With the rapid development of the shipping industry,the safety and comfort of ship transportation have been paid more and more attention,and the pitch and heave motion of ships are the most serious factors.In this pap...With the rapid development of the shipping industry,the safety and comfort of ship transportation have been paid more and more attention,and the pitch and heave motion of ships are the most serious factors.In this paper,the longitudinal motion mathematical model of YuKun is esta b lished.By assigning the zero-pole to the left half-plane and using the properties of the symmetric matrix,the shaping weighting functions matrix is designed to stabilize the multi-input multi-output(MIMO)system of YuKun.Finally,a new concise robust controller is designed using the steady output of the shaped system.The simulation results show that under the control of the concise robust controller,the pitch angle and heave of YuKun decrease by 79.9% and 86.2%,respectively.Theoretical analysis and simulation results show that the concise robust controller has a good control effect on the longitudinal motion of YuKun,and is simple and easy to use,with clear engineering significance.展开更多
This paper investigates the problem of parameter identification for ship nonlinear Nomoto model with small test data,a nonlinear innovation-based identification algorithm is presented by embedding sigmoid function in ...This paper investigates the problem of parameter identification for ship nonlinear Nomoto model with small test data,a nonlinear innovation-based identification algorithm is presented by embedding sigmoid function in the stochastic gradient algorithm.To demonstrate the validity of the algorithm,an identification test is carried out on the ship‘SWAN’with only 26 sets of test data.Furthermore,the identification effects of the least squares algorithm,original stochastic gradient algorithm and the improved stochastic gradient algorithm based on nonlinear innovation are compared.Generally,the stochastic gradient algorithm is not suitable for the condition of small test data.The simulation results indicate that the improved stochastic gradient algorithm with sigmoid function greatly increases its accuracy of parameter identification and has 14.2%up compared with the least squares algorithm.Then the effectiveness of the algorithm is verified by another identification test on the ship‘Galaxy’,the accuracy of parameter identification can reach more than 95%which can be used in ship motion simulation and controller design.The proposed algorithm has advantages of the small test data,fast speed and high accuracy of identification,which can be extended to other parameter identification systems with less sample data.展开更多
基金This work is partially supported by the National Science Foundation of China(Grant No.51679024)Dalian Innovation TeamSupport Plan in the Key Research Field(Grant No.2020RT08)The Funda mental Research Funds for the Central Universities(Grant No.3132021139)。
文摘With the rapid development of the shipping industry,the safety and comfort of ship transportation have been paid more and more attention,and the pitch and heave motion of ships are the most serious factors.In this paper,the longitudinal motion mathematical model of YuKun is esta b lished.By assigning the zero-pole to the left half-plane and using the properties of the symmetric matrix,the shaping weighting functions matrix is designed to stabilize the multi-input multi-output(MIMO)system of YuKun.Finally,a new concise robust controller is designed using the steady output of the shaped system.The simulation results show that under the control of the concise robust controller,the pitch angle and heave of YuKun decrease by 79.9% and 86.2%,respectively.Theoretical analysis and simulation results show that the concise robust controller has a good control effect on the longitudinal motion of YuKun,and is simple and easy to use,with clear engineering significance.
基金funded by the National Natural Science Foundation of China,grant number 51679024,51909018the Science and Technology Innovation Fundation of Dalian City,grant number 2019J12GX026+1 种基金the Fundamental Research Funds for the Central University,grant number 3132019343,3132021132the University 111 Project of China,grant number B08046.
文摘This paper investigates the problem of parameter identification for ship nonlinear Nomoto model with small test data,a nonlinear innovation-based identification algorithm is presented by embedding sigmoid function in the stochastic gradient algorithm.To demonstrate the validity of the algorithm,an identification test is carried out on the ship‘SWAN’with only 26 sets of test data.Furthermore,the identification effects of the least squares algorithm,original stochastic gradient algorithm and the improved stochastic gradient algorithm based on nonlinear innovation are compared.Generally,the stochastic gradient algorithm is not suitable for the condition of small test data.The simulation results indicate that the improved stochastic gradient algorithm with sigmoid function greatly increases its accuracy of parameter identification and has 14.2%up compared with the least squares algorithm.Then the effectiveness of the algorithm is verified by another identification test on the ship‘Galaxy’,the accuracy of parameter identification can reach more than 95%which can be used in ship motion simulation and controller design.The proposed algorithm has advantages of the small test data,fast speed and high accuracy of identification,which can be extended to other parameter identification systems with less sample data.