Introduction:With the development of flexible HVDC technology,the fault diagnosis of MMC-HVDC becomes a new research direction.Based on the fault diagnosis theory,this paper proposes a robust fault diagnosis method to...Introduction:With the development of flexible HVDC technology,the fault diagnosis of MMC-HVDC becomes a new research direction.Based on the fault diagnosis theory,this paper proposes a robust fault diagnosis method to study the fault diagnosis problem of MMC-HVDC systems.Methods:By optimizing the gain matrix in the fault observer,fault detection with good sensitivity and robustness to disturbance is achieved.In the MMC-HVDC system,because of the inherently uncertain system and the presence of various random disturbances,the study of robust fault diagnosis method is particularly important.Results:Simulation studies during various AC faults have been carried out based on a 61-level MMC-HVDC mathematical model.The results validate the feasibility and effectiveness of the proposed fault diagnosis method.Conclusions:So this fault diagnosis method can be further applied to the actual project,to quickly achieve system fault diagnosis and accurately complete fault identification.展开更多
针对受外界海洋环境扰动的欠驱动船舶航向保持控制问题,设计一种基于鲁棒自适应扰动观测器的船舶航向保持控制算法。通过Lyapunov理论,证明设计的控制器半全局一致最终有界稳定(Semi-Global Uniform and Ultimately Bounded,SGUUB)。以...针对受外界海洋环境扰动的欠驱动船舶航向保持控制问题,设计一种基于鲁棒自适应扰动观测器的船舶航向保持控制算法。通过Lyapunov理论,证明设计的控制器半全局一致最终有界稳定(Semi-Global Uniform and Ultimately Bounded,SGUUB)。以“育鲲”轮为船舶模型,建立考虑外界干扰的非线性Nomoto数学模型,在4级海况下进行航向保持仿真试验,并且与已有的控制算法进行对比,仿真结果表明:在达到稳定之后,基于鲁棒自适应扰动观测器的船舶航向保持器能使舵机操舵频率明显下降,舵机损耗较低,进一步验证提出的控制器算法具有较好的控制效果和鲁棒性。展开更多
In this paper,a robust tracking control scheme based on nonlinear disturbance observer is developed for the self-balancing mobile robot with external unknown disturbances.A desired velocity control law is firstly desi...In this paper,a robust tracking control scheme based on nonlinear disturbance observer is developed for the self-balancing mobile robot with external unknown disturbances.A desired velocity control law is firstly designed using the Lyapunov analysis method and the arctan function.To improve the tracking control performance,a nonlinear disturbance observer is developed to estimate the unknown disturbance of the self-balancing mobile robot.Using the output of the designed disturbance observer,the robust tracking control scheme is presented employing the sliding mode method for the selfbalancing mobile robot.Numerical simulation results further demonstrate the effectiveness of the proposed robust tracking control scheme for the self-balancing mobile robot subject to external unknown disturbances.展开更多
A disturbance decoupled fault diagnosis strategy is proposed.This disturbance decoupled fault diagnosis is both robust to disturbances and sensitive to sensor faults of magnetic levitation control system.First,a robus...A disturbance decoupled fault diagnosis strategy is proposed.This disturbance decoupled fault diagnosis is both robust to disturbances and sensitive to sensor faults of magnetic levitation control system.First,a robust controller based on a novel disturbance observer is devised to improve the disturbance attenuation ability,which greatly enhances the robustness of the system.Second,a fault reconstruction technique with adaptive method is presented,along with a strict verification for guaranteeing the robustness of fault.This fault reconstruction technique provides an accurate sensor fault reconstruction.From the results of simulation and experiments conducted on the CMS-04 maglev train,the integrated strategy is robust to model uncertainties of the system and the fault reconstruction algorithm is able to reconstruct the dynamic uncertain faults.展开更多
Current sensor is one of the key elements in the control system of induction motor. Whether the accurate measurement of variables reflecting motor operation status can be made will directly affect the control effect o...Current sensor is one of the key elements in the control system of induction motor. Whether the accurate measurement of variables reflecting motor operation status can be made will directly affect the control effect on motor system and therefore the timely, accurate detection of sensor fault is necessary. This paper brings forward an observer- based method of residual generation and fault detection on the basis of the mathematical model of the induction motor. As whether or not the nonlinear part satisfies the Lipschitz conditions does not limit the observer design, the application of such an observer is expanded. Meanwhile, the contradiction between robust error and fault sensitivity is also settled. The correctness and effectiveness of such method are verified by experimental testing on the simulated fault which also casts light on engineering practice.展开更多
This article proposes a novel method for maintaining the trajectory of an aerial manipulator by utilizing a fast nonsingular terminal sliding mode(FNTSM)manifold and a linear extended state observer(LESO).The develope...This article proposes a novel method for maintaining the trajectory of an aerial manipulator by utilizing a fast nonsingular terminal sliding mode(FNTSM)manifold and a linear extended state observer(LESO).The developed controlmethod applies an FNTSMto ensure the tracking performance’s control accuracy,and an LESO to estimate the system’s unmodeled dynamics and external disturbances.Additionally,an improved salp swarm algorithm(ISSA)is employed to parameter tune the suggested controller by integrating the salp swarmtechnique with a cloud model.This approach also uses a model-free scheme to reduce the complexity of controller design without relying on complex and precise dynamics models.The simulation results show that the proposed controller outperforms linear active rejection disturbance control and PID controllers in terms of transient performance and resilience against lumped disturbances,and the ISSA can help the proposed controller find optimal control parameters.展开更多
文摘Introduction:With the development of flexible HVDC technology,the fault diagnosis of MMC-HVDC becomes a new research direction.Based on the fault diagnosis theory,this paper proposes a robust fault diagnosis method to study the fault diagnosis problem of MMC-HVDC systems.Methods:By optimizing the gain matrix in the fault observer,fault detection with good sensitivity and robustness to disturbance is achieved.In the MMC-HVDC system,because of the inherently uncertain system and the presence of various random disturbances,the study of robust fault diagnosis method is particularly important.Results:Simulation studies during various AC faults have been carried out based on a 61-level MMC-HVDC mathematical model.The results validate the feasibility and effectiveness of the proposed fault diagnosis method.Conclusions:So this fault diagnosis method can be further applied to the actual project,to quickly achieve system fault diagnosis and accurately complete fault identification.
文摘针对受外界海洋环境扰动的欠驱动船舶航向保持控制问题,设计一种基于鲁棒自适应扰动观测器的船舶航向保持控制算法。通过Lyapunov理论,证明设计的控制器半全局一致最终有界稳定(Semi-Global Uniform and Ultimately Bounded,SGUUB)。以“育鲲”轮为船舶模型,建立考虑外界干扰的非线性Nomoto数学模型,在4级海况下进行航向保持仿真试验,并且与已有的控制算法进行对比,仿真结果表明:在达到稳定之后,基于鲁棒自适应扰动观测器的船舶航向保持器能使舵机操舵频率明显下降,舵机损耗较低,进一步验证提出的控制器算法具有较好的控制效果和鲁棒性。
基金supported by the National Natural Science Foundation of China(61573184)the Specialized Research Fund for the Doctoral Program of Higher Education(20133218110013)+1 种基金the Six Talents Peak Project of Jainism Province(2012-XRAY-010)the Fundamental Research Funds for theCentral Universities(NE2016101)
文摘In this paper,a robust tracking control scheme based on nonlinear disturbance observer is developed for the self-balancing mobile robot with external unknown disturbances.A desired velocity control law is firstly designed using the Lyapunov analysis method and the arctan function.To improve the tracking control performance,a nonlinear disturbance observer is developed to estimate the unknown disturbance of the self-balancing mobile robot.Using the output of the designed disturbance observer,the robust tracking control scheme is presented employing the sliding mode method for the selfbalancing mobile robot.Numerical simulation results further demonstrate the effectiveness of the proposed robust tracking control scheme for the self-balancing mobile robot subject to external unknown disturbances.
基金Project(11202230)supported by the National Natural Science Foundation of China
文摘A disturbance decoupled fault diagnosis strategy is proposed.This disturbance decoupled fault diagnosis is both robust to disturbances and sensitive to sensor faults of magnetic levitation control system.First,a robust controller based on a novel disturbance observer is devised to improve the disturbance attenuation ability,which greatly enhances the robustness of the system.Second,a fault reconstruction technique with adaptive method is presented,along with a strict verification for guaranteeing the robustness of fault.This fault reconstruction technique provides an accurate sensor fault reconstruction.From the results of simulation and experiments conducted on the CMS-04 maglev train,the integrated strategy is robust to model uncertainties of the system and the fault reconstruction algorithm is able to reconstruct the dynamic uncertain faults.
基金supported by the Natural Science Foundation of China(No.61104024)
文摘Current sensor is one of the key elements in the control system of induction motor. Whether the accurate measurement of variables reflecting motor operation status can be made will directly affect the control effect on motor system and therefore the timely, accurate detection of sensor fault is necessary. This paper brings forward an observer- based method of residual generation and fault detection on the basis of the mathematical model of the induction motor. As whether or not the nonlinear part satisfies the Lipschitz conditions does not limit the observer design, the application of such an observer is expanded. Meanwhile, the contradiction between robust error and fault sensitivity is also settled. The correctness and effectiveness of such method are verified by experimental testing on the simulated fault which also casts light on engineering practice.
基金supported by the National Natural Science Foundation of China(52005231)Social Development Science and Technology Support Project of Changzhou(CE20215050)Jiangsu Province Graduate Student Practice Innovation Plan(SJCX21_1313,SJCX21_1314).
文摘This article proposes a novel method for maintaining the trajectory of an aerial manipulator by utilizing a fast nonsingular terminal sliding mode(FNTSM)manifold and a linear extended state observer(LESO).The developed controlmethod applies an FNTSMto ensure the tracking performance’s control accuracy,and an LESO to estimate the system’s unmodeled dynamics and external disturbances.Additionally,an improved salp swarm algorithm(ISSA)is employed to parameter tune the suggested controller by integrating the salp swarmtechnique with a cloud model.This approach also uses a model-free scheme to reduce the complexity of controller design without relying on complex and precise dynamics models.The simulation results show that the proposed controller outperforms linear active rejection disturbance control and PID controllers in terms of transient performance and resilience against lumped disturbances,and the ISSA can help the proposed controller find optimal control parameters.
