飞航导弹分层滑动模控制

对 １ 个二层的非线性模型进行了仿射型化,使块对角结构具有分层仿射型特点,提出了滑动模块对角控制器的设计方法,实现了飞航导弹的非线性控制系统的设计。仿真结果表明,这种设计方法对模型参数变化具有很强的鲁棒性。     

飞航导弹的地形跟踪控制器设计方法研究

根据奇异摄动理论,采用飞航导弹的分层控制方法,将地形跟踪控制系统分成速度、姿态角和角速度三部分,提出了一种利用动态逆滑模控制进行飞航导弹地形跟踪控制器的设计方法,同时充分考虑了导弹系统中的不确定性误差,保证了系统误差收敛。最后以飞航导弹非线性模型进行了6DOF仿真。从仿真结果可以看出,导弹能够准确跟踪地形轮廓飞行,表明所设计的地形跟踪控制器具有较强的鲁棒性和快速跟踪性。     

飞航导弹对地空导弹的作战效能分析

根据美国工业界武器系统效能咨询委员会对作战效能的定义，针对某型飞航导弹给出了其作战交通分析模型的解析法表述，建立了飞航导弹与某典型地空导弹攻防对搞的仿真模型，最后对该模型进行了数学仿真验证，并分析了影响导弹作战效能的主要因素。结果表明，可以从降低飞航导弹的RCS值、采用超低空突防和多发齐射等三个方面提高飞航导弹对地空导弹的作战效能。     

H∞控制理论在飞航导弹姿态控制中的应用

在考虑实际控制对象不确定性的条件下,应用H∞控制理论,设计了某型飞航导弹的纵向控制回路,仿真结果表明该控制系统的设计是有效的.     

非线性反演控制律在航空发动机多变量控制中的应用

主要研究了非线性反演控制规律设计方法在航空发动机控制中的应用.首先基于小偏差线化模型建立了航空发动机的非线性仿射模型, 讨论了非线性反演控制规律的设计方法.最后, 针对某型涡扇发动机运用非线性反演控制规律设计方法设计了双转子转速控制规律, 并给出了仿真结果, 仿真结果表明这种控制规律的设计方法在航空发动机控制中是可行的.      

基于反演控制的鲁棒非线性导弹自动驾驶仪设计

首先将导弹控制模型化成级联的结构。然后应用反演控制及鲁棒控制技术提出了一种新的非线性导弹自动驾驶仪控制算法，并应用Lyapunov稳定性理论证明了系统是全局指数稳定的，最后进行了数字仿真，结果表明该算法的有效性。     

质量矩导弹构型及自适应控制律设计

 质量矩导弹姿态运动模型含有活动质量块的位置、速度和加速度项,是典型的带有输入非线性的快时变多体系统。从构型和控制律设计两方面入手研究该类导弹跟踪控制问题。通过对姿态动力学模型的深入分析,获得了一种使系统具备良好动态品质的构型。以此为基础,建立了仿射型姿态运动模型,利用退步方法设计了控制律;考虑到系统中存在气动参数、外界扰动和执行机构动态特性等不确定因素,设计了鲁棒自适应补偿项;最后进行数学仿真,通过与标准退步控制律进行比较,验证了该控制律的有效性。     

飞航导弹/涡扇发动机一体化设计-优化设计

利用飞机／涡扇发动机一体化设计的思路，建立了飞航导弹／涡扇发动机一体化设计的优化设计模型并给出了算例和分析。根据飞航导弹的要求对涡扇发动机进行了循环参数优化选择并预测了未来涡扇发动机的发展趋势。在考虑导弹空重、有效载荷和气动特性的情况下，预测了未来先进飞航导弹的性能。建立的飞航导弹／涡扇发动机一体化优化设计模型还能够用于已有飞航导弹的任务剖面的优化设计，具有很好的工程实用价值。     

飞航导弹飞行包络影响因素分析

飞航导弹飞行包络确定是保障导弹飞行安全的重要基础。本文根据飞航导弹飞行过程,分析了飞行过程中的主要误差,并分别建立了飞航导弹航向和纵向飞行包络的误差模型,确立了各飞行阶段飞行包络半径大小计算方法,为飞航导弹的飞行安全研究提供了基础。     

应用动态逆和时间尺度分离的BTT导弹控制

基于简化的ＢＴＴ导弹控制设计模型,应用非线性动态和时间尺度分离方法设计了一种非线性ＢＴＴ导弹自动驾驶仪,根据导弹实际的飞行高度和飞行速度,可以计算出导弹动力学系数的标称值,非线性动态逆法正是基于这些动力学系数的标移值,适适合于控制导弹作大空域飞行,六自由度仿真结果一步验证了方法是正确的与有效的。     

Adaptive control based on a parametric affine model for tail-controlled missiles

An adaptive control against uncertainties in tail-controlled STT (skid-to-turn) missiles is presented. First, we derive an analytic uncertainty model from a parametric affine missile model developed by the authors. Based on this analytic model, an adaptive feedback linearizing control law accompanied by a sliding mode control law is proposed. We provide analyses of stability and output tracking performance of the overall adaptive missile system. The performance and validity of the proposed adaptive control scheme are demonstrated by simulation.     

Quick identification of guidance law for an incoming missile using multiple-model mechanism

A guidance law parameter identification model based on Gated Recurrent Unit (GRU) neural network is established. The scenario of the model is that an incoming missile (called missile) attacks a target aircraft (called aircraft) using Proportional Navigation (PN) guidance law. The parameter identification is viewed as a regression problem in this paper rather than a classification problem, which means the assumption that the parameter is in a finite set of possible results is discarded. To increase the training speed of the neural network and obtain the nonlinear mapping relationship between kinematic information and the guidance law parameter of the incoming missile, an output processing method called Multiple-Model Mechanism (MMM) is proposed. Compared with a conventional GRU neural network, the model established in this paper can deal with data of any length through an encoding layer in front of the input layer. The effectiveness of the proposed Multiple-Model Mechanism and the performance of the guidance law parameter identification model are demonstrated using numerical simulation.     

Nonlinear hαMissile Longitudinal Autopilot Design with θ- D Method

In this paper, a new nonlinear H_infin control technique, called thetas-D H_infin method, is employed to design a missile longitudinal autopilot. The thetas-D H_infin design has the same structure as that of linear H_infin, except that the two Riccati equations that are part of the solution process are state dependent. The thetas-D technique yields suboptimal solutions to nonlinear optimal control problems in the sense that it provides an approximate solution to the Hamilton-Jacobi-Bellman (HJB) equation. It is also shown that this method can be used to provide an approximate closed-form solution to the state dependent Riccati equation (SDRE) and consequently reduce the on-line computations associated with the nonlinear H_infin implementation. A missile longitudinal autopilot design demonstrates the capabilities of thetas-D method. This new nonlinear H_infin design also shows favorable results as compared with the linear H design based on the linearized model.     

战术导弹气动伺服弹性滑模控制技术

为抑制弹体弹性振动引起的控制系统品质恶化,建立了高精度弹性动态模型,采用模态自适应结构滤波技术,在极点配置优化控制参数的基础上,设计了滑模变结构策略,对局部增益进行自适应切换,实现了弹性导弹全包线鲁棒稳定。通过开发弹性弹体非线性集成仿真系统,为导弹气动伺服弹性振荡及失稳现象提供了数字仿真预测与复现手段,以全面验证飞行控制系统的综合性能。高空弹道试验与数字仿真结果表明,开发的非线性仿真系统可信度较高,滑模变结构策略设计合理,控制系统鲁棒性较强,能够抑制包括弹性振动在内的多种不确定性影响。     

Roll-pitch-yaw autopilot design for nonlinear time-varying missile using partial state observer based global fast terminal sliding mode control

The acceleration autopilot design for skid-to-turn (STT) missile faces a great challenge owing to coupling effect among planes, variation of missile velocity and its parameters, inexistence of a complete state vector, and nonlinear aerodynamics. Moreover, the autopilot should be designed for the entire flight envelope where fast variations exist. In this paper, a design of inte-grated roll-pitch-yaw autopilot based on global fast terminal sliding mode control (GFTSMC) with a partial state nonlinear observer (PSNLO) for STT nonlinear time-varying missile model, is employed to address these issues. GFTSMC with a novel sliding surface is proposed to nullify the integral error and the singularity problem without application of the sign function. The pro-posed autopilot consisting of two-loop structure, controls STT maneuver and stabilizes the rolling with a PSNLO in order to estimate the immeasurable states as an output while its inputs are missile measurable states and control signals. The missile model considers the velocity variation, gravity effect and parameters’ variation. Furthermore, the environmental conditions’ dynamics are mod-eled. PSNLO stability and the closed loop system stability are studied. Finally, numerical simula-tion is established to evaluate the proposed autopilot performance and to compare it with existing approaches in the literature.     

非线性预测控制在巡航导弹地形跟踪中的应用

建立了巡航导弹的非线性动力学模型,针对该模型的非线性连续预测控制方法,提出了预测跟踪误差和跟踪误差线性组合的性能指标,通过使性能指标最小,产生了巡航导弹地形跟踪的最优非线性反馈控制器,通过对虚拟地形的跟踪验证了控制器的性能,结果表明,该控制器不仅具有精确的跟踪性能而且具有良好的鲁棒性。