吕翀, 庞永杰, 张磊. 基于MPSO算法的水下机器人PD控制器[J]. 北京工业大学学报, 2010, 36(6): 728-734.
    引用本文: 吕翀, 庞永杰, 张磊. 基于MPSO算法的水下机器人PD控制器[J]. 北京工业大学学报, 2010, 36(6): 728-734.
    LÜ Chong, PANG Yong-jie, ZHANG Lei. AUV PD Controller Based on MPSO Algorithm[J]. Journal of Beijing University of Technology, 2010, 36(6): 728-734.
    Citation: LÜ Chong, PANG Yong-jie, ZHANG Lei. AUV PD Controller Based on MPSO Algorithm[J]. Journal of Beijing University of Technology, 2010, 36(6): 728-734.

    基于MPSO算法的水下机器人PD控制器

    AUV PD Controller Based on MPSO Algorithm

    • 摘要: 为了解决传统水下机器人运动控制器只针对单独的自由度进行解耦控制, 从而忽略了各自由度之间耦合效应的问题, 设计了一个新型的PD控制器.该控制器在水下机器人6个自由度动力学模型的基础上, 根据实际需要进行简化, 利用一个运动控制方程实现4个自由度的运动控制.同时采用改进PSO算法自寻优确定控制方程的参数, 以提高效率, 减少设计时主观因素的影响.最后以某型AUV (autonomous underwater vehicle) 为控制对象及试验平台, 针对所设计的控制器进行仿真试验, 结果验证了该控制器在水下机器人运动控制中的可行性.

       

      Abstract: Traditional motion controller for AUV targets at single degree of freedom (DOF) to decouple in decoupling control, so it ignores the coupling effects of each DOF and makes the control effect not satisfactory in the complex navigation state.In order to improve the coupling effects, a novel motion PD controller is designed.This controller is constructed on the hydrodynamic model of AUV's six-DOFs and simplified according to the practical needs.It uses one motion control equation to realize the control in four-DOFs.Because of the number of the control parameters is so large, it is hard to adjust them by manual.So modified Particle Swarm Optimization (MPSO) is used to determine the parameters of control equation to improve efficiency and reduce the bad effect caused by subjective factors.The last based on the simulation platform of a certain plant-AUV, simulation experiments are conducted for the proposed controller and the results show that the presented controller is feasible in application to AUV.

       

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