基于模糊模型的鲁棒自适应重构飞行控制

提出了一种基于模糊模型的歼击机鲁棒自适应重构控制方案。整个控制方案基于T S模糊模型,将歼击机各飞行状态的局部线性调节器与鲁棒自适应神经网络重构控制器相结合,避免了传统的增益预置方法中控制律在不同工作点之间切换造成的参数突变对系统性能的影响,可以保证系统在全局上拥有局部工作点具有的期望性能,证明了重构系统的全局闭环渐近稳定性。所提出的带有补偿项的完全自适应RBF神经网络,通过在线自适应调整RBF神经网络的权重、函数中心和宽度,提高了神经网络的学习能力,同时通过自适应补偿项来在线估计神经网络的近似误差边界,可以有效地在线修正建模误差、外扰及操纵面故障等因素的影响,保证系统的操纵品质。仿真结果表明了所提出方法的有效性。     

航空发动机T-S分布式系统自适应鲁棒滑模控制

为提高航空发动机非线性不确定分布式控制系统的鲁棒性,考虑参数摄动,外部干扰,随机时延的影响,采用一种基于飞行包线划分的航空发动机T-S模糊模型,进行了鲁棒自适应滑模控制方法的研究。基于鲁棒H∞理论,针对模糊规则的状态空间模型,推导了滑模运动渐进稳定的充分条件,设计具有扰动抑制性能的鲁棒滑模面;基于并行分布补偿技术,采用与T-S模型相同的模糊规则,确定全局模糊滑模控制器设计策略,在此基础上,采用自适应技术估计未知干扰上界,设计了自适应滑模控制器,并证明了系统在控制器作用下的到达性。仿真结果表明该方法能够保证系统渐进稳定,对所考虑的不确定性因素鲁棒性较好,有效削弱了抖振,对不同工作点和干扰条件具有良好的适应性。     

基于多模型切换的航空发动机分布式鲁棒跟踪控制器设计

针对航空发动机分布式控制系统的网络诱导时延问题,考虑到全包线范围的区域划分,将系统建立为多模型条件下的具有模型参数不确定性的切换系统;为实现对参考信号的跟踪,提出了一种切换鲁棒跟踪控制器,并利用鲁棒控制理论以及Lyapunov函数推导出使系统状态变量跟踪参考输入信号并具有一定鲁棒性能的反馈矩阵求解方法;将所提出的方法通过MATLAB仿真和分布式控制系统半物理仿真实验平台对该跟踪控制器进行了仿真验证。结果表明:在两个平台验证时,定常信号响应的调节时间分别为1.06s和2.25s,且能够迅速稳定在参考输入转速的附近,说明该切换鲁棒跟踪控制器能够在存在时延的条件下具有良好的跟踪性能。     

μ理论在电液负载模拟器中的应用

 研究μ理论在电液负载模拟器中的应用，提出电液负载模拟器的鲁棒控制策略。电液负载模拟器是一个复杂的机-电-液复合系统，且是一个强耦合、时变受控对象。综合考虑参数变化、模型变动和干扰等不确定性的影响，利用μ综合控制理论设计电液负载模拟器的鲁棒力控制器，并通过μ分析使用鲁棒力控制器时系统的鲁棒稳定性和鲁棒性能。给出使用鲁棒力控制器和经典力控制器时的实验结果，实验结果表明所设计鲁棒力控制器的有效性和优越性。     

基于特征模型的高超声速飞行器鲁棒控制方法

针对高超声速飞行器不确定性因素多、参数变化范围大的特点,将特征建模理论与多模型自适应控制方法相结合,设计了一种基于特征模型的鲁棒自适应控制方案.将飞行器的飞行包络划分为若干个子空间,基于对象特征模型分别设计各子空间的H,鲁棒控制器,飞行过程中,通过在线辨识得到的特征模型参数对各子控制器进行平滑切换.该控制方案不但可以较...     

控制性能精确可控的自适应鲁棒容错控制方法研究

一般而言,实现控制性能约束精确可控与满足控制系统鲁棒的要求之间存在着难以两全的矛盾。容错控制也是如此,精准的控制性能要求与对故障诊断误差的鲁棒性之间也存在着这样的矛盾。针对这一问题,提出了将参数空间方法、变结构理论以及模型参考自适应理论相结合的自适应鲁棒容错控制方法。该方法的基本思路是将容错控制系统分为内外两部分,内部为基于参数空间的容错控制系统,可以灵活适应精确的控制性能约束(对应极点配置)和一定范围的控制性能约束(对应区域极点配置),外部则为基于变结构模型参考自适应方法的控制系统,主要目的是提高容错控制系统的鲁棒性。通过仿真证明了这种自适应鲁棒容错控制方法既能保证系统满足精确的控制性能约束,又能保证对故障诊断误差有较高的鲁棒性。     

基于有向图的航天器编队飞行自适应姿态协同控制

在有向通信拓扑下研究了编队航天器自适应姿态协同控制问题。针对航天器编队飞行系统中存在外部扰动和模型不确定性的情况,通过选取包含相对姿态误差和绝对姿态误差的辅助变量,提出了一种鲁棒自适应控制策略。提出了自适应律估计转动惯量矩阵和扰动上界等未知参数,并且利用Lyapunov稳定性理论分析了闭环系统的渐近稳定性。与滑模控制等传统鲁棒控制不同,所设计的鲁棒自适应控制器是连续的,更便于航天器编队飞行系统的实现。最后通过仿真验证了该控制策略能够实现高精度的编队飞行跟踪控制。     

基于鲁棒可靠性的不确定系统最优二次鲁棒镇定控制器设计

 基于二次稳定性准则，从可靠性这一新的角度考虑不确定系统的稳定性问题，提出了基于鲁棒可靠性的不确定系统鲁棒镇定控制器设计方法，将鲁棒控制器设计归结为基于可靠性的优化问题：以鲁棒可靠度为约束，极小化控制代价。依据该法设计的控制系统可满足稳定性意义上的鲁棒可靠性要求，并给出保证系统稳定性所要求的基本参数的最大鲁棒界限。适用于不确定参数的摄动范围准确已知和未知等情况。对F4E型战斗机的稳定控制器设计及对比研究表明了所提方法是实用、有效和可行的。     

双回路鲁棒控制方法在弹性飞行器中的应用

针对弹性飞行器综合鲁棒控制性能受模型降阶误差影响的问题,提出了一种双回路鲁棒控制设计方法.首先利用次优控制方法设计内反馈回路,有效降低了降阶后模型的误差界;然后采用混合灵敏度H∞鲁棒控制方法设计外回路,保证了系统的鲁棒稳定性和性能.仿真结果表明,双回路方法并没有增加控制器阶次,但在满足系统鲁棒稳定性要求的前提下较大地提升了控制器性能,其控制性能明显优于单回路鲁棒控制器.同时这种控制器能够有效降低控制系统与动力学系统间的不利耦合,延缓伺服颤振的发生,是一种非常适用于弹性飞行器的控制方法.     

微小型直升机非线性鲁棒控制器设计

针对含有未建模动态的微小型直升机非线性模型,设计了基于反步法和自适应模糊系统的自主飞行控制器.该控制器包含两个回路:航迹控制外回路和姿态控制内回路.外回路通过旋转矩阵实现对内回路姿态的控制,而非传统的欧拉角或姿态四元数.控制器采用自适应Takagi-Sugeno(TS)模糊系统在线补偿系统未建模动态的影响,并利用反步法完成控制器综合.所设计的算法在确保整个控制系统稳定性的同时又可保证系统能够有效应对未建模动态的影响.系统仿真结果表明,在盘旋上升飞行模态下控制系统能够快速准确地跟踪预设轨迹,并且具有良好的鲁棒性能.     

Nonlinear Adaptive Robust Force Control of Hydraulic Load Simulator

This paper deals with the high performance force control of hydraulic load simulator. Many previous works for hydraulic force control are based on their linearization equations, but hydraulic inherent nonlinear properties and uncertainties make the conventional feedback proportional-integral-derivative control not yield to high-performance requirements. In this paper, a nonlinear system model is derived and linear parameterization is made for adaptive control. Then a discontinuous projection-based nonlinear adaptive robust force controller is developed for hydraulic load simulator. The proposed controller constructs an asymptotically stable adaptive controller and adaptation laws, which can compensate for the system nonlinearities and uncertain parameters. Meanwhile a well-designed robust controller is also developed to cope with the hydraulic system uncertain nonlinearities. The controller achieves a guaranteed transient performance and final tracking accuracy in the presence of both parametric uncertainties and uncertain nonlinearities; in the absence of uncertain nonlinearities, the scheme also achieves asymptotic tracking performance. Simulation and experiment comparative results are obtained to verify the high-performance nature of the proposed control strategy and the tracking accuracy is greatly improved.     

基于混合区域极点配置的航空发动机全包线鲁棒变参数控制器设计

针对航空发动机全包线多变量鲁棒变增益控制器设计问题,提出了一种基于混合区域极点配置的鲁棒变参数控制方法。利用Jacobian方法建立多调度参数下的发动机仿射线性变参数(Linear parameter varying,LPV)模型,用于描述发动机全包线内的非线性动态特性;针对上述LPV模型,采用仿射参数依赖Lyapunov函数设计具有H∞鲁棒性能的状态反馈控制器,给出了控制系统全局稳定性的证明;并利用混合区域极点配置方法,将闭环系统极点配置到左半平面指定位置,以保证控制系统的动态特性及稳定裕度;进而引入凸多胞技术,将参数依赖线性矩阵不等式(Linear matrix inequality,LMI)方程转化为有限维LMI进行控制器求解,并得到了全局解。针对涡扇发动机的仿真结果表明:存在复杂量测噪声干扰条件下,鲁棒变参数控制器可以实现发动机全包线内控制指令的精确跟踪,系统阶跃响应的调节时间不超过1.5s,系统无超调,对控制期望的稳态跟踪误差在0.02%以内,符合发动机控制系统技术要求。     

Experimental study in adaptive tracking control

The authors describe an experimental study of adaptive pointing and tracking control for flexible spacecraft conducted on a complex ground experiment facility. The algorithm used is based on a multivariable direct model reference adaptive control law. Several experimental validation studies performed using this algorithm for vibration damping and robust regulation are extended by addressing the pointing and tracking problem. As is consistent with an adaptive control framework, the plant is assumed to be poorly known to the extent that only system level knowledge of its dynamics is available. Explicit bounds on the steady-state pointing error are derived as functions of the adaptive controller design parameters. It is shown that good tracking performance can be achieved in an experimental setting by adjusting adaptive controller design weightings according to the guidelines indicated by the analytical expressions for the error     

Robust adaptive fault-tolerant control of a tandem coaxial ducted fan aircraft with actuator saturation

This paper is concerned with the robust adaptive fault-tolerant control of a tandem coaxial ducted fan aircraft under system uncertainty, mismatched disturbance, and actuator saturation. For the proposed aircraft, comprehensive controllability analysis is performed to evaluate the controllability of each state as well as the margin to reject mismatched disturbance without any knowledge of the controller. Mismatched disturbance attenuation is ensured through a structured H-infinity controller tuned by a non-smooth optimization algorithm. Embedded with the H-infinity controller, an adaptive control law is proposed in order to mitigate matched system uncertainty and actuator fault. Input saturation is also considered by the modified reference model. Numerical simulation of the novel ducted fan aircraft is provided to illustrate the effectiveness of the proposed method. The simulation results reveal that the proposed adaptive controller achieves better transient response and more robust performance than classic Model Reference Adaptive Control (MRAC) method, even with serious actuator saturation.     

Modified robust optimal adaptive control for flight environment simulation system with heat transfer uncertainty

To solve the rapid transient control problem of Flight Environment Simulation System (FESS) of Altitude Ground Test Facilities (AGTF) with large heat transfer uncertainty and disturbance, a new adaptive control structure of modified robust optimal adaptive control is presented. The mathematic modeling of FESS is given and the influence of heat transfer is analyzed through energy view. To consider the influence of heat transfer in controller design, we introduce a matched uncertainty that represents heat transfer influence in the linearized system of FESS. Based on this linear system, we deduce the design of modified robust optimal adaptive control law in a general way. Meanwhile, the robust stability of the modified robust optimal adaptive control law is proved through using Lyapunov stability theory. Then, a typical aero-engine test condition with Mach Dash and Zoom-Climb is used to verify the effectiveness of the devised adaptive controller. The simulation results show that the designed controller has servo tracking and disturbance rejection performance under heat transfer uncertainty and disturbance; the relative steady-state and dynamic errors of pressure and temperature are both smaller than 1% and 0.2% respectively. Furthermore, the influence of the modification parameter γ is analyzed through simulation. Finally, comparing with the standard ideal model reference adaptive controller, the modified robust optimal adaptive controller obviously provides better control performance than the ideal model reference adaptive controller does.     

改进参考模型的涡扇发动机多变量模型参考自适应控制

针对涡扇发动机难以获得精确数学模型和普通模型参考自适应控制不保证动态性能的问题,提出了一种具有改进参考模型的涡扇发动机多变量模型参考自适应控制方法。采用状态反馈形式设计了状态跟踪的多变量自适应控制器,其中对参考模型作了引入跟踪误差反馈的改进,使得高自适应增益下跟踪曲线的超调得到明显的抑制,动态响应得到改善。应用该方法对涡扇发动机非线性部件级模型进行仿真分析,结果表明,控制系统调节时间小于2s,无稳态误差,具有良好的控制品质。     

涡喷发动机多变量自适应加速控制

提出了一种模型参考自适应控制方法, 并应用于双转子涡喷发动机多变量控制系统。仿真研究表明, 该方法在整个飞行包线内均有满意的瞬态响应, 对非线性的建模不确定性具有较好的鲁棒性, 以及对多变量系统中较强的耦合作用有较好的解耦效果。与传统的调节器相比, 发动机加速时间约减少16%, 加速过程中发动机推力明显增加, 平衡状态仍可提高约9%。      

航空发动机自适应神经网络PID控制

本文提出了一种航空发动机多变量自适应神经网络 PID控制方法, 采用基于共轭梯度的神经网络学习算法在线整定控制器参数。该控制器的设计无需知道发动机精确模型, 具有响应速度快、抗干扰能力强和鲁棒性好等优点。控制器不仅算法简单, 实现容易, 而且适用范围广。      

Attitude tracking control for variable structure near space vehicles based on switched nonlinear systems

An adaptive robust attitude tracking control law based on switched nonlinear systems is presented for a variable structure near space vehicle (VSNSV) in the presence of uncertainties and disturbances. The adaptive fuzzy systems are employed for approximating unknown functions in the flight dynamic model and their parameters are updated online. To improve the flight robust performance, robust controllers with adaptive gains are designed to compensate for the approximation errors and thus they have less design conservation. Moreover, a systematic procedure is developed for the synthesis of adaptive fuzzy dynamic surface control (DSC) approach. According to the common Lyapunov function theory, it is proved that all signals of the closed-loop system are uniformly ultimately bounded by the continuous controller. The simulation results demonstrate the effectiveness and robustness of the proposed control scheme.     

应用保护映射理论的高超声速飞行器自适应控制律设计

针对高超声速飞行器包线范围广、参数变化大的控制需求,应用保护映射理论提出一种高超声速飞行器的自适应控制律设计方法。首先建立整个飞行包线内的线性变参数(LPV)模型,在参数变化边界点设计一个初始的控制结构和参数,然后基于保护映射理论分析初始控制结构使闭环系统稳定的参数范围,通过迭代自动获取整个包线内满足性能指标的控制参数,进而通过多项式拟合设计出高超声速飞行器自适应控制律。所提出的方法能够根据初始控制结构自动寻找一系列满足性能要求的控制器参数,并确定这些控制参数满足闭环系统稳定的设计范围。仿真结果表明,所设计的自适应控制律能够确保高超声速飞行器大包线的设计要求,实现闭环系统的鲁棒稳定。