卫星制导炸弹参数空间法控制器设计

针对卫星制导炸弹在飞行过程中存在的参数摄动问题,特别是大空域参数时变,经典控制理论所设计的控制器难以满足要求.为消除干扰,保证系统的稳定性,采用参数空间法设计卫星制导炸弹的飞行控制系统,以适应其参数的大范围的变化,提高了控制精度.对某型号卫星制导炸弹,设计了俯仰通道的参数空间法控制律,给出了卫星制导炸弹控制系统计算机辅助设计的算法.数字仿真结果表明,方法能有效地解决卫星制导炸弹参数摄动带来的控制器设计问题,增强了控制系统的稳定性和鲁棒性.     

基于二次稳定的仿真转台鲁棒控制器设计

针对摩擦力矩干扰,系统参数摄动等非线性扰动环节对仿真转台控制系统的影响,提出了基于二次稳定理论的仿真转台鲁棒控制器设计思想。分析了二次稳定理论的基本原理及设计方法,给出了某型飞行仿真转台基于二次稳定的状态反馈控制器和PID鲁棒控制器设计实例。仿真结果表明,基于二次稳定理论的控制器克服了摩擦力矩干扰以及转动惯量摄动对仿真转台的影响,实现了转台转角的精确控制,动态指标优越,满足了高精度飞行仿真转台系统的鲁棒控制要求。     

一类奇异摄动时滞不确定系统鲁棒稳定性

为了解决复杂工业过程控制系统由于工程设计时模型描述的不完全性造成的不稳定,针对一类常见的奇异摄动时滞不确定线性系统,研究了其鲁棒稳定性问题。通过对系统各参数日。范数有界摄动分析,获得了系统时滞有关稳定的充分条件。给出了保证系统稳定的时滞τ及奇异摄动参数ε的上界,在工程设计中为复杂工业过程控制系统稳定边界的判别提供了简单有效的手段。应用实例表明了奇异摄动时滞不确定系统鲁棒稳定性充分条件使用的方便性。     

基于异步切换多胞系统的网络化飞行器故障检测

本文研究了存在时变短时延和随机丢包的大包线网络化飞行器故障检测问题.首先,采用切换多胞系统描述飞行动态,并提出了一种局部重叠多胞划分方式以较低设计保守性.然后,借助泰勒级数展开和伯努利分布将时延和丢包转化为多胞系统参数,并构建了切换参数依赖故障检测滤波器.同时,考虑滤波器切换指令及多胞加权参数更新滞后引起的异步切换问题,基于切换参数依赖Lyapunov函数和平均驻留时间方法分析了系统的稳定性和l2性能,并以LMI形式给出了滤波器存在的充分条件.最后,以HiMAT(highly maneuverable technology)飞行器为例验证了所提方法的有效性.     

基于Delta算子的永磁直线同步电机非脆弱保性能速度控制器设计

利用Delta算子离散化系统采样周期是显式参数的特点,基于Delta算子方法对永磁直线同步电机(PMLSM)不同采样周期下的非脆弱保性能速度控制器的统一化设计问题进行研究.以线性矩阵不等式(LMI)给出该控制器的存在条件.通过对PMLSM闭环系统极点的分析,表明所设计的非脆弱保性能速度控制器不但能保证PMLSM在其对象参数和控制器参数同时发生范数有界摄动时闭环系统仍保持渐近稳定,而且系统的二次型性能指标上界的数学期望值不超过某个给定的上界,而不考虑控制器参数摄动情况所设计的控制器在其参数摄动时闭环系统将无法保持稳定.     

基于区间二型T-S模糊模型的网络控制系统的输出反馈预测控制

针对干扰作用下的非线性网络控制系统,给出了带一个自由控制作用的输出反馈预测控制方法.首先,利用区间二型T-S模糊模型描述具有参数不确定性的非线性对象,采用马尔科夫链描述系统中的随机丢包过程,由此建立了丢包网络环境下的非线性网络控制系统的数学模型.然后,通过引入二次有界技术得到了干扰作用下网络控制系统的稳定性描述方法,并在此基础上给出了状态观测器的线性矩阵不等式条件.最后,基于估计状态,通过将无穷时域控制作用参数化为一个自由控制作用加一个线性反馈律得到了输出反馈预测控制方法.论文的特色在于构建了在线更新误差椭圆集合的基本方法,满足了约束条件下输出反馈预测控制保证稳定性的要求.仿真例子验证了所提方法的有效性.     

高超声速飞行器基于特征模型的自适应姿控系统稳定性分析

文中研究了高超声速飞行器基于特征模型的全系数自适应姿态控制系统的稳定性问题,提出了一种通过计算有限个矩阵导出1范数或无穷范数来分析系统稳定性的方法,克服了特征模型时变和参数辨识给稳定性分析造成的困难.首先利用泰勒展开,获得高超飞行器姿态动力学输入输出描述的离散化方程.该组方程具有二阶特征模型的形式,可以分析出系统处于一个工作点附近时特征模型参数的取值范围.当使用线性反馈控制器,并引入一定保守性的情况下,可以将闭环系统看作一类由区间时变参数决定的时变对象.对于这样的一类对象,文中给出了其指数稳定的充要条件.最后利用前述结果,给出了判断高超声速飞行器基于特征模型的自适应控制系统稳定的充分条件,并通过一个算例来说明该方法的应用.     

二级倒立摆的H_∞状态反馈控制

本文扼要地给出了结构参数不确定系统H.范数约束下二次稳定的充要条件及相应的控制器设计方法,并对典型的二级倒立摆平衡控制系统进行了研究.通过仿真等手段,与常规LQG设计结果进行了全面比较.     

H_∞混合灵敏度方法在大包线飞控系统中的应用

针对现代飞机飞行包线的不断扩展,当前飞控系统设计中一个非常重要的问题就是要实现全包线飞行控制功能。为了获得大包线飞行范围模型参数变化系统良好的操纵品质,在给定飞行包线内选取标称设计点,应用基于H_∞混合灵敏度方法,设计大包线范围内的俯仰角运动的H_∞鲁棒控制器,并选取验证点对设计出的控制器进行验证。仿真结果表明,所设计出来的飞行控制系统在大包线范围内具有良好的鲁棒稳定性,还具有很好的鲁棒性能。     

混合不确定系统的鲁棒稳定性

研究兼有参数不确定性和非结构不确定性的混合不确定系统的鲁棒稳定性,该问题 可以转化为具有参数摄动的传递函数族的最大H∞范数的计算问题,针对区间对象的加权 H∞范数的最大值问题,给出了精确的计算公式并讨论了顶点检验成立的条件.     

Uncertainty modeling and robust minimax LQR control of multivariable nonlinear systems with application to hypersonic flight

For a class of multi‐input and multi‐output nonlinear uncertainty systems, a novel approach to design a nonlinear controller using minimax linear quadratic regulator (LQR) control is proposed. The proposed method combines a feedback linearization method with the robust minimax LQR approach in the presence of time‐varying uncertain parameters. The uncertainties, which are assumed to satisfy a certain integral quadratic constraint condition, do not necessarily satisfy a generalized matching condition. The procedure consists of feedback linearization of the nominal model and linearization of the remaining nonlinear uncertain terms with respect to each individual uncertainty at a local operating point. This two‐stage linearization process, followed by a robust minimax LQR control design, provides a robustly stable closed loop system. To demonstrate the effectiveness of the proposed approach, an application study is provided for a flight control problem of an air‐breathing hypersonic flight vehicle (AHFV), where the outputs to be controlled are the longitudinal velocity and altitude, and the control variables are the throttle setting and elevator deflection. The proposed method is used to derive a linearized uncertainty model for the longitudinal motion dynamics of the AHFV first, and then a robust minimax LQR controller is designed, which is based on this uncertainty model. The controller is synthesized considering seven uncertain aerodynamic and inertial parameters. The stability and performance of the synthesized controller is evaluated numerically via single scenario simulations for particular cruise conditions as well as a Monte‐Carlo type simulation based on numerous cases. It is observed that the control scheme proposed in this paper performs better, especially from the aspect of robustness to large ranges of uncertainties, than some controller design schemes previously published in the literature. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Robust dissipative control for linear systems with dissipative uncertainty and nonlinear perturbation

This paper focuses on the problem of dissipative control for linear systems which are subjected to dissipative uncertainty and matched nonlinear perturbation. Specifically, quadratic dissipative uncertainty is considered, which contains norm-bounded uncertainty, positive real uncertainty and uncertainty satisfying integral quadratic constraints (IQCs) as special cases. We develop a linear matrix inequality (LMI) approach for designing a robust nonlinear state feedback controller such that the closed-loop system is quadratic dissipative for all admissible uncertainties. Furthermore, under some condition on the dissipative uncertainty, we show that the controller also guarantees the asymptotic stability of the closed-loop system. As special cases, robust H_∞ control and robust passive control problems for systems with nonlinear perturbation and norm-bounded uncertainty (respectively, generalized positive real uncertainty) are solved using the LMI approach.     

Nonlinear robust state feedback control system design for nonlinear uncertain systems

This paper presents a systematic approach to the design of a nonlinear robust dynamic state feedback controller for nonlinear uncertain systems using copies of the plant nonlinearities. The technique is based on the use of integral quadratic constraints and minimax linear quadratic regulator control, and uses a structured uncertainty representation. The approach combines a linear state feedback guaranteed cost controller and copies of the plant nonlinearities to form a robust nonlinear controller with a novel control architecture. A nonlinear state feedback controller is designed for a synchronous machine using the proposed method. The design provides improved stability and transient response in the presence of uncertainty and nonlinearity in the system and also provides a guaranteed bound on the cost function. An automatic voltage regulator to track reference terminal voltage is also provided by a state feedback equivalent robust nonlinear proportional integral controller. Copyright © 2016 John Wiley & Sons, Ltd.     

Biquadratic stability of uncertain linear systems

Deals with the problem of stability analysis for linear systems with uncertain real, possibly time-varying, parameters. A robust stability approach based on a Lyapunov function which depends quadratically on the uncertain parameters as well as in the system state is proposed. This robust stability approach, referred to as biquadratic stability, is suited to deal with uncertain real parameters with magnitude and rate of change which are confined to a given convex region. A linear matrix inequality based sufficient condition for biquadratic stability is developed. The proposed robust stability analysis method includes quadratic stability and affine quadratic stability as particular cases     

Adaptive backstepping controller design for nonlinear uncertain systems using fuzzy neural systems

In this article, we propose an adaptive backstepping control scheme using fuzzy neural networks (FNNs), ABC_FNN, for a class of nonlinear non-affine systems in non-triangular form. The nonlinear non-affine system contains the uncertainty, external disturbance or parameters variations. Two kinds of FNN systems are used to estimate the unknown system functions. According to the FNN estimations, the adaptive backstepping control (ABC_FNN) signal can be generated by backstepping design procedure such that the system output follows the desired trajectory. To ensure robustness and performance, a proportional-integral-surface function and robust controller are designed to improve the control performance. Based on the Lyapunov stability theory, the stability of a closed-loop system is guaranteed and the adaptive laws of the FNN parameters are obtained. This approach is also valid for nonlinear affine system with uncertainty or disturbance. The uncertainty and disturbance terms are estimated by FNNs and treated by the ABC_FNN scheme. Finally, the effectiveness of the proposed ABC_FNN is demonstrated through the simulation of controlling a nonlinear non-affine system and the continuously stirred tank reactor plant to demonstrate the performances of our approach.     

GENERALIZED QUADRATIC STABILIZATION FOR DISCRETE‐TIME SINGULAR SYSTEMS WITH TIME‐DELAY AND NONLINEAR PERTURBATION

This paper discusses a generalized quadratic stabilization problem for a class of discrete‐time singular systems with time‐delay and nonlinear perturbation (DSSDP), which the satisfies Lipschitz condition. By means of the S‐procedure approach, necessary and sufficient conditions are presented via a matrix inequality such that the control system is generalized quadratically stabilizable. An explicit expression of the static state feedback controllers is obtained via some free choices of parameters. It is shown in this paper that generalized quadratic stability also implies exponential stability for linear discrete‐time singular systems or more generally, DSSDP. In addition, this new approach for discrete singular systems (DSS) is developed in order to cast the problem as a convex optimization involving linear matrix inequalities (LMIs), such that the controller can stabilize the overall system. This approach provides generalized quadratic stabilization for uncertain DSS and also extends the existing robust stabilization results for non‐singular discrete systems with perturbation. The approach is illustrated here by means of numerical examples.     

时滞不确定飞行系统神经网络非脆弱H∞控制

针对具有参数摄动和状态时延的时滞不确定飞行系统,提出了一种神经网络非脆弱H_∞控制方案。该方案将鲁棒H_∞控制和神经网络控制结合起来,利用径向基神经网络的非线性逼近能力,对飞行系统的非线性不确定项进行逼近。由线性矩阵不等式（LMI）设计系统标称部分的鲁棒控制器,然后利用神经网络的输出来消除系统控制输入中的不确定部分。Lyapunov稳定性分析中,综合考虑了系统参数摄动、时延和神经网络逼近误差的影响,并证明了在所设计的飞行控制器作用下,闭环系统的稳定性。仿真实例验证了提出的飞行控制方案的可行性和有效性。     

基于反步法的高超音速飞机纵向逆飞行控制

针对高超音速飞机纵向运动的数学模型具有严重非线性、不稳定、多变量耦合以及不确定的气动参数等特点,采用非线性动态逆控制与反步法相结合的方法为其设计飞行控制系统．该系统以非线性动态逆控制作为控制内环,通过将非线性的多输入多输出系统进行精确线性化,解除了多变量之间的强耦合关系;并以反步法作为控制外环．保证系统的全局稳定以及抑制不确定参数的扰动．仿真研究表明．所提出的控制方法可以确保高超音速飞机的纵向稳定性．改善其飞行品质．     

递阶H∞ 方法及其在阵风干扰下飞机着陆控制中的应用

本文对阵风干扰下的飞机着陆控制问题进行了研究,将Ｈ∞方法与大系统结构摄动递阶控制思想相结合,给出了具有鲁棒稳定性的递阶Ｈ∞控制器,在求解摄动矩阵时,针对系统矩阵不可逆的情况,提出了一种摄动矩阵的计算方法,对某型飞机的应用仿真结果表明,一文所给的递阶Ｈ∞控制器,阵风干扰能够被抑制在工程允许的范围之内。