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  • SAGE Publications  (4)
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  • SAGE Publications  (4)
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  • 1
    Online Resource
    Online Resource
    Parameter-dependent robust anti-saturation control of supercavitating vehicle with time-delay characteristics
    SAGE Publications ; 2023
    In:  Journal of Vibration and Control Vol. 29, No. 13-14 ( 2023-07), p. 3340-3356
    Details
    In: Journal of Vibration and Control, SAGE Publications, Vol. 29, No. 13-14 ( 2023-07), p. 3340-3356
    Abstract: Aiming at the time-delay characteristics and nonlinear planing force of supercavitating vehicles in the process of motion, a parameter-dependent robust controller with anti-saturation compensator is proposed. First, the system model with nonlinear planing force is transformed into a parameter dependent linear-parameter-varying model containing time-delay part and non-time-delay part. Then consider the external disturbance input to design a robust controller and use convex polyhedron theory and the parameter dependence characteristics of controller to ensure the stability of the system with cavitation radius perturbation. Finally, the anti-saturation compensation method is used to overcome the input constraints caused by the physical limitations of the control mechanism. The simulation results show that the controller has good control effect and robust performance for supercavitating vehicles with time-delay characteristics.
    Type of Medium: Online Resource
    ISSN: 1077-5463 , 1741-2986
    URL: Article
    DOI: 10.1177/10775463221094886
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2070247-4
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Flexible method for accurate calibration of large-scale vision metrology system based on virtual 3-D targets and laser tracker
    SAGE Publications ; 2019
    In:  International Journal of Advanced Robotic Systems Vol. 16, No. 6 ( 2019-11-01), p. 172988141989351-
    Details
    In: International Journal of Advanced Robotic Systems, SAGE Publications, Vol. 16, No. 6 ( 2019-11-01), p. 172988141989351-
    Abstract: For the purpose of obtaining high-precision in stereo vision calibration, a large-size precise calibration target, which can cover more than half of the field of view is vital. However, large-scale calibration targets are very difficult to fabricate. Based on the idea of error tracing, a high-precision calibration method for vision system with large field of view by constructing a virtual 3-D calibration target with a laser tracker was proposed in this article. A virtual 3-D calibration target that covers the whole measurement space can be established flexibly and the measurement precision of the vision system can be traceable to the laser tracker. First, virtual 3-D targets by calculating rigid body transformation with unit quaternion method were constructed. Then, the high-order distortion camera model was taken into consideration. Besides, the calibration parameters were solved with Levenberg–Marquardt optimization algorithm. In the experiment, a binocular stereo vision system with the field of view of 4 × 3 × 2 m 3 was built for verifying the validity and precision of the proposed calibration method. It is measured that the accuracy with the proposed method can be greatly improved comparing with traditional plane calibration method. The method can be widely used in industrial applications, such as in the field of calibrating large-scale vision-based coordinate metrology, and six-degrees of freedom pose tracking system for dimensional measurement of workpiece, as well as robotics geometrical accuracy detection and compensation.
    Type of Medium: Online Resource
    ISSN: 1729-8814 , 1729-8814
    URL: Article
    DOI: 10.1177/1729881419893516
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2202393-8
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Optimisation of transmission towers under multiple load cases and constraint conditions with the KSM-GA method
    SAGE Publications ; 2023
    In:  Advances in Mechanical Engineering Vol. 15, No. 6 ( 2023-06)
    Details
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 15, No. 6 ( 2023-06)
    Abstract: Transmission towers operate in complex engineering environments, such as gravity, strong winds, ice and snow, wire breaking and unbalanced loads. Owing to complicated structural parameters, multiple load cases and multiple constraint conditions, the optimal design plan of the structure is difficult to acquire. Popular intelligent algorithms (Genetic Algorithm, GA; Particle Swarm Optimisation, PSO; and others) need to spend time in structural mechanical computation and search processes. To solve this problem, the commercial FE software ABAQUS was used to build the full parametric analytical and computational sub-procedures (general static, linear buckling and cost computation) for the transmission tower under multiple load cases and constraint conditions. Then, the main algorithm procedure, KSM-GA, was developed based on the GA optimiser and Kriging Surrogate Model (KSM). The KSM-GA could import the design variables (such as cross-section properties and structural dimensions) of the transmission tower into the FE computational sub-procedures and read the results (including stresses, displacements, buckling load and weight). The results show that the KSM-GA can reduce the search time more than 30% compared with the GA, PSO and BO-GP( Bayesian Optimisation with Gaussian Process) while the training precision of the KSM is above 99% accuracy of the FE results.
    Type of Medium: Online Resource
    ISSN: 1687-8132 , 1687-8140
    URL: Article
    DOI: 10.1177/16878132231183764
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2501620-9
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    Online Resource
  • 4
    Online Resource
    Online Resource
    A novel hydraulic pulsation reduction component based on discharge and suction self-oscillation: Principle, design and experiment
    SAGE Publications ; 2020
    In:  Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Vol. 234, No. 4 ( 2020-04), p. 433-445
    Details
    In: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, SAGE Publications, Vol. 234, No. 4 ( 2020-04), p. 433-445
    Abstract: The reduction of fluid ripple in pipes is extremely important for the reliability and safety of aircrafts and ships. Currently, most researches only pay attention to the discharge port and ignore the suction port and the inherent characteristic of the axial pump between both ports, which may cause significant underestimation of fluid ripple especially in the closed-loop hydraulic system. Therefore, the aim of this study is to propose a novel passive fluid ripple attenuator, which can simultaneously reduce discharge and suction pulsation of the axial-piston pump, and adapt to the condition of frequent change of load reversing in closed hydraulic system. First, the phase matching rule is discovered between discharge and suction ripple, and then based on that, the proposed discharge and suction self-oscillation principle is verified through simulation on the phase relationship of the pump internal pistons, instead of considering the two separately as before. The attenuator designed with the concept of the discharge and suction self-oscillation principle is presented, and models of how ripple generates and the attenuator works are represented analytically. The corresponding simulation model is established, and the result indicates that the ripple of both ports of the piston pump is weakened significantly. Moreover, one testing platform is developed, and the experimental study is conducted on the discharge and suction ripple. It proves that the proposed attenuator based on discharge and suction self-oscillation principle can reduce the fluid ripple effectively.
    Type of Medium: Online Resource
    ISSN: 0959-6518 , 2041-3041
    URL: Article
    DOI: 10.1177/0959651819871775
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2024903-2
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