首页|基于自适应S面算法的小型ROV艏向和深度运动控制研究

基于自适应S面算法的小型ROV艏向和深度运动控制研究

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带缆遥控水下机器人(ROV)系统艏向与深度运动具有强非线性和运行环境不确定性等特点。针对ROV的运动特点,构建运动控制模型并进行化简,通过构建自适应S面控制法对艏向与深度进行控制,并利用Lyapunov的稳定性判据证明该控制法的稳定性,通过仿真验证了该控制法具有良好的稳定性和控制品质。同时,与S面控制法相比,自适应S面控制具有更好的动态性能与静态性能,调节速度快、稳定性强,能够准确控制ROV运动。
Research on Bow and Depth Motion Control of Small ROV Based on Adaptive S-plane Algorithm
The bow and depth motions of the remote operated vehicle(ROV)system with cable are characterized by strong nonlin-earity and uncertainty of the operating environment,etc.In view of the motion characteristics of the ROV,a motion control model was constructed and simplified,and the adaptive S-plane control method was constructed to control the bow and depth,the stability of the control method was proved by using Lyapunov's stability criterion,and the stability and control quality of the controller method was veri-fied by simulation.Meanwhile,compared with the S-plane control method,the adaptive S-plane control method has better dynamic and static performance,fast adjustment speed,and strong stability,and it can accurately control the ROV motion.

remote operated vehicle(ROV)adaptive S-plane controlbow controldepth control

李国虎、周焕银

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东华理工大学机械与电子工程学院,江西南昌 330013

ROV 自适应S面控制 艏向控制 深度控制

国家自然科学基金地区科学基金江西省重点基金

6206300120224ACB204022

2024

机床与液压
中国机械工程学会 广州机械科学研究院有限公司

机床与液压

CSTPCD北大核心
影响因子:0.32
ISSN:1001-3881
年,卷(期):2024.52(8)