDP compared to other existing methods based on the LBP. The results prove that the LLDP has good robustness against expression, illumination and aging variations.
Tool Condition Monitoring (TCM) is a vital demand of advanced manufacturing in order to develop automated unmanned production. Continuing the machining operation with a worn or damaged tool will result in damages to t...
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Tool Condition Monitoring (TCM) is a vital demand of advanced manufacturing in order to develop automated unmanned production. Continuing the machining operation with a worn or damaged tool will result in damages to the workpiece. This problem becomes more important in supplementary machining processes like drilling which the workpiece usually has passed a lot of machining processes and any damage to workpiece at this stage results in high production losses. In this research features of sound pressure and vibration signals in drilling process are recorded and analyzed in order to detect tool wear. Signal statistical features are extracted in time domain, and the features trends as the tool becomes worn are extracted. Frequency spectrum of signals is calculated and Wavelet Packet Decomposition (WPD) is applied to focus on specific frequency bands. In this research capability of both sound and vibration signals for drill wear detection are shown and the most informative features of the signals for wear detection are evaluated and introduced. The results showed that the wavelet packets features make a better contrast between the sharp and the worn tool compared to the primary time domain signal.
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