Reconfigurable fault-tolerant control for supersonic missiles with actuator failures under actuation redundancy

Aircraft undergoing actuator failures into under-actuation have been seldom studied in literature. Aiming at addressing actuator failures of Total Loss of Effectiveness (TLOE) as well as Partial Loss of Effectiveness (PLOE) resulting in different system actuations, reconfigurable Fault-Tolerant Control (FTC) is proposed for supersonic wingless missiles under actuation redundancy. The under-actuated system of TLOE failure patterns is solved by transformation to cascade systems through a ‘shape variable’. Meanwhile, actuator TLOE faults of different unknown failure patterns from proper actuation to under-actuation are accommodated by a reconfigurable adaptive law on a multiple-model basis. The backstepping technique with the Extended State Observer (ESO) method adopted as a basic strategy is applied to an established symmetric coupled missile system with actuator PLOE faults, modeling errors, and external disturbances. Additionally, the nonlinear saturation characteristics of actuators are settled by an auxiliary system with the Nussbaum function technique. The stability of the control system is analyzed and proven through Lyapunov theory. Numerical simulations are implemented in the presences of aerodynamic uncertainties, gust disturbance, and actuator failures. Results demonstrate the effectiveness of the proposed method with satisfactory tracking performance and actuator fault tolerance capacity.     

Predictive fault-tolerant control of an all-thruster satellite in 6-DOF motion via neural network model updating

The problem of controlling an all-thruster spacecraft in the coupled translational-rotational motion in presence of actuators fault and/or failure is investigated in this paper. The nonlinear model predictive control approach is used because of its ability to predict the future behavior of the system. The fault/failure of the thrusters changes the mapping between the commanded forces to the thrusters and actual force/torque generated by the thruster system. Thus, the basic six degree-of-freedom kinetic equations are separated from this mapping and a set of neural networks are trained off-line to learn the kinetic equations. Then, two neural networks are attached to these trained networks in order to learn the thruster commands to force/torque mappings on-line. Different off-nominal conditions are modeled so that neural networks can detect any failure and fault, including scale factor and misalignment of thrusters. A simple model of the spacecraft relative motion is used in MPC to decrease the computational burden. However, a precise model by the means of orbit propagation including different types of perturbation is utilized to evaluate the usefulness of the proposed approach in actual conditions. The numerical simulation shows that this method can successfully control the all-thruster spacecraft with ON-OFF thrusters in different combinations of thruster fault and/or failure.     

Neural network-based fault diagnosis for spacecraft with single-gimbal control moment gyros

This paper proposes a neural network-based fault diagnosis scheme to address the problem of fault isolation and estimation for the Single-Gimbal Control Moment Gyroscopes(SGCMGs) of spacecraft in a periodic orbit. To this end, a disturbance observer based on neural network is developed for active anti-disturbance, so as to improve the accuracy of fault diagnosis.The periodic disturbance on orbit can be decoupled with fault by resorting to the fitting and memory ability of neural network. Subsequ...     

ADS数据的处理和显示

基于航空卫星通信的飞行监视,即自动相关监视（ADS）,是航空卫星移动业务（AMSS）通信应用新领域,是建立在航空卫星通信基础上的一种新的飞行监视技术。该文介绍了基本ADS报告信息电文的组成及各部分的含义,着重阐述将所收到的ADS数据进行处理,并以直观易懂的表格及图象形式显示出来,便于确切地知道飞机的四维位置（纬度、经度、高度和时间）。     

螺旋桨桨叶1P气动载荷研究

介绍了一种１Ｐ载荷实验研究方法－桨叶应变测试法,首先通过桨叶剖面速度三角形及气动力分析给出了１Ｐ载荷与测量应变的关系,然后通过地面试验和飞行试验进行了验证。试验结果表明,螺旋桨１Ｐ载荷主要由于非对称气流流过桨盘面改变了桨叶剖面速度三角形而引起,迎角,侧滑角的增加,会产生较大的１Ｐ载荷;机动飞行,如快速拉杆,荷兰滚等也会产生较大的１Ｐ载荷。     

SQP方法在航空发动机加速过程控制中的应用研究

本文研究了采用非线性规划方法中的序列二次规划最优化方法解决涡轮风扇发动机加速过程的最优控制问题。在研究中,考虑了发动机加速过程中的压气机喘振边界、涡轮最高温度限制、转子最高转速限制、燃烧富油熄火限制等各种约束条件,以及执行机构的惯性、延迟等机械特性。仿真结果表明:应用序列二次规划法进行加速最优控制是可行的,发动机在加速过程中能准确地沿着各约束边界进行加速,从而充分发挥了发动机的潜力,大大地改善了发动机的加速性。      

绳系卫星横向振动的控制方法

研究绳系卫星绳索横向振动问题。首先建立绳索振动方程,由Pontrgasin方法求得抑制绳索横向振动的纵向优化控制力。实现方式为开启母星体内的电机控制绳长使星体产生加速度,星体惯性力导致绳轴向附加张力。      

线性模型跟踪控制系统的模型匹配设计

研究了用完全模型匹配方法求解模型跟踪控制的问题。对通常的模型匹配解法进行了扩展,并所据此引入广义最小方差控制思想,提出一种模型跟踪和误差的新方法。最后,对该方法在惯性导航系统中的应用进行了仿真研究。验证了其可行性和有效性。     

速率控制下的空间系绳的伸展

以地球同步轨道高度上的空间系绳的伸展为例,阐述了长度速率控制律中的参数对伸展过程的影响,控制律中参数选择的方法,最大系绳拉力的估算以及伸展过程中系绳应力的计算。     

具有无源控制空腔时正激波/湍流附面层干扰的数值模拟

采用雷诺平均N-S方程和B/L代数湍流模型计算了具有无源控制空腔时正激波/湍流附面层干扰流场。计算与实验结果的比较表明,本文方法可较准确地预测激波结构、激波与附面层干扰区流动基本特征及波后流动分离状态、激波位置、波前马赫数等参数。