基于CMAC神经网络的BTT导弹模型跟踪控制

提出一种ＢＴＴ导弹模型跟踪控制系统的参考模型设计新方法。在此基础上,设计了一种非线性模型跟踪控制律,并将ＣＭＡＣ神经网络用于ＢＴＴ导弹系统的鲁棒自适应模型跟踪控制,使具有不确定性的实际系统获得要求的跟踪性能。该方法适合于控制导弹作全空域飞行。仿真结果进一步验证了该方法的正确与有效。     

动态逆方法在空空导弹控制系统设计中的应用

提出了一种将动态逆方法与基于李雅普诺夫稳定性的鲁棒控制方法相结合的鲁棒动态逆没计方法,并且给出了将动态逆方法应用于空空导弹控制系统设计的基本步骤将导弹动力学自然分离为怏变状态动力学子系统和慢变状态动力学子系统,分别进行非线性动态逆控制设计;再应用基于李雅普诺夫稳定性的鲁棒控制方法,没计出期望的慢变动力学和怏变动力学,能够保证动态逆控制系统对气动系数摄动的鲁棒稳定性.用一个典型空空导弹的控制系统进行的具体设计和六自由度的真实仿真结果,显示了这一方法的有效性.     

基于RBF神经网络的大迎角机动空空导弹控制系统设计

以某型空空导弹为对象．基于双时标的假设．将导弹动力学模态分离为快变状态动力学模态和慢变状态动力学模态，并对其分别进行了动态逆设计。考虑到空空导弹在高速、大迎角飞行时．空气动力系数具有强非线性．直接采用了真实的多维非线性气动力模型(未进行小迎角线性化处理)．用RBF神经网络逼近了气动力矩系数，在非仿射条件下用反解设计方法求得舵偏角控制命令。最后．给出了控制系统六自由度数学仿真结果。     

视场受限制导与控制一体化设计

针对拦截弹视场受限问题,提出了一种基于动态面控制和自适应扩张状态观测器(ESO)的制导控制一体化(IGC)设计方法。首先,建立基于目标拦截过程的拦截弹运动方程和非线性动力学方程的IGC模型;其次,设计自适应ESO估计导弹自身信息干扰和目标加速度误差。然后,设计基于动态面控制的IGC算法获取虚拟控制力矩,并利用李雅普诺夫(Lyapunov)理论证明系统稳定性。仿真结果表明,所设计的IGC算法能够实现在视场受限情况下稳定制导和控制导弹姿态,满足动能碰撞杀伤目标的要求,可用于导弹制导和控制系统设计。     

基于逆误差补偿的非线性导弹控制器设计

提出了一种基于动态逆在线误差补偿的非线性导弹动态逆控制设计方案。首先运用动态逆的双阶段设计方法设计了导弹的逆控制器,第一阶段采用动态逆方法设计快回路控制器实现对滚转、偏航和俯仰三个通道角速度的跟踪;第二阶段实现慢回路对滚转角、侧滑角和迎角的跟踪;然后,设计了具有补偿信息,并用于在线补偿动态逆误差的控制方案,并将其应用于导弹控制系统的设计中以增强其鲁棒性。通过仿真分析,验证了该方法的有效性。     

基于动态面控制的多弹协同制导控制方法

为实现多枚导弹对目标进行饱和攻击,基于动态面控制理论设计了具有攻击时间约束的制导控制方法.综合弹目距离方程和动力学方程建立了制导控制一体化模型,改进设计了基于弹目距离信息的协同策略;考虑导弹速度变化、目标运动、导弹框架角受限以及避免控制器奇异等因素,设计了协同策略中的关键参数,并给出了导弹群理想协同攻击时间的选取方法.在导弹控制输入受限的前提下,采用动态面控制理论设计了导弹扰动鲁棒控制器.仿真结果表明,所提方法能够在满足多种约束的前提下,以较高的精度实现对目标的饱和攻击.     

基于H∞最优化与层次结构动态逆的非线性飞行控制器设计

针对扰动环境下的导弹飞行控制问题提出一种基于H∞最优化与层次结构动态逆(HSDI)的鲁棒非线性控制方法.设计层次结构动态逆控制器时将层次结构优化为3层,并按照时标分离的思想调整了各层次的状态变量,使得控制器更为简洁.在此基础上,将层次结构动态逆控制器与导弹6自由度(DOF)非线性模型联合作为H..控制的广义被控对象,通...     

导弹制导与控制一体化三通道解耦设计方法

针对导弹俯冲打击地面目标的问题,基于扩张状态观测器(ESO)和反步滑模设计思想,提出一种导弹制导与控制一体化三通道解耦设计方法。充分考虑制导与控制系统之间以及控制系统三通道间的耦合关系,建立了制导与控制一体化三通道耦合模型。通过ESO对导弹运动六自由度(6DOF)系统内各通道间的动态耦合项和不确定性进行实时观测和动态补偿,实现通道间的主动解耦,从而设计了基于ESO的导弹制导与控制一体化三通道解耦控制律。同时,为了解决在使用ESO对高阶非线性系统进行状态观测时引起的"运算膨胀"问题,通过设计自适应控制律对ESO观测误差进行补偿。基于李雅普诺夫稳定性准则证明了闭环系统所有状态最终一致有界。并与制导与控制一体化三通道独立设计方法和传统的制导与控制系统设计方法进行对比仿真,结果验证了基于ESO的导弹制导与控制一体化三通道解耦设计方法的有效性和优越性。     

基于动态逆方法的三维制导律研究

基于零化视线角速率思想,设计了三维非线性动态逆制导律。首先建立了导弹和目标空间运动学模型和相对运动学模型;然后利用动态逆方法,将制导问题转化为角度跟踪控制问题,将导弹弹道倾角和弹道偏角作为反馈项,补偿输入动态项,将非线性控制问题转化为线性化问题进行求解,未出现隐动态,推导出了三维空间动态逆制导指令;最后运用带有延迟环节的三阶自动驾驶仪模型进行了仿真。结果表明,该制导律具有拦截机动目标的能力,且相对于比例导引,拦截时间短,脱靶量小,导弹过载变化平稳。     

大攻角导弹的非线性自动驾驶仪设计

本文描述了尾控大攻角空空导弹的两种非线性自动驾驶仪的设计方法。该研究应用了一种短程导弹高度非线性，时变俯仰面刚性体的动态模型。这种自动驾驶仪是利用线性化反馈技术、线性控制理论来设计的。为了解决由尾控导弹引起的“空气动力学”困难，提出了两种各不相同的近似线性反馈的方法。第一种方法是在闭环动力学上施加了一个时标结构，第二种方法则是重新定义了输出。     

ROBUST ADAPTIVE BANK-TO-TURN MISSILE AUTOPILOT DESIGN USING FUZZY CMAC NEURAL NETWORKS

ＲＯＢＵＳＴＡＤＡＰＴＩＶＥＢＡＮＫ┐ＴＯ┐ＴＵＲＮＭＩＳＳＩＬＥＡＵＴＯＰＩＬＯＴＤＥＳＩＧＮＵＳＩＮＧＦＵＺＺＹＣＭＡＣＮＥＵＲＡＬＮＥＴＷＯＲＫＳＺｈａｎｇＹｏｕａｎ（张友安）,ＣｕｉＰｉｎｇｙｕａｎ（崔平远）,ＷａｎｇＳｈｏｕｂｉｎｇ（王守斌...     

BTT导弹的神经网络自适应反馈线性化控制

提出基于反馈线性化理论的BTT导弹自动驾驶仪设计方法。并提出由俯仰过载命令产生攻角命令的方法。应用CMAC神经网络构成一种自适应反馈线性化方案,使具有不确定性的实际系统获得要求的跟踪性能。闭环系统的稳定性由李雅普诺夫稳定性理论得到保证。该方法适合于控制导弹作全空域飞行。     

Nonlinear autopilot for high maneuverability of bank-to-turnmissiles

This paper presents a novel approach to autopilot design for highly maneuvering bank-to-turn (BTT) missiles. In the design and performance analysis of the proposed nonlinear autopilot, all nonlinearities of missile dynamics including the coupling between roll, yaw, and pitch channels as well as the asymmetric structure of missile body are taken into full account. It is shown that through a kind of feedback linearization technique along with a singular perturbation-like technique, the input/output (I/O) dynamic characteristics of pitch, yaw, and roll channels are made linear, decoupled, and independent of flight conditions such as air density and missile velocity. In particular, the proposed autopilot controllers can provide excellent set-point tracking performance for roll and pitch channels while keeping the side-slip angle negligible. The generality and practicality of our approach are demonstrated through mathematical analysis and various simulation results using an ILAAT missile     

Adaptive control for feedback-linearized missiles withuncertainties

A robust adaptive control scheme is proposed that can be applied to a practical autopilot design for feedback-linearized skid-to-turn (STT) missiles with aerodynamic uncertainties. The approach is to add a robust adaptive controller to a feedback-linearizing controller in order to reduce the influence of the aerodynamic uncertainties. The proposed robust adaptive control scheme is based on a sliding mode control technique with an adaptive law for estimating the unknown upper bounds of uncertain parameters. A feature of the proposed scheme is that missile systems with aerodynamic uncertainties can be controlled effectively over a wide operating range of flight conditions. It is shown, using Lyapunov stability theory, that the proposed scheme can give sufficient tracking capability and stability for a feedback-linearized STT missile with aerodynamic uncertainties. The six-degree-of-freedom nonlinear simulation results also show that good performance for several uncertainty models and engagement scenarios can be achieved by the proposed scheme in practical night conditions     

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.     

导弹协同作战四维制导控制研究

提出了具有三个剖面的导弹协同作战四维制导控制构架。以BTT控制形式的导弹为例进行了四维制导控制方法研究。在分析总能量控制理论的基础上,设计了适于具有过载自动驾驶仪内回路的BTT导弹的速度/高度解耦控制器,实现了四维制导构架中速度和高度剖面的解耦,最后进行了仿真验证。仿真结果表明,四维制导控制器能够根据任务规划系统的指令控制导弹实现协同作战。     

基于自适应模糊滑模退步控制的直接力/气动力复合控制导弹自动驾驶仪设计

针对直接力/气动力复合控制导弹所具有的强耦合非线性特性,提出了一种基于自适应模糊滑模退步控制的自动驾驶仪设计方法.该方法利用自适应模糊系统所具有的万能逼近特性,对大迎角飞行过程中导弹动力学方程中存在的非线性函数进行逼近,并利用变结构控制所具有对干扰的强鲁棒性,构造误差系统滑模面,克服了逼近误差和外界干扰对控制系统的影响,实现了对大机动指令的精确跟踪.仿真结果表明,所设计的自动驾驶仪对过载指令有良好的跟踪效果,对模型不确定性和外界干扰具有鲁棒性.     

BTT导弹的抖动抑制多模型切换控制

 基于线性系统特征结构配置和模型跟踪方法,以及优化工具,提出了可以有效抑制抖动的多模型切换控制策略,并用该策略设计了 BTT导弹俯仰 /偏航通道的自动驾驶仪。在导弹的整个飞行轨道上选取了若干点,分别建立起描述 BTT导弹俯仰 /偏航运动的线性时不变数学模型。对各个线性时不变模型,分别用特征结构配置方法设计反馈控制器对系统进行镇定。为了使导弹过载跟踪制导指令,又基于模型跟踪方法设计了前馈控制器。当导弹跨越不同特征点区域时,控制器要进行切换。为了减小切换时的抖动,针对切换后的特征结构配置反馈控制器,利用优化工具合理选取其自由度。仿真结果表明,所提出的方法令导弹的输出过载准确跟踪制导指令,而且切换抖动得到有效抑制。     

Missile autopilot design via functional inversion and time-scaled transformation

This paper presents a new approach to acceleration control of STT (Skid-To-Turn) missiles. In the design and stability analysis of our autopilot, we assume perfect roll-stabilization but consider fully all other nonlinearities of the missile dynamics including the coupling effect due to bank angle. Our autopilot controller consists of a partial-linearizing controller and a dynamic compensator. The partial-linearizing controller along with a time scaled transformation can convert the nonlinear missile dynamics to the so-called normalized system which is completely independent of Mach number and almost independent of air density. The dynamic compensator is designed based on this normalized system. This normalized system greatly simplifies the design process of an autopilot controller regardless of flight conditions. Our autopilot controller can provide fast and exact set-point tracking performance but without the slow-varying conditions on angle of attack and side-slip angle required often in the prior works.     

Adaptive block dynamic surface control for integrated missile guidance and autopilot

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.