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徐强, 章家岩, 杜翠翠, 冯旭刚. 基于遗传算法的水下机器人滑模变结构控制策略[J]. 安徽工业大学学报(自然科学版), 2016, 33(3): 261-265. DOI: 10.3969/j.issn.1671-7872.2016.03.012
引用本文: 徐强, 章家岩, 杜翠翠, 冯旭刚. 基于遗传算法的水下机器人滑模变结构控制策略[J]. 安徽工业大学学报(自然科学版), 2016, 33(3): 261-265. DOI: 10.3969/j.issn.1671-7872.2016.03.012
XU Qiang, ZHANG Jiayan, DU Cuicui, FENG Xugang. Sliding Mode Variable Structure Control Strategy of Underwater Vehicle Based on Genetic Algorithm[J]. Journal of Anhui University of Technology(Natural Science), 2016, 33(3): 261-265. DOI: 10.3969/j.issn.1671-7872.2016.03.012
Citation: XU Qiang, ZHANG Jiayan, DU Cuicui, FENG Xugang. Sliding Mode Variable Structure Control Strategy of Underwater Vehicle Based on Genetic Algorithm[J]. Journal of Anhui University of Technology(Natural Science), 2016, 33(3): 261-265. DOI: 10.3969/j.issn.1671-7872.2016.03.012

基于遗传算法的水下机器人滑模变结构控制策略

Sliding Mode Variable Structure Control Strategy of Underwater Vehicle Based on Genetic Algorithm

  • 摘要: 针对水下机器人需快速、准确跟踪目标的要求,在分析其非线性四自由度动力学模型的基础上,运用李雅普诺夫稳定性分析法,提出一种基于遗传算法的水下机器人滑模变结构控制方法。设计遗传-滑模控制器,利用遗传算法对控制器参数进行优化以消减抖振,并通过动态选优,选取全局最优解,进而提高收敛速度,实现运动状态的实时调整。仿真结果表明,该控制方法能够高效地获取全局最优解,并具有较强的自适应能力,能够有效地实现水下机器人的轨迹跟踪。

     

    Abstract: To track the target quickly and accurately, based on the analysis of the four degree of freedom nonlinear dynamic model, and with Lyapunov stability analysis method, a sliding mode variable structure control method for autonomic underwater vehicle (AUV) was proposed. A genetic-sliding mode controller was designed, and its parameters were optimized with genetic algorithm to reduce vibration. In addition, the global optimal solution was chosen dynamically, so as to improve the convergence speed, and implement the motion state real-time adjustment. The simulation results demonstrat that the method can obtain the global optimal solution efficiently with better self-adaptive ability and can realize the trajectory tracking of the AUV efficiently.

     

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