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Zhe Luo – One of the best experts on this subject based on the ideXlab platform.

  • adaptive bees algorithm bioinspiration from honeybee foraging to optimize fuel economy of a semi track Air Cushion Vehicle
    The Computer Journal, 2011
    Co-Authors: Zhe Luo, D T Pham, Renxi Qiu
    Abstract:

    This interdisciplinary study covers bionics, optimization and Vehicle engineering. Semi-track Air–Cushion Vehicle (STACV) provides a solution to transportation on soft terrain, whereas it also brings a new problem of excessive fuel consumption. By mimicking the foraging behaviour of honeybees, the bioinspired adaptive bees algorithm (ABA) is proposed to calculate its running parameters for fuel economy optimization. Inherited from the basic algorithm prototype, it involves parallel-operated global search and local search, which undertake exploration and exploitation, respectively. The innovation of this improved algorithm lies in the adaptive adjustment mechanism of the range of local search (called ‘patch size’) according to the source and the rate of change of the current optimum. Three gradually in-depth experiments are implemented for 143 kinds of soils. First, the two optimal STACV running parameters present the same increasing or decreasing trend with soil parameters. This result is consistent with the terramechanics-based theoretical analysis. Second, the comparisons with four alternative algorithms exhibit the ABA’s effectiveness and efficiency, and accordingly highlight the advantage of the novel adaptive patch size adjustment mechanism. Third, the impacts of two selected optimizer parameters to optimization accuracy and efficiency are investigated and their recommended values are thus proposed.

  • the computing of the optimal power consumption for semi track Air Cushion Vehicle using hybrid generalized extremal optimization
    Applied Mathematical Modelling, 2009
    Co-Authors: Dong Xie, Zhe Luo
    Abstract:

    Abstract A new stochastic method named hybrid generalized extremal optimization (HGEO) is proposed in this paper. It combines genetic algorithms (GAs) and generalized extremal optimization (GEO). In order to extend GEO’s mutation operator to accelerate convergence speed and be easily incorporated into HGEO, the real coded GEO is first developed to population-base GEO (PGEO), and then incorporated into the HGEO in the paper. Constraints consideration for using the HGEO and the effects of related operators are also investigated. Finally, the performance of the HGEO is fully investigated compared with other related algorithms to find the optimal power consumption for the semi-track Air–Cushion Vehicle (STACV). The results show that the HGEO has better performance than GAs or other related simpler algorithms.

  • load distribution control system design for a semi track Air Cushion Vehicle
    Journal of Terramechanics, 2007
    Co-Authors: Zhe Luo
    Abstract:

    This paper describes the design principle for a semi-track Air–Cushion Vehicle working on soft terrain. A novel structure, i.e., a flexible joint mechanism is designed for the semi-track Air–Cushion Vehicle suspension system. Focusing on optimizing the total power consumption of the Vehicle, three main issues were studied in this paper. First, a theoretical model for minimizing the total power demand of the Vehicle is developed. The effects of load distribution on total rolling resistance and total power requirement are calculated which are compared with the prototype experiment data. Second, the optimization procedure is presented. Third, a control scheme is proposed to minimize the power consumption by using a self-tuning PID fuzzy controller and the feasibility was examined by the simulations performed in Matlab/Simulink software environment.

Yu Fan – One of the best experts on this subject based on the ideXlab platform.

  • Slip Ratio Control Simulation for a Semi-Track Air–Cushion Vehicle
    Journal of Shanghai Jiaotong University, 2008
    Co-Authors: Yu Fan
    Abstract:

    Based on the analysis of soil mechanics for a semi-track Air–Cushion Vehicle(STACV),theoretical models for traction efficiency and total power consumption were established,and relationships between slip ratio and traction efficiency,total power consumption were examined respectively.In two different speed conditions,i.e.starting acceleration and constant speed cases,maximizing traction efficiency and minimizing total power consumption were respectively chosen as control objectives.A slip ratio control system with a fuzzy PID controller was designed to achieve these control objectives by regulating driving torque of semi-tracks’ driving wheels.In MATLAB/Simulink software environment,simulations were carried out to the proposed control system.The simulation results show that,for given Vehicle parameters and soil condition,the optimal operating state can be obtained and maintained by using the designed control system.It can provide a theoretical guidance for the control system design of STACVs.

  • Multi-parameter Optimization for a Semi-Track Air–Cushion Vehicle Based on Genetic Algorithms
    Drive System Technique, 2008
    Co-Authors: Yu Fan
    Abstract:

    Based on the analyses of the resistances for a semi-track Air–Cushion Vehicle(STACV),a theoretical model for fuel consumption of 100 km is established,and the effects of fan rotational speed and Vehicle forward speed on fuel consumption of 100 km are examined in sandy loam working condition.In a MATLAB software environment,a basic genetic algorithms model is designed to optimize the fuel consumption and relevant parameters.The optimization result of the basic model is comparatively ideal;however,there exists some problems in its optimization process.By analyzing dejects of the basic genetic algorithms,the main sources of the problems in optimization process are figured out,and the pertinent improvements of algorithms model are proposed.The optimization process and result of the improved genetic algorithms indicate its effectiveness and stability.

  • Slip ratio control for a semi-track Air–Cushion Vehicle
    2007 IEEE International Conference on Vehicular Electronics and Safety, 2007
    Co-Authors: Xu Shuo, Yu Fan, Luo Zhe, Zhang Yong-chao
    Abstract:

    Based on the analyses of the resistances and driving force for a semi-track Air–Cushion Vehicle (STACV) operating in severe working conditions, the theoretical models for traction efficiency and total power consumption are established, and the relationships between slip ratio and traction efficiency, total power consumption are examined respectively. In different speed conditions, the control targets are selected correspondingly. For example, in the present study, maximizing traction efficiency and minimizing total power consumption are selected as control targets respectively in starting acceleration case and uniform velocity case. A slip ratio control system with a fuzzy PID controller is designed to achieve the control targets by regulating driving torque for the semi-tracks’ driving wheels. In MATLAB/Simulink software environment, simulations are carried out to examine the proposed control system in different operating conditions including a level and a ramp terrain cases. Simulation results show that the optimal operation state can be obtained and maintained by using the designed control system.

Chenglong Wang – One of the best experts on this subject based on the ideXlab platform.

  • design of driver assistance system for Air Cushion Vehicle with uncertainty based on model knowledge neural network
    Ocean Engineering, 2019
    Co-Authors: Shuang Gao, Chenglong Wang
    Abstract:

    Abstract In this paper, considering the difficult maneuverability of the Air Cushion Vehicle (ACV), a driver assistance system (DAS) of ACV including an intuitive human-computer interface, DAS monitor and DAS controller is developed for humans. The human-computer interface is easy to be understood and used for humans. And as DAS monitor, appropriate sensors installed at handles of rudders and propellers are used to monitor driver’s operational changes. For the design of DAS controller, model knowledge neural network (MKNN) method is first proposed in this paper to deal with the parameter uncertainty of ACV’s complex model. Then the MKNN-based controller is designed as the DAS controller. The DAS with MKNN-based controller can assist drivers in better control operations according to their action instructions. And numerical simulations are implemented to demonstrate the effectiveness and superiority of the developed DAS with MKNN-based controller.

  • safety guaranteed course control of Air Cushion Vehicle with dynamic safe space constraint
    Journal of Control Science and Engineering, 2018
    Co-Authors: Shuang Gao, Chenglong Wang
    Abstract:

    This paper develops a safety-guaranteed course controller for Air Cushion Vehicle (ACV). As the safety criterion, the unique safety limit of ACV including turn rate (TR) and sideslip angle (SA) changes with the speed when ACV is turning. To be more intuitive to show the change of safety limit and more convenient for safety monitoring and control, dynamic safe space of ACV is proposed. If the work point is within the safe space during the manual operation or automatic control, the sailing of ACV is safe. Then, the safety-guaranteed controller is designed to keep TR and SA within the safe space during the course control process based on the dynamic safe space constraint, terminal sliding mode control, and adaptive mechanism. The adaptive mechanism can effectively estimate the system uncertainty and external disturbances online without the requirement of their upper bounds. The proposed controller guarantees the convergence of tracking error. Simulations are implemented to demonstrate the efficacy of the designed controller.

  • ICAL – Course keeping of an Air Cushion Vehicle based on switching control
    2012 IEEE International Conference on Automation and Logistics, 2012
    Co-Authors: Chenglong Wang, Li-na Zhang, Hong-yu Zhang
    Abstract:

    The maneuverability of an Air Cushion Vehicle (ACV) is mostly different from a conventional surface ship, so its course-keeping problems based on switching control were studied. The fuzzy PID control and multiple model control method based on fuzzy switching are respectively applied to the course-keeping of Air Cushion Vehicle, and simulation experiments are conducted. The experimental results show that the fuzzy PID control with dual-mode switching has a good dynamic performance and steady-state performance, but the control variable should jump when switching occur, there is its shortcoming. The multi-model control method based on fuzzy switching control not only can achieve a good course-keeping effect, but also there no variable jump, it is a good control method for Air Cushion Vehicle course keeping.

Xiaocheng Shi – One of the best experts on this subject based on the ideXlab platform.

  • Air Cushion Vehicle track-keeping based on AGA auto disturbance rejection control
    2011 IEEE International Conference on Mechatronics and Automation, 2011
    Co-Authors: Xiaocheng Shi, Zhenye Liu, Chenglong Wang
    Abstract:

    Air Cushion Vehicle is a kind of ship with high performance including high speed and amphibian. However, with the nonlinear characteristic, it is difficult to get good maneuverability. In order to improve the control quality of track-keeping, AGA auto disturbance rejection controllers are designed for track-guidance and heading control according to its peculiarities. Different from many previous literatures, triangle track-keeping algorithm for any planned tracks is used to improve the control accuracy. On one hand, interior and external disturbance can be estimated by the extended state observer, simultaneously, the system can be compensated by the total estimation of disturbance. On the other hand, adaptive genetic algorithm (AGA) is used for real-time optimizing the control coefficients of ADRC. Simulations show that the controller proposed in this paper has strong adaptability, fast response and good stability, we can obtain good control effect in harsh environment.

  • Research on the Course and Turn-rate Coordinated Control for an Air Cushion Vehicle
    2007 International Conference on Mechatronics and Automation, 2007
    Co-Authors: Fuguang Ding, Xiaocheng Shi
    Abstract:

    The characteristics of the Air Cushion Vehicle (ACV) show that the ACV is easy to be Broaching-to (the craft suddenly and unintentionally thrown or cause to turn, broadside to its original direction of motion). If the turning-rate is not to be controlled during ACV in the course keeping, the turning-rate and slide-angle will reach the warning or danger value that maybe led the ACV to be broaching-to or turndown. In this paper, the course and turning-rate control methods based on nonlinear back-stepping control theory are researched, and the coordinated control strategies are given. Control method and coordinated control strategy are used in the real-time ACV automatic control system. The results of the simulation show that the control method and coordinated control strategy are very effective and make the ACV moved more gently and stability and sail much more safely.

  • simulation study of plane motion of Air Cushion Vehicle
    Journal of Marine Science and Application, 2003
    Co-Authors: Shuqin Zhao, Xiaocheng Shi, Yilong Shi, Xinqian Bian
    Abstract:

    This research is on horizontal plane motion equations of Air Cushion Vehicle (ACV) and its simulation. To investigate this, a lot of simulation study including ACV’s voyage and turning performance has been done. It was found that the voyage simulation results were accorded with ACV own characteristic and turning simulation results were accorded with USA ACV’s movement characteristic basically.

Sheng-kun Zhang – One of the best experts on this subject based on the ideXlab platform.

  • Sea keeping analysis of Air Cushion Vehicle with different wave angles under the operation resistance
    Journal of Shanghai Jiaotong University (Science), 2009
    Co-Authors: Jia Zhou, Wen-yong Tang, Sheng-kun Zhang
    Abstract:

    The Air Cushion Vehicle (ACV) sea keeping characteristic under different wave directions with the operation resistance is discussed with the couples of the heave, pitch roll motion and the pressure of the Cushion. In previous researches, only wave and cross wave direction were discussed. Then a Matlab program is made to calculate the united frequency responses of heave, pitch and roll amplitude of the craft, under different wave frequencies and different wave directions. The results of the research depict some dangerous situations under which the sympathetic vibration happens in heave, pitch and roll motion and the amplitudes are extremely higher than those under the ordinary conditions. These results will be helpful in ACV design and operation.

  • nonlinear fem simulation of Air Cushion Vehicle acv skirt joint under tension loading
    Naval Engineers Journal, 2009
    Co-Authors: Jia Zhou, Wen-yong Tang, Jinting Guo, Sheng-kun Zhang
    Abstract:

    The mechanical properties of an Air Cushion Vehicle (ACV) skirt cloth, which is a nonlinear rubbercoated fabric, are tested on a Series IX 4465 electron tension machine manufactured by Instron Company. Compared with the Mooney–Rivlin and Ogden form, the second-order Mooney–Rivlin form agrees with the model test result better. The ultimate bearing capacity of an ACV skirt joint structure is tested on a mechanical tension machine and the ultimate load is recorded manually. Then, considering the contact effect of each assembly and the large-displacement of skirt elements, a nonlinear finite element method (FEM)-based simulation process of an ACV skirt joint structure under tension loading is presented. The simulation process comprises three steps: assembly of parts, bolts’ tightening, and tensioning the skirt cloth. Under these loadings, the stress distribution and deformation of the skirt cloth, and the cloth broken locations and directions are obtained. These results agree well with the test results. As for the ultimate bearing capacity of the skirt joint, the simulation result is slightly smaller than the test result. Thus, this FEM-based simulation method is proven to be reliable and relatively conservative.