This paper proposes a separated trajectory tracking controller for fishing ships at sea state level 6 to solve the trajectory tracking problem of a fishing ship in a 6-level sea state,and to adapt to different working...This paper proposes a separated trajectory tracking controller for fishing ships at sea state level 6 to solve the trajectory tracking problem of a fishing ship in a 6-level sea state,and to adapt to different working environments and safety requirements.The nonlinear feedback method is used to improve the closed-loop gain shaping algorithm.By introducing the sine function,the problem of excessive control energy of the system can be effectively solved.Moreover,an integral separation design is used to solve the influence of the integral term in conventional PID controllers on the transient performance of the system.In this paper,a common 32.98 m large fiberglass reinforced plastic(FRP)trawler is adopted for simulation research at the winds scale of Beaufort No.7.The results show that the track error is smaller than 3.5 m.The method is safe,feasible,concise and effective and has popularization value in the direction of fishing ship trajectory tracking control.This method can be used to improve the level of informatization and intelligence of fishing ships.展开更多
针对船舶航行中横摇运动控制问题,提出一种基于反步法与径向基函数神经网络(Radial Basis Function Neural Network,RBFNN)的船舶鳍减摇控制律,以实现船舶自适应减摇控制。首先,基于反步法设计获得PD型的控制器,并使用闭环增益成形算法...针对船舶航行中横摇运动控制问题,提出一种基于反步法与径向基函数神经网络(Radial Basis Function Neural Network,RBFNN)的船舶鳍减摇控制律,以实现船舶自适应减摇控制。首先,基于反步法设计获得PD型的控制器,并使用闭环增益成形算法确定其初始参数值;其次,引入RBFNN对PD控制器的初始参数进行优化,以经归一化处理的船舶横摇角度和横摇角速度作为网络输入,动态调节控制参数,从而实现自适应控制;最后,通过在随机波环境下的数值仿真试验,验证了所提控制器的减摇性能。仿真结果表明,该控制器能有效抑制船舶横摇运动,减摇率超过94%,并展现出优异的自适应能力。因此,本研究提出的控制策略可为船舶横摇运动控制提供一种高效且实用的解决方案。展开更多
基金supported by Liaoning Provincial Department of Education 2023 Basic Research Projects for Universities and Colleges(Grant No.JYTQN2023131)Liaoning Provincial Science and Technology Program:Cooperative Control and Recognition of Unmanned Vessels for Fishing Vessel Operation Scenarios(Grant No.600024003)Liaoning Provincial Department of Education Scientific Research Funding Project(Grant No.LJKZ0726).
摘要This paper proposes a separated trajectory tracking controller for fishing ships at sea state level 6 to solve the trajectory tracking problem of a fishing ship in a 6-level sea state,and to adapt to different working environments and safety requirements.The nonlinear feedback method is used to improve the closed-loop gain shaping algorithm.By introducing the sine function,the problem of excessive control energy of the system can be effectively solved.Moreover,an integral separation design is used to solve the influence of the integral term in conventional PID controllers on the transient performance of the system.In this paper,a common 32.98 m large fiberglass reinforced plastic(FRP)trawler is adopted for simulation research at the winds scale of Beaufort No.7.The results show that the track error is smaller than 3.5 m.The method is safe,feasible,concise and effective and has popularization value in the direction of fishing ship trajectory tracking control.This method can be used to improve the level of informatization and intelligence of fishing ships.
摘要针对船舶航行中横摇运动控制问题,提出一种基于反步法与径向基函数神经网络(Radial Basis Function Neural Network,RBFNN)的船舶鳍减摇控制律,以实现船舶自适应减摇控制。首先,基于反步法设计获得PD型的控制器,并使用闭环增益成形算法确定其初始参数值;其次,引入RBFNN对PD控制器的初始参数进行优化,以经归一化处理的船舶横摇角度和横摇角速度作为网络输入,动态调节控制参数,从而实现自适应控制;最后,通过在随机波环境下的数值仿真试验,验证了所提控制器的减摇性能。仿真结果表明,该控制器能有效抑制船舶横摇运动,减摇率超过94%,并展现出优异的自适应能力。因此,本研究提出的控制策略可为船舶横摇运动控制提供一种高效且实用的解决方案。