受细胞膜放电模型启发的航天器姿态鲁棒控制

研究了具有模型参数不确定和受空间环境干扰影响的挠性航天器姿态大角度快速机动快速稳定控制问题,设计了一种受细胞膜放电模型启发的鲁棒姿态控制器。综合考虑挠性航天器的强非线性和强耦合特性,设计了对模型参数和环境干扰具有鲁棒性的姿态机动控制器。为了减小机动中姿态突变激发的挠性附件振动,基于细胞膜放电的动力学模型设计了一种改进的鲁棒控制器。当参数不确定范围和干扰有界时,所提鲁棒控制器可使闭环系统的解最终一致有界。最后,分析了控制器参数对姿态控制性能及所需能量的影响。数值仿真验证了所提鲁棒控制器用于姿态机动控制可以得到良好的效果。     

Formation control using μ-synthesis for Inner-Formation Gravity Measurement Satellite System

Inner-Formation Gravity Measurement Satellite System (IFGMSS) is used to map the gravity field of Earth. The IFGMSS consists of two satellites in which one is called “inner satellite” and the other one is named as “outer satellite”. To measure the pure Earth gravity, the inner satellite is located in the cavity of the outer satellite. Because of the shield effect of the cavity, the inner satellite is affected only by the gravitational force, so it can sense Earth gravity precisely. To avoid the collision between the inner satellite and the outer satellite, it is best to perform a real-time control on the outer satellite. In orbit, the mass of the outer satellite decreases with the consumption of its propellant. The orbit angular rate of the inner satellite varies with time due to various disturbing forces. These two parameters’ uncertainties make the C–W function be not so accurate to describe the formation behavior of these two satellites. Furthermore, the thrusters also have some uncertainties due to the unmodelled dynamics. To cancel the effects caused by the above uncertainties, we have studied the robust control method based on the μ-synthesis. This μ-synthesis eliminates the conservativeness and improves the control efficiency comparing with the H_∞ method. Finally, to test the control method, we simulate an IFGMSS mission in which the satellite runs in a sun synchronous circular orbit with an altitude of 300 km. The simulation results show the effectiveness of the robust control method. The performances of the closed-loop system with the μ-controller are tested by the μ-analysis. It has found that the nominal performance, the robust stability and the robust performance are all achieved. The transient simulation results further prove the control response is fast and the accuracy of the relative position meets the demand of the gravity measurement.     

基于RBF神经网络的导弹鲁棒动态逆控制

讨论了一种基于神经网络的导弹鲁棒动态逆控制方法。导弹的基本控制律采用动态逆方设计,针对存在动态逆误差的慢回路设计神经网络鲁棒逆控制器。用RBF神经网络逼近导弹慢模态数学模型,并把逼近误差引入到网络权值的调节律以改善系统的动态性能;鲁棒控制器用于减弱模型不确定性及神经网络的逼近误差对跟踪精度的影响。所设计的控制器不仅保证了闭环系统的稳定性,而且使模型不确定性及神经网络的逼近误差对跟踪精度的影响减小到给定的性能指标。最后通过仿真分析,验证了该方法的有效性。
     

近距离航天器相对轨道的鲁棒自适应控制

针对近距离航天器的相对轨道提出了一种鲁棒自适应控制律。在追踪星本体坐标系中考虑航天器的相对运动。首先,在转动惯量未知的情形下提出了自适应控制律,保证系统的全局渐近稳定性。其次,将两星地心引力加速度之差作为干扰加速度,并假设干扰有未知上界,对自适应控制律进行修正,提出了鲁棒自适应律,使得系统是全局一致最终有界稳定的。控制律的设计不需要绝对轨道信息,适用于任意轨道。对航天器编队飞行和空间交会两种情形分别进行了仿真分析,结果表明所设计的控制律是合理有效的。     

A global solution for robust parameter design of aeronautical electrical apparatus based on interactions analysis and polynomial fitting

Robust Parameter Design (RPD) has been widely applied for improving quality and reliability of products. One of the key drawbacks of applying RPD using Taguchi method is that the stable factors may not be independent of the adjustment factors, resulting in unsatisfactory design. Moreover, the Taguchi method cannot guarantee global optimality since the levels set in the experiment are usually discrete to ensure orthogonal design. In this paper, robust solutions of the stable factors are obtained via a nonlinear model based on polynomial fitting; while the adjustment factors are obtained via interactions analysis so that they are independent of the stable factors. In particular, the values of the adjustment factors are determined by output offset compensation so as to achieve robustness of the design scheme. An example on the design of an aeronautical electrical apparatus is presented to illustrate the procedure. The results show that the proposed method can take full advantage of the nonlinearity in the response and achieve the desired outcome.     

弹用涡喷发动机鲁棒性能μ综合控制

针对某型弹用涡喷发动机，分析了具有乘性输入不确定性的被控对象中嵌入加权函数的μ鲁棒性能问题，由具有N-△结构的μ综合框架，给出了控制系统获得鲁棒性能的D-K迭代法，设计了弹用涡喷发动机鲁棒μ控制器。仿真结果表明设计的控制器在全飞行包线内不同的弹道上取得了鲁棒性能。     

图形变形法在固体火箭发动机设计优化中的应用

采用图形变形法分析了固体火箭发动机设计优化模型中各设计变量对目标函数和约束的影响程度，探索了可行设计空间，通过显示优化结果点附近设计空间形态定性分析了优化结果鲁棒性。结果表明，图形变形法处理固体火箭发动机设计优化多变量分析及显示问题简单、直观，易于工程应用。     

抗差自适应分步滤波算法在PPP/INS组合导航中的应用

针对常规抗差自适应滤波算法在PPP/INS组合导航应用中存在难以准确识别和分离观测粗差及运动异常对定位结果影响的问题，基于分类因子自适应滤波原理,提出了一种抗差自适应分步滤波算法。该算法首先执行第一步滤波,对状态模型异常信息进行隔离，仅对观测粗差进行诊断和抗差处理；然后在第一步滤波的基础上，执行第二步滤波，对状态模型异常进行诊断和自适应处理。算法分析表明，抗差自适应分步滤波算法可以准确地识别和分离观测粗差和运动异常扰动。实验结果表明，抗差自适应分步滤波算法能够进一步增强滤波算法抵抗观测粗差和运动异常扰动对滤波结果的影响，提高PPP/INS组合导航系统定位结果的稳定性和可靠性。     

基于新息异常检测的改进抗差自适应卡尔曼滤波算法

在工程应用中,量测异常及量测噪声统计特性的时变是引起标准卡尔曼滤波振荡甚至发散的主要原因。经典抗差Sage-Husa自适应滤波方案,对量测中的孤立型异常有所抵抗,并可在线估计量测噪声统计特性改善滤波效果,但当连续型异常值出现时,其滤波效果不佳。针对现有抗差Sage-Husa自适应滤波方案的不足,提出了新的改进滤波方法。在改进算法中,当检测到量测异常时采用模值更大的先验预测方差阵代替原算法中的后验估计方差阵,在估计量测噪声方差时起到放大作用,以降低异常量测权重,提高滤波精度;采用IGG方案构造了新的权函数,可在抑制异常影响的同时调节估计方差阵,以免连续异常时新息持续置零引起的滤波发散;采用标准卡尔曼滤波新息辅助异常检测的双重检测策略,避免了因量测噪声方差阵的调节引起检测阈值变化而导致的漏检率增高。仿真实验表明,与常规抗差自适应滤波算法相比,该方案可更加有效地抑制量测异常值的影响。     

飞控系统数字鲁棒控制器双自由度设计及仿真

在深入研究Ｈ∞控制基础上，提出了离散系统一类扰动前馈问题，基于Ｈ∞全信息控制问题，给出并证明了控制器的参数化描述公式。在此基础上，提出了离散双自由度系统的Ｈ∞设计方法。在这一类问题中，相应标准离散Ｈ∞设计中的第二个离散代数Ｒｉｃｃａｔｉ方程不再需要求解。且系统即具有良好的性能又具有很好的鲁棒稳定性。以此方法对一飞控系统进行了详尽的设计和仿真，得到了非常满意的结果。