The Experts below are selected from a list of 38952 Experts worldwide ranked by ideXlab platform
Qun Zong - One of the best experts on this subject based on the ideXlab platform.
-
robust adaptive backstepping control for an uncertain nonlinear system with Input Constraint based on lyapunov redesign
International Journal of Control Automation and Systems, 2017Co-Authors: Fang Wang, Qin Zou, Qun ZongAbstract:This paper presents the control problem for a class of n-order semi-strict nonlinear system subjects to unknown parameters, uncertainty, and Input Constraint. The controller is designed via combining backstepping control and Lyapunov redesign. Firstly, based on the Lyapunov function, a composite adaptive law is constructed to estimate the unknown parameters. To sequel, a robust term is designed to handle the matched and unmatched uncertainties on the basis of Lyapunov redesign technique. The “explosion of terms” problem that inherent in backstepping control is avoided by the robust second-order filters. Thirdly, an auxiliary signal provided by the auxiliary system is employed to handle the influence of the Input Constraint. It is proved that the closed-loop system is stable in a Lyapunov framework theory and the semi-global uniformly ultimate boundedness of all signals is achieved. Finally, numerical simulations are carried out to evaluate the performance of the proposed control strategy. Numerical example and the application of the hypersonic vehicle (HSV) tracking control are simulated to demonstrate the effectiveness of the proposed control scheme.
-
disturbance observer based sliding mode backstepping control for a re entry vehicle with Input Constraint and external disturbance
Transactions of the Institute of Measurement and Control, 2016Co-Authors: Fang Wang, Qun Zong, Qi Dong, Bailing TianAbstract:An attitude controller is designed for a reusable launch vehicle (RLV) during the re-entry phase with Input Constraint, model uncertainty and external disturbance. A control-oriented model with mat...
-
nonlinear robust adaptive deterministic control for flexible hypersonic vehicles in the presence of Input Constraint
Asian Journal of Control, 2015Co-Authors: Bailing Tian, Wenru Fan, Qun ZongAbstract:A nonlinear deterministic robust control scheme is developed for a flexible hypersonic vehicle with Input saturation. Firstly, the model analysis is conducted for the hypersonic vehicle model via the Input-output linearized technique. Secondly, the sliding mode manifold is designed based on homogeneity theory. Then an adaptive high order sliding mode control scheme is proposed to achieve tracking for the step change in altitude and velocity for hypersonic vehicles where the uncertainty boundary is unknown. Furthermore, the control Input Constraint is investigated and another new adaptive law is proposed to estimate the uncertainties and to guarantee the stability of the system with Input saturation. Finally, the simulation results are provided to demonstrate the effectiveness of the proposed method.
-
attitude control of reusable launch vehicle in reentry phase with Input Constraint via robust adaptive backstepping control
International Journal of Adaptive Control and Signal Processing, 2015Co-Authors: Fang Wang, Changchun Hua, Qun ZongAbstract:Summary The paper presents an attitude control problem of reusable launch vehicles in reentry phase. The controller is designed based on synthesizing robust adaptive control into backstepping control procedure in the presence of Input Constraint, model uncertainty, and external disturbance. In view of the coupling between the states of translational motion and the states of attitude motion, the control-oriented model is developed, where the uncertainties do not satisfy linear parameterization assumption. The time derivative of the virtual control Input is viewed as a part of uncertain term to facilitate the analytic computations and avoid the ‘explosion of terms’ problem. The robust adaptive backstepping control scheme is first proposed to overcome the uncertainty and external disturbance. The robust adaptive law is employed to estimate the unknown bound of the uncertain term. Furthermore, the attitude control problem subjects to Input Constraint is studied, and the constrained robust adaptive backstepping control strategy is proposed. Within the Lyapunov theory framework, the stability analysis of the closed-loop system is carried out, and the tracking error converges to a random neighborhood around origin. Six-degree-of-freedom reusable launch vehicle simulation results are presented to show the effectiveness of the proposed control strategy. Copyright © 2015 John Wiley & Sons, Ltd.
-
robust adaptive constrained backstepping flight controller design for re entry reusable launch vehicle under Input Constraint
Advances in Mechanical Engineering, 2015Co-Authors: Qin Zou, Fang Wang, Lianghua Zou, Qun ZongAbstract:A nonlinear constrained controller is designed for a reusable launch vehicle during re-entry phase in the presence of model uncertainty, external disturbance, and Input Constraint, via combining sliding mode control and adaptive backstepping control. Since the complex coupling between the translational and rotational dynamics of reusable launch vehicle, a control-oriented model derived from rotational dynamic is used for controller design. During the virtual control Input design procedure, a dynamic robust term is utilized to compensate for the uncertainty. In addition, a filter is applied to handle “explosion of terms” problem during the actual control Input design. To reduce the computational burden, adaptive law is used to evaluate the unknown norm bound of the lumped uncertainty. An auxiliary system is constructed to compensate for the Input Constraint effect. The stability of the closed-loop system is analyzed based on Lyapunov theory. Simulation results demonstrate the validity of the developed cont...
Fang Wang - One of the best experts on this subject based on the ideXlab platform.
-
robust adaptive backstepping control for an uncertain nonlinear system with Input Constraint based on lyapunov redesign
International Journal of Control Automation and Systems, 2017Co-Authors: Fang Wang, Qin Zou, Qun ZongAbstract:This paper presents the control problem for a class of n-order semi-strict nonlinear system subjects to unknown parameters, uncertainty, and Input Constraint. The controller is designed via combining backstepping control and Lyapunov redesign. Firstly, based on the Lyapunov function, a composite adaptive law is constructed to estimate the unknown parameters. To sequel, a robust term is designed to handle the matched and unmatched uncertainties on the basis of Lyapunov redesign technique. The “explosion of terms” problem that inherent in backstepping control is avoided by the robust second-order filters. Thirdly, an auxiliary signal provided by the auxiliary system is employed to handle the influence of the Input Constraint. It is proved that the closed-loop system is stable in a Lyapunov framework theory and the semi-global uniformly ultimate boundedness of all signals is achieved. Finally, numerical simulations are carried out to evaluate the performance of the proposed control strategy. Numerical example and the application of the hypersonic vehicle (HSV) tracking control are simulated to demonstrate the effectiveness of the proposed control scheme.
-
disturbance observer based sliding mode backstepping control for a re entry vehicle with Input Constraint and external disturbance
Transactions of the Institute of Measurement and Control, 2016Co-Authors: Fang Wang, Qun Zong, Qi Dong, Bailing TianAbstract:An attitude controller is designed for a reusable launch vehicle (RLV) during the re-entry phase with Input Constraint, model uncertainty and external disturbance. A control-oriented model with mat...
-
attitude control of reusable launch vehicle in reentry phase with Input Constraint via robust adaptive backstepping control
International Journal of Adaptive Control and Signal Processing, 2015Co-Authors: Fang Wang, Changchun Hua, Qun ZongAbstract:Summary The paper presents an attitude control problem of reusable launch vehicles in reentry phase. The controller is designed based on synthesizing robust adaptive control into backstepping control procedure in the presence of Input Constraint, model uncertainty, and external disturbance. In view of the coupling between the states of translational motion and the states of attitude motion, the control-oriented model is developed, where the uncertainties do not satisfy linear parameterization assumption. The time derivative of the virtual control Input is viewed as a part of uncertain term to facilitate the analytic computations and avoid the ‘explosion of terms’ problem. The robust adaptive backstepping control scheme is first proposed to overcome the uncertainty and external disturbance. The robust adaptive law is employed to estimate the unknown bound of the uncertain term. Furthermore, the attitude control problem subjects to Input Constraint is studied, and the constrained robust adaptive backstepping control strategy is proposed. Within the Lyapunov theory framework, the stability analysis of the closed-loop system is carried out, and the tracking error converges to a random neighborhood around origin. Six-degree-of-freedom reusable launch vehicle simulation results are presented to show the effectiveness of the proposed control strategy. Copyright © 2015 John Wiley & Sons, Ltd.
-
robust adaptive constrained backstepping flight controller design for re entry reusable launch vehicle under Input Constraint
Advances in Mechanical Engineering, 2015Co-Authors: Qin Zou, Fang Wang, Lianghua Zou, Qun ZongAbstract:A nonlinear constrained controller is designed for a reusable launch vehicle during re-entry phase in the presence of model uncertainty, external disturbance, and Input Constraint, via combining sliding mode control and adaptive backstepping control. Since the complex coupling between the translational and rotational dynamics of reusable launch vehicle, a control-oriented model derived from rotational dynamic is used for controller design. During the virtual control Input design procedure, a dynamic robust term is utilized to compensate for the uncertainty. In addition, a filter is applied to handle “explosion of terms” problem during the actual control Input design. To reduce the computational burden, adaptive law is used to evaluate the unknown norm bound of the lumped uncertainty. An auxiliary system is constructed to compensate for the Input Constraint effect. The stability of the closed-loop system is analyzed based on Lyapunov theory. Simulation results demonstrate the validity of the developed cont...
-
robust adaptive backstepping tracking control for a flexible air breathing hypersonic vehicle subject to Input Constraint
Proceedings of the Institution of Mechanical Engineers Part G: Journal of Aerospace Engineering, 2015Co-Authors: Qun Zong, Fang Wang, Shikai ShaoAbstract:This paper presents a tracking control problem of flexible air-breathing hypersonic vehicle with Input Constraint and aerodynamic uncertainty. Without ignoring aero-propulsive and elevator-to-lift couplings, a control-oriented model including aerodynamic uncertainty is firstly established. Then a robust adaptive backstepping control scheme is designed, in which the control-oriented model does not need to be transformed into linear parameterization formulation. Upper bounds of the uncertain terms do not need to be known in advance, which are estimated online by designing robust adaptive laws. To further consider Input Constraint, a constrained robust adaptive backstepping controller is proposed to simultaneously handle Input Constraint and aerodynamic uncertainty. Finally, the compared simulation results show the effectiveness of the designed control strategy.
Bailing Tian - One of the best experts on this subject based on the ideXlab platform.
-
disturbance observer based sliding mode backstepping control for a re entry vehicle with Input Constraint and external disturbance
Transactions of the Institute of Measurement and Control, 2016Co-Authors: Fang Wang, Qun Zong, Qi Dong, Bailing TianAbstract:An attitude controller is designed for a reusable launch vehicle (RLV) during the re-entry phase with Input Constraint, model uncertainty and external disturbance. A control-oriented model with mat...
-
nonlinear robust adaptive deterministic control for flexible hypersonic vehicles in the presence of Input Constraint
Asian Journal of Control, 2015Co-Authors: Bailing Tian, Wenru Fan, Qun ZongAbstract:A nonlinear deterministic robust control scheme is developed for a flexible hypersonic vehicle with Input saturation. Firstly, the model analysis is conducted for the hypersonic vehicle model via the Input-output linearized technique. Secondly, the sliding mode manifold is designed based on homogeneity theory. Then an adaptive high order sliding mode control scheme is proposed to achieve tracking for the step change in altitude and velocity for hypersonic vehicles where the uncertainty boundary is unknown. Furthermore, the control Input Constraint is investigated and another new adaptive law is proposed to estimate the uncertainties and to guarantee the stability of the system with Input saturation. Finally, the simulation results are provided to demonstrate the effectiveness of the proposed method.
-
robust adaptive dynamic surface control design for a flexible air breathing hypersonic vehicle with Input Constraints and uncertainty
Nonlinear Dynamics, 2014Co-Authors: Qun Zong, Fang Wang, Bailing Tian, Rui SuAbstract:The flight control problem of a flexible air-breathing hypersonic vehicle is presented in the presence of Input Constraint and aerodynamic uncertainty. A control-oriented model, where aerodynamic uncertainty and the strong couplings between the engine and flight dynamics are included, is derived to reduce the complexity of controller design. The flexible dynamics are viewed as perturbations of the model. They are not taken into consideration at the level of control design, the influence of which is evaluated through simulation. The control-oriented model is decomposed into velocity subsystem and altitude subsystem, which are controlled separately. Then robust adaptive controller is developed for the velocity subsystem, while the controller which combines dynamic surface control and radial basis function neural network is designed for the altitude subsystem. The unknown nonlinear function is approximated by the radial basis function neural network. Minimal-learning parameter technique is utilized to estimate the maximum norm of ideal weight vectors instead of their elements to reduce the computational burden. To handle Input Constraints, additional systems are constructed to analyze their impact, and the states of the additional systems are employed at the level of control design and stability analysis. Besides, “explosion of terms” problem in the traditional backstepping control is circumvented using a first-order filter at each step. By means of Lyapunov stability theory, it is proved theoretically that the designed control law can assure that tracking error converges to an arbitrarily small neighborhood around zero. Simulations are performed to demonstrate the effectiveness of the presented control scheme in coping with Input Constraint and aerodynamic uncertainty.
-
robust adaptive approximate backstepping control of a flexible air breathing hypersonic vehicle with Input Constraint and uncertainty
Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2014Co-Authors: Qun Zong, Fang Wang, Bailing TianAbstract:This article shows the controller design problem of a flexible air-breathing hypersonic vehicle in the presence of Input Constraint and aerodynamic uncertainty. A control-oriented model, derived fr...
-
adaptive backstepping finite time attitude control of reentry rlv with Input Constraint
Mathematical Problems in Engineering, 2014Co-Authors: Fang Wang, Qun Zong, Bailing TianAbstract:This paper presents the finite time attitude tracking control problem of reusable launch vehicle (RLV) in reentry phase under Input Constraint, model uncertainty, and external disturbance. A control-oriented model of rotational dynamics is developed and used for controller design for the complex coupling of the translational and rotational dynamics. Firstly, fast terminal sliding mode control is incorporated into backstepping control to design controller considering model uncertainty and external disturbance. The “explosion of terms” problem inherent in backstepping control is eliminated by a robust second order filter. Secondly, the control problem in the presence of Input Constraint is further considered, and a constrained adaptive backstepping fast terminal sliding mode control scheme is developed. At the control design level, adaptive law is employed to estimate the unknown norm bound of lumped uncertainty with the reduction of computational burden. The Lyapunov-based stability analysis of the closed-loop system is carried out. The control performance is presented via the simulation of six-degree-of-freedom (6-DOF) model of RLV.
Koichi Kobayashi - One of the best experts on this subject based on the ideXlab platform.
-
design of global smooth implicit control lyapunov function for multiple integrator system with Input Constraint
Systems & Control Letters, 2020Co-Authors: Yuh Yamashita, Naoto Adachi, Ryo Nonaka, Koichi KobayashiAbstract:Abstract In this study, we propose a new method to design a smooth implicit control Lyapunov function and a smooth control law for a multi-integrator system with an Input Constraint. The proposed controller is almost linear near the origin, and it tends to a homogeneous controller of the previous implicit Lyapunov function methods as the state goes to infinity. The proposed method can be used for the backstepping method with a restricted virtual Input, which is a nonlinear function of the state, and the desired virtual Input is designed as a bounded function. Furthermore, we apply our method to the control of a magnetic levitation system, and a simulation result presents the advantage of the proposed method.
Rui Su - One of the best experts on this subject based on the ideXlab platform.
-
robust adaptive dynamic surface control design for a flexible air breathing hypersonic vehicle with Input Constraints and uncertainty
Nonlinear Dynamics, 2014Co-Authors: Qun Zong, Fang Wang, Bailing Tian, Rui SuAbstract:The flight control problem of a flexible air-breathing hypersonic vehicle is presented in the presence of Input Constraint and aerodynamic uncertainty. A control-oriented model, where aerodynamic uncertainty and the strong couplings between the engine and flight dynamics are included, is derived to reduce the complexity of controller design. The flexible dynamics are viewed as perturbations of the model. They are not taken into consideration at the level of control design, the influence of which is evaluated through simulation. The control-oriented model is decomposed into velocity subsystem and altitude subsystem, which are controlled separately. Then robust adaptive controller is developed for the velocity subsystem, while the controller which combines dynamic surface control and radial basis function neural network is designed for the altitude subsystem. The unknown nonlinear function is approximated by the radial basis function neural network. Minimal-learning parameter technique is utilized to estimate the maximum norm of ideal weight vectors instead of their elements to reduce the computational burden. To handle Input Constraints, additional systems are constructed to analyze their impact, and the states of the additional systems are employed at the level of control design and stability analysis. Besides, “explosion of terms” problem in the traditional backstepping control is circumvented using a first-order filter at each step. By means of Lyapunov stability theory, it is proved theoretically that the designed control law can assure that tracking error converges to an arbitrarily small neighborhood around zero. Simulations are performed to demonstrate the effectiveness of the presented control scheme in coping with Input Constraint and aerodynamic uncertainty.