Flight control for a flexible air-breathing hypersonic vehicle based on quasi-continuous high-order sliding mode

The focus of this paper is on control design and simulation for the longitudinal model of a flexible air-breathing hypersonic vehicle（FAHV）.The model of interest includes flexibility effects and intricate couplings between the engine dynamics and flight dynamics.To overcome the analytical intractability of this model,a nominal control-oriented model is constructed for the purpose of feedback control design in the first place.Secondly,the multi-input multi-output（MIMO） quasi-continuous high-order sliding mode（HOSM） controller is proposed to track step changes in velocity and altitude,which is based on full state feedback.The simulation results are presented to verify the effectiveness of the proposed control strategy.

Reference tracking control for flexible air-breathing hypersonic vehicle with actuator delay and uncertainty

This paper considers the problem of reference tracking control for the flexible air-breathing hypersonic flight vehicle with actuator delay and uncertainty.By constructing the Lyapunov functional including the lower and upper bounds of the time-varying delay,the non-fragile controller is designed such that the resulting closed-loop system is asymptotically stable and satisfies a prescribed performance cost index.The simulation results are given to show the effectiveness of the proposed control method,which is validated by excellent output reference altitude and velocity tracking performance.

Back-Stepping Control for Flexible Air-Breathing Hypersonic Vehicles Based on Uncertainty and Disturbance Estimator

A theoretical framework of nonlinear flight control for a flexible air-breathing hypersonic vehicle(FAHV)is proposed in this paper.In order to suppress the system uncertainty and external disturbance,an uncertainty and disturbance estimator(UDE)based back-stepping control strategy is designed for a dynamic state-feedback controller to provide stable velocity and altitude tracking.Firstly,the longitudinal dynamics of FAHV is simplified into a closure loop form with lumped uncertainty and disturbance.Then the UDE is applied to estimate the lumped uncertainty and disturbance for the purpose of control input compensation.While a nonlinear tracking differentiator is introduced to solve the problem of“explosion of term”in the back-stepping control.The stability of the UDE-based control strategy is proved by using Lyapunov stability theorem.Finally,simulation results are presented to demonstrate the capacity of the proposed control strategy.

HOSVD-based LPV modeling and mixed robust H_2/H_∞ control design for air-breathing hypersonic vehicle

This paper focuses on synthesizing a mixed robust H_2/H_∞ linear parameter varying（LPV） controller for the longitudinal motion of an air-breathing hypersonic vehicle via a high order singular value decomposition（HOSVD） approach.The design of hypersonic flight control systems is highly challenging due to the enormous complexity of the vehicle dynamics and the presence of significant uncertainties.Motivated by recent results on both LPV control and tensor-product（TP） model transformation approach,the velocity and altitude tracking control problems for the air-breathing hypersonic vehicle is reduced to that of a state feedback stabilizing controller design for a polytopic LPV system with guaranteed performances.The controller implementation is converted into a convex optimization problem with parameterdependent linear matrix inequalities（LMIs） constraints,which is intuitively tractable using LMI control toolbox.Finally,numerical simulation results demonstrate the effectiveness of the proposed approach.

Adaptive fault-tolerant controller design for airbreathing hypersonic vehicle with input saturation

The problem of fault-tolerant control is discussed for the longitudinal model of an airbreathing hypersonic vehicle （AHV） with actuator faults and external disturbances. Firstly, a fault-tolerant control strategy is presented for the longitudinal model of an AHV, which guarantees that velocity and altitude track their reference trajectories at an exponential convergence rate. However, this method needs to know the minimum value of the actuator efficiency factor and the upper bound of the external disturbances, which makes it not easy to implement. Then an improved adaptive fault-tolerant control scheme is proposed, where two adaptive laws are employed to estimate the upper bound of the external disturbances and the minimum value of the actuator efficiency factor, respectively. Secondly, the problem of designing a control scheme with control constraints is further considered, and a new adaptive fault-tolerant control strategy with input saturation is designed to guarantee that velocity and altitude track their reference trajectories. Finally, simulation results are given to show the effectiveness of the proposed methods.

Robust adaptive control of hypersonic vehicle considering inlet unstart

In this paper,a model reference adaptive control(MRAC)augmentation method of a linear controller is proposed for air-breathing hypersonic vehicle(AHV)during inlet unstart.With the development of hypersonic flight technology,hypersonic vehicles have been gradually moving to the stage of weaponization.During the maneuvers,changes of attitude,Mach number and the back pressure can cause the inlet unstart phenomenon of scramjet.Inlet unstart causes significant changes in the aerodynamics of AHV,which may lead to deterioration of the tracking performance or instability of the control system.Therefore,we firstly establish the model of hypersonic vehicle considering inlet unstart,in which the changes of aerodynamics caused by inlet unstart is described as nonlinear uncertainty.Then,an MRAC augmentation method of a linear controller is proposed and the radial basis function(RBF)neural network is used to schedule the adaptive parameters of MRAC.Furthermore,the Lyapunov function is constructed to prove the stability of the proposed method.Finally,numerical simulations show that compared with the linear control method,the proposed method can stabilize the attitude of the hypersonic vehicle more quickly after the inlet unstart,which provides favorable conditions for inlet restart,thus verifying the effectiveness of the augmentation method proposed in the paper.

Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on stochastic robustness analysis

吸气式高超声速飞行器(air-breathing hypersonic vehicle,AHV)的飞行动力学模型具有高度非线性与多变量耦合等特性,且受到内部不确定性与外部干扰的综合影响,因此需要具有强鲁棒性与高精度的控制器。本文介绍了一种改进的基于随机鲁棒性分析的线性二次调节器(linear-quadratic regulator,LQR)设计方法,用于AHV的纵向飞行控制器设计。首先,应用输入输出反馈线性化技术设计LQR控制器。其次,基于系统参数的不确定性,将系统鲁棒性表征为满足稳定性与设计指标要求的概率,并构建系统鲁棒性与LQR参数之间的映射关系。为了实现系统鲁棒性最大化的目标,提出一种全新的混合粒子群优化算法对LQR的控制参数进行寻优计算。在优化迭代的过程中,使用切诺夫边界理论确定蒙特卡洛估计的随机样本量。最后,仿真结果表明该优化算法可以高效地获取满足设计要求的LQR控制参数最优解。

Prescribed fast tracking control for flexible air-breathing hypersonic vehicles:An event-triggered case

In this paper,a prescribed fast tracking control scheme is proposed for Flexible Airbreathing Hypersonic Vehicles(FAHV)subject to lumped disturbances and limited resources.To maintain tracking errors of velocity and altitude converge to a predefined region with a prescribed time and release the transient intense fluctuations encountered in classical Prescribed Performance Control(PPC)using a fast decaying rate,a tracking differentiator-based PPC is presented,where the reaching time and the maximum time differentiation of preselected envelopes can be regulated as a prior via fixing an acceleration factor,so that a guaranteed fast convergence speed can be realized with reduced oscillations.Besides,to avoid the excessive occupation of limited resources(energy and communication)and guarantee a remarkable tracking accuracy,switching event-triggered mechanisms are constructed for FAHV control realization,which provide a promising way to pursue a desired level of tracking performance with a low energy consumption.Subsequently,Uncertainty and Disturbance Estimators(UDE)and Sigmoid function-based Tracking Differentiators(STD)are employed to provide disturbance estimation and reference derivation with a low computational complexity.Finally,robust control laws are designed to compensate for the sampling error induced by event-triggered conditions,meanwhile Zeno phenomena can be effectively eliminated.The simulation results and comparisons validate the effectiveness of the proposed scheme.

Lines cluster approaching mode control for air-breathing hypersonic vehicle under disturbances and uncertainties

This paper investigates the velocity and altitude tracking control problem for airbreathing hypersonic vehicle(AHV)in the presence of external disturbances and parameter uncertainties.A composite controller containing improved lines cluster approaching mode control(LCAMC)and nonlinear disturbance observer(NDO)is developed to guarantee the tracking errors converge to zero and enhance the robustness of control system.Meanwhile,considering the multiple uncertain parameters,a genetic algorithm(GA)based Pareto uncertainty estimation is employed to predict the parameter uncertainties of the AHV dynamics.Besides,the mathematical proofs of proposed method are analyzed by utilizing Lyapunov theory.Simulation results demonstrate the effective tracking performance,excellent disturbance estimation and uncertainty estimation ability of the composite method.

H-infinity control for air-breathing hypersonic vehicle based on online simultaneous policy update algorithm

Purpose–The air-breathing hypersonic vehicle(AHV)includes intricate inherent coupling between the propulsion system and the airframe dynamics,which results in an intractable nonlinear system for the controller design.The purpose of this paper is to propose an H1 control method for AHV based on the online simultaneous policy update algorithm(SPUA).Design/methodology/approach–Initially,the H1 state feedback control problem of the AHV is converted to the problem of solving the Hamilton-Jacobi-Isaacs(HJI)equation,which is notoriously difficult to solve both numerically and analytically.To overcome this difficulty,the online SPUA is introduced to solve the HJI equation without requiring the accurate knowledge of the internal system dynamics.Subsequently,the online SPUA is implemented on the basis of an actor-critic structure,in which neural network(NN)is employed for approximating the cost function and a least-square method is used to calculate the NN weight parameters.Findings–Simulation study on the AHV demonstrates the effectiveness of the proposed H1 control method.Originality/value–The paper presents an interesting method for the H1 state feedback control design problem of the AHV based on online SPUA.

吸气式高超声速飞行器控制的最新研究进展

随着超燃冲压发动机技术的快速发展,吸气式高超声速飞行器正受到世界范围内的高度关注,而其控制系统的设计则是重中之重.首先简要回顾了吸气式高超声速飞行器建模的发展,表明了对其进行控制器设计的复杂性;然后着重阐述了几种广泛应用于吸气式高超声速飞行器的控制方法:基于线性化模型的控制方法、反向递推法、T-S模糊控制方法、自适应控制和滑模变结构控制;最后指出了在控制器设计环节需要考虑的若干问题,例如:执行机构的非线性、容错控制、多目标控制、切换控制等,同时也是今后吸气式高超声速飞行器控制系统设计的研究方向.

考虑动压限制的高超声速飞行器控制系统设计

针对高超声速飞行器超燃冲压发动机的进气道对飞行动压有比较苛刻的要求,提出一种直接进行动压反馈的高超声速飞行器控制系统设计方法。首先,建立了高超声速飞行器动压反馈控制的动力学模型,并推导了动压控制的状态方程。然后,利用线性二次型最优控制方法,通过引入动压误差进行控制对象增广,从而在动压控制回路中引入积分控制,以消除动压跟踪误差,给出了高超声速飞行器动压控制的控制系统结构。最后,通过仿真验证了动压控制器具有很好的跟踪性能,考虑存在气动、推力不确定性因素,飞行器速度出现偏差时,动压控制系统可以自适应地调整飞行高度以保证对动压指令的跟踪,控制系统具有很好的鲁棒性。

考虑进气道不起动的高超声速飞行器鲁棒自适应控制研究

针对吸气式高超声速飞行器进气道不起动引起飞行器气动特性大范围变化,从而导致响应出现大幅振荡甚至控制系统失稳的问题,提出了一种考虑进气道不起动影响的模型参考自适应控制方法。该方法首先针对进气道起动时的模型,设计了基于LQR-PI方法的姿态控制系统,并以此作为进气道不起动时的参考模型;当进气道不起动时,在LQR-PI基准控制器的基础上增加模型参考自适应控制项,通过跟踪参考模型以提高系统对进气道不起动引起模型偏差的鲁棒性,在进气道出现不起动的情况下能快速稳定姿态,为进气道再起动提供条件。最后对所提方法进行了数字仿真,结果表明,系统在进气道出现不起动时能够快速跟踪控制指令,且稳态误差趋于零,验证了所提方法的有效性。

状态/输入约束下飞-推一体化的保性能安全控制

基于飞行-推力一体化思想提出了一种针对搭载超燃冲压发动机的吸气式高超声速飞行器速度通道的状态/输入约束自适应鲁棒保性能安全控制方案。首先根据超燃冲压发动机的机理分析与计算流体动力模型数据,建立了安全子系统与性能子系统面向控制的仿射非线性模型。之后基于障碍Lyapunov理论与动态面设计方法设计了一套安全子系统状态约束控制器,从理论上保证了飞行器在跟踪指令的全过程中,发动机相关状态不会触碰安全边界,并结合自适应技术与辅助系统提高了该控制系统的鲁棒性。针对性能子系统设计了一套鲁棒自抗扰控制器,达到“保证安全的前提下不折损性能”的目的。仿真结果表明所设计的控制系统可以在保障安全的同时达到预想的性能,并显著放宽了超燃冲压发动机对飞行器飞行姿态的约束,保证了高超声速飞行器的机动灵活性。

变几何进气道吸气式高超声速飞行器控制系统设计

建立了变几何进气道吸气式高超声速飞行器(AHV-VGI)的纵向模型。针对纵向模型中由于参数拟合以及可移动唇罩引入的不确定性、飞行器所受不确定外来干扰,提出了一种基于模糊干扰观测器的AHV-VGI动态面控制方案。仿真结果表明:所提方法能够对AHV-VGI系统进行有效控制,相对于传统的定几何进气道(FGI) AHV(AHV-FGI)的控制,性能更优。

基于时延的高超声速飞行器终端滑模控制

针对吸气式高超声速飞行器(AHV)再入过程中的复杂非线性、动力学模型通道间存在的强耦合及气动力系数和气动力矩系数摄动,提出了一种结合时延补偿控制与终端滑模控制的姿态控制方法.首先,以AHV再入飞行姿态动力学模型为基础,考虑气动参数摄动产生的模型不确定性,建立了面向控制算法设计的AHV再入飞行数学模型;然后,基于多时间尺度理论将该数学模型分解为双环子系统;为两个子系统分别设计时延补偿改进终端滑模控制算法,用来完成AHV的再入姿态控制;在改进终端滑模控制的基础上,采用工程上易于实现的时延补偿控制对模型不确定性进行精确估计,并基于李雅普诺夫理论证明了姿态角和姿态角速度的跟踪误差在有限时间内收敛到零.本算法设计简单,无须补偿项部分已知且易于工程实现.仿真结果表明所设计的基于时延补偿的改进控制算法具有调整时间短(1 s以内)、超调量小和良好的跟踪精度等优点.