A novel integrated guidance and autopilot design method is proposed for homing missiles based on the adaptive block dynamic surface control approach. The fully integrated guidance and autopilot model is established by...A novel integrated guidance and autopilot design method is proposed for homing missiles based on the adaptive block dynamic surface control approach. The fully integrated guidance and autopilot model is established by combining the nonlinear missile dynamics with the nonlinear dynamics describing the pursuit situation of a missile and a target in the three-dimensional space. The integrated guidance and autopilot design problem is further converted to a state regulation problem of a time-varying nonlinear system with matched and unmatched uncertainties. A new and simple adaptive block dynamic surface control algorithm is proposed to address such a state regulation problem. The stability of the closed-loop system is proven based on the Lyapunov theory. The six degrees of freedom （6DOF） nonlinear numerical simulation results show that the proposed integrated guidance and autopilot algorithm can ensure the accuracy of target interception and the robust stability of the closed-loop system with respect to the uncertainties in the missile dynamics.展开更多
For a class of second-order sub-fully actuated systems(SOSFASs),this paper presents a preset-trajectory-based(PT-based)adaptive stabilising control method by integrating the function augmented sliding mode control(FAS...For a class of second-order sub-fully actuated systems(SOSFASs),this paper presents a preset-trajectory-based(PT-based)adaptive stabilising control method by integrating the function augmented sliding mode control(FASMC)technique and the flat-zone introduced Lyapunov function technique.The SOSFASs under study are subject to internal uncertainties and external disturbances.The proposed PT-based stabilising control method exhibits several attractive features:1)The system states can converge to a predefined region close to zero in a preassigned time and can be confined in a preassigned‘safe’area,which can make the control coefficient matrix always full rank so as to preserve the realizability of the proposed controller;2)the utilization of flat-zone introduced Lyapunov function technique not only eliminates the chatting phenomenon,but also avoids the potential persistent increase problem of the adaptive law;and 3)the control gain increases as the adaptive law increases only when necessary,that is,when the current control gain is not sufficient to suppress uncertainties or disturbances,therefore,the conservativeness of the control design due to unnecessarily high control gain can be effectively reduced.The effectiveness of the proposed control method is verified via a numerical example.展开更多
Since 1960s,the first-order state space approach has been dominant in analysis and design of control systems.In a state-space model of a dynamical system,the state variable is emphasized.Therefore,some problems releva...Since 1960s,the first-order state space approach has been dominant in analysis and design of control systems.In a state-space model of a dynamical system,the state variable is emphasized.Therefore,some problems relevant to state estimation and the seeking of state solution can be conveniently solved.However,the control variable is the core in the design of controllers.展开更多
基金the Fundamental Research Funds for the Central Universities(No.HIT.NSRIF.2013039)the National Natural Science Foundation of China(Nos.61203125 and 61021002)
文摘A novel integrated guidance and autopilot design method is proposed for homing missiles based on the adaptive block dynamic surface control approach. The fully integrated guidance and autopilot model is established by combining the nonlinear missile dynamics with the nonlinear dynamics describing the pursuit situation of a missile and a target in the three-dimensional space. The integrated guidance and autopilot design problem is further converted to a state regulation problem of a time-varying nonlinear system with matched and unmatched uncertainties. A new and simple adaptive block dynamic surface control algorithm is proposed to address such a state regulation problem. The stability of the closed-loop system is proven based on the Lyapunov theory. The six degrees of freedom （6DOF） nonlinear numerical simulation results show that the proposed integrated guidance and autopilot algorithm can ensure the accuracy of target interception and the robust stability of the closed-loop system with respect to the uncertainties in the missile dynamics.
基金This research was supported by the National Natural Science Foundation of China under Grant No.62073096the Science Center Program of National Natural Science Foundation of China under Grant No.62188101the Heilongjiang Touyan Team Program.
文摘For a class of second-order sub-fully actuated systems(SOSFASs),this paper presents a preset-trajectory-based(PT-based)adaptive stabilising control method by integrating the function augmented sliding mode control(FASMC)technique and the flat-zone introduced Lyapunov function technique.The SOSFASs under study are subject to internal uncertainties and external disturbances.The proposed PT-based stabilising control method exhibits several attractive features:1)The system states can converge to a predefined region close to zero in a preassigned time and can be confined in a preassigned‘safe’area,which can make the control coefficient matrix always full rank so as to preserve the realizability of the proposed controller;2)the utilization of flat-zone introduced Lyapunov function technique not only eliminates the chatting phenomenon,but also avoids the potential persistent increase problem of the adaptive law;and 3)the control gain increases as the adaptive law increases only when necessary,that is,when the current control gain is not sufficient to suppress uncertainties or disturbances,therefore,the conservativeness of the control design due to unnecessarily high control gain can be effectively reduced.The effectiveness of the proposed control method is verified via a numerical example.
文摘Since 1960s,the first-order state space approach has been dominant in analysis and design of control systems.In a state-space model of a dynamical system,the state variable is emphasized.Therefore,some problems relevant to state estimation and the seeking of state solution can be conveniently solved.However,the control variable is the core in the design of controllers.
