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基于RBF神经网络的拟滑模控制 被引量:1
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作者 赵亚丹 王亚慧 《北京建筑工程学院学报》 2007年第4期46-49,共4页
将一种拟滑模控制算法与径向基函数神经网络相结合,利用神经网络的网络权值具有自适应学习的能力,使拟滑模控制器的相关参数具有自适应性,从而优化控制信号,削弱系统抖振.并给出了具体的设计方案,仿真结果表明,所给出方案是有效、可行的.
关键词 离散时间系统 拟滑模控制 RBF神经网络
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Marine Predator Algorithm-based Sliding Mode Control of a Novel Motion Simulator for High Column Sloshing Experiments
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作者 DU Zun-feng CHEN Xiang-yu +2 位作者 BAI Hao ZHU Hai-ming HAN Mu-xuan 《船舶力学》 EI CSCD 北大核心 2024年第12期1835-1848,共14页
Sloshing experiment is crucial to determine the reaction performance of regeneration columns on an offshore floating platform.A novel type of column motion simulating device and a Marine Predator Algorithm-based Slidi... Sloshing experiment is crucial to determine the reaction performance of regeneration columns on an offshore floating platform.A novel type of column motion simulating device and a Marine Predator Algorithm-based Sliding Mode Controller(MPA-SMC)are proposed for such sloshing experiments.The simulator consists of a Stewart platform and a steel framework.The Stewart platform is located at the column's center of gravity(CoG)and supported by the steel framework.The platform's hydraulic servo system is controlled by a sliding mode controller with parameters optimized by MPA to improve robustness and precision.A numerical sloshing experiment is conducted using the proposed device and controller.The results show that the novel motion simulator has lower torque during the column sloshes,and the proposed controller performs better than a well-tuned PID controller in terms of target tracking precision and anti-interference capability. 展开更多
关键词 regeneration column sloshing experiment motion simulator Stewart platform sliding mode control marine predator algorithm
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A Potential Flow Based Flight Simulator for an Underwater Glider 被引量:3
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作者 Surasak Phoemsapthawee Marc Le Boulluec +1 位作者 Jean-Marc Laurens Fran ois Deniset 《Journal of Marine Science and Application》 2013年第1期112-121,共10页
Underwater gliders are recent innovative types of autonomous underwater vehicles (AUVs) used in ocean exploration and observation. They adjust their buoyancy to dive and to return to the ocean surface. During the ch... Underwater gliders are recent innovative types of autonomous underwater vehicles (AUVs) used in ocean exploration and observation. They adjust their buoyancy to dive and to return to the ocean surface. During the change of altitude, they use the hydrodynamic forces developed by their wings to move forward. Their flights are controlled by changing the position of their centers of gravity and their buoyancy to adjust their trim and heel angles. For better flight control, the understanding of the hydrodynamic behavior and the flight mechanics of the underwater glider is necessary. A 6-DOF motion simulator is coupled with an unsteady potential flow model for this purpose. In some specific cases, the numerical study demonstrates that an inappropriate stabilizer dimension can cause counter-steering behavior. The simulator can be used to improve the automatic flight control. It can also be used for the hydrodynamic design optimization of the devices. 展开更多
关键词 underwater glider potential flow Newton-Euler equation autonomous underwater vehicles (AUVs) flight simulator
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