采用PQLF的不确定模糊系统最优保性能控制

对一类模有界的参数不确定T-S模糊系统的保性能控制问题进行了分析研究。一个二次指标函数表征了闭环系统的性能。采用分段二次Lyapunov函数(Piecewise quadratic Lyapunov function,PQLF)方法,在使闭环系统渐近稳定的前提下以线性矩阵不等式(Linear matrix inequality,LMI)的形式给出了一种鲁棒最优保性能控制律。同时提出了一种新型分段并行补偿(Parallel distributed compensation,PDC)控制策略。该PDC控制器同样反映了模糊系统前提变量的规则结构信息。数值仿真显示,采用该设计方法所得到的闭环保性能值优于传统二次Lyapunov函数(Common quadratic Lyapunov function,CQLF)方法下的闭环保性能值,且系统动态性能良好,鲁棒性强。     

Target-enclosing affine formation control of two-layer networked spacecraft with collision avoidance

This paper addresses a target-enclosing problem for multiple spacecraft systems by proposing a two-layer affine formation control strategy. Compared with the existing methods, the adopted two-layer network structure in this paper is generally directed, which is suitable for practical space missions. Firstly, distributed finite-time sliding-mode estimators and formation controllers in both layers are designed separately to improve the flexibility of the formation control system. By introducing the properties of affine transformation into formation control protocol design, the controllers can be used to track different time-varying target formation patterns. Besides, multi-layer time-varying encirclements can be achieved with particular shapes to surround the moving target. In the sequel, by integrating adaptive neural networks and specialized artificial potential functions into backstepping controllers, the problems of uncertain Euler-Lagrange models, collision avoidance as well as formation reconfiguration are solved simultaneously. The stability of the proposed controllers is verified by the Lyapunov direct method. Finally, two simulation examples of triangle formation and more complex hexagon formation are presented to illustrate the feasibility of the theoretical results.     

航材消耗的时间序列分析

本文采用时间序列分析法对某种航材故障率进行预测,用移动平均法消除时间序列的长期趋势和周期变动,然后按月平均法求出季节指数,并对季节指数进行调整,然后根据拟合的趋势方程对此种航材的故障率进行预测.其结果能为航材的可靠性保障提供理论依据.     

Chaotic Characteristic Analysis of Air Traffic System

Chaotic characteristics of traffic flow time series is analyzed to further investigate nonlinear characteristics of air traffic system. Phase space is reconstructed both by time delay which is built through mutual information, and by embedding dimension which is based on false nearest neighbors method. In order to analyze chaotic characteristics of time series, correlation dimensions and the largest Lyapunov exponents are calculated through Grassberger-Procaccia （G-P） algorithm and small-data method. Five-day radar data from the control center in Guangzhou area are analyzed and the results show that saturated correlation dimensions with self-similar structures exist in time series, and the largest Lyapunov exponents are all equal to zero and not sensitive to initial conditions. Air traffic system is affected hy multiple factors, containing inherent randomness, which lead to chaos. Only grasping chaotic characteristics can air traffic be predicted and controlled accurately.     

欠驱动系统控制方法实现导弹时间与角度协同

首先,给出弹目距离与视线角控制的二阶欠驱动系统的标准形式,选取这两个相关的系统状态分别构造滑模平面,滑模面能够保证系统状态的跟踪;然后,选取李雅普诺夫函数,采用李雅普诺夫稳定定理求取最终的控制量,保证两个滑模面渐近稳定,实现对撞击时间与撞击角度的同时控制;最后,在时间控制基本完成后,切换为角度精确控制。     

含模型不确定性和状态约束的航天器姿态鲁棒控制

针对严格反馈三轴稳定航天器姿态控制问题,在考虑航天器系统存在模型不确定性、未知外部扰动、系统存在时延情况下,提出了一种鲁棒控制方法。首先建立航天器误差运动学和动力学模型,使用神经网络对系统不确定性和未知扰动进行逼近、引入障碍李雅普诺夫函数对系统状态约束进行处理;然后利用反步法构造一种鲁棒自适应姿态控制器,通过李雅普诺夫方法证明闭环系统是最终一致有界的;最后,结合工程实际经验对系统已知时延进行前馈补偿。半物理仿真结果表明了所设计控制器的有效性和鲁棒性。     

基于Lyapunov稳定性理论的导弹电动舵机控制算法研究

基于Lyapunov稳定性理论,提出了导弹电动舵机的一种自适应控制算法。以Lyapunov稳定性判据为前提,保证算法的稳定性。综合自适应控制算法与经典比例积分微分（PID）控制算法,给出了模型参考自适应控制（MRAC）与分离比例积分（PI）复合控制。仿真结果表明：由该控制算法可在考虑舵机铰链力矩等因素变化条件下,获得到良好的输出跟踪性能和鲁棒性。     

Design of passive fault-tolerant flight controller against actuator failures

The problem of designing passive fault-tolerant flight controller is addressed when the normal and faulty cases are prescribed. First of all, the considered fault and fault-free cases are formed by polytopes. As considering that the safety of a post-fault system is directly related to the maximum values of physical variables in the system, peak-to-peak gain is selected to represent the relationships among the amplitudes of actuator outputs, system outputs, and reference commands. Based on the parameter dependent Lyapunov and slack methods, the passive fault-tolerant flight controllers in the absence/presence of system uncertainty for actuator failure cases are designed, respectively. Case studies of an airplane under actuator failures are carried out to validate the effectiveness of the proposed approach     

高超声速飞行器有限时间耦合模糊控制

针对高超声速飞行器的角度与角速度子系统间的耦合控制问题，提出了一种基于耦合特性评价的有限时间模糊控制方案。首先，针对高超声速飞行器的动力学模型，并且考虑到与工程实际相结合，将舵系统引入到动力学模型中，建立了相对完善的动力学模型，通过引入期望指令，建立了面向控制的动力学误差模型。其次，在控制律设计上采用终端滑模设计了有限时间控制器，同时在耦合评价的基础上，为了解决系统对耦合的适应性以及耦合的抖振问题采用了模糊控制方法，并借助于干扰观测器解决外部干扰问题。采用李雅普诺夫稳定性理论证明了所设计的控制律是有限时间稳定性的。在数字仿真过程中，充分考虑了舵系统特性、气动拉偏、控制输入抖动等因素，仿真结果表明该方法是有效的。     

Multiobjective Target Feedback Loop / Loop Transfer Recovery (TFL/LTR) design with application to aircraft lateral control in high incidence regime

Target Feedback Loop / Loop Transfer Recovery (TFL/LTR) synthesis and multiobjective optimization are combined to design robust and well performing controllers in a most general sense. A TFL/LTR synthesis based on quadratic stabilization is used to efficiently synthesize robustly stabilizing controllers. Multiobjective optimization is used to tune synthesis parameters for which the TFL/LTR controller yields good performance in addition to robust stability. The technique is demonstrated in the design of a lateral controller for a high performance aircraft in high incidence regime.