一种自适应变结构制导律

为了使导弹制导系统具备良好的鲁棒性，本文提出用滑模变结构控制理论设计末端导引规律。结合时变系统的特点，本文提出并应用了滑模自适应趋近律这一概念。理论分析和数字仿真表明自适应变结构制导律具有优良的弹道性能和鲁棒性。另外，此制导律比较简单，便于应用。     

应用于仅有角度测量的寻的导弹制导的自适应修正增益推广Kalman滤波器

一种适用于一类特定的非线性系统全局收敛非线性滤波器被称作修正增益推广Ｋａｌｍａｎ滤波器（ＭＧＥＫＦ）。将ＭＧＥＫＦ与一种非线性时变观测噪声统计估值器相结合，导出一种自适应修正增益推广Ｋａｌｍａｎ滤波器（ＡＭＧＥＫＦ）。ＡＭＧＥＫＦ应用于三维仅有角度测量的寻的导弹制导，当测量噪声的方差不能精确已知时，不存在ＭＧＥＫＦ经常表现出的不稳定性，仿真结果表明ＡＭＧＥＫＦ是稳定的。而且与虚构的、对测量噪声方差精确已知的ＭＧＥＫＦ有几乎相同的估计效果。     

Automatic landing system using neural networks and radio-technical subsystems

The paper focuses on the design of a new automatic landing system(ALS) in longitudinal plane; the new ALS controls the aircraft trajectory and longitudinal velocity. Aircraft control is achieved by means of a proportional-integral(PI) controller and the instrumental landing system– the first phase of landing(the glide slope) and a proportional-integral-derivative(PID) controller together with a radio-altimeter – the second phase of landing(the flare); both controllers modify the reference model associated with aircraft pitch angle. The control of the pitch angle and longitudinal velocity is performed by a neural network adaptive control system, based on the dynamic inversion concept, having the following as components: a linear dynamic compensator, a linear observer, reference models, and a Pseudo control hedging(PCH) block. The theoretical results are software implemented and validated by complex numerical simulations; compared with other ALSs having the same radio-technical subsystems but with conventional or fuzzy controllers for the control of aircraft pitch angle and longitudinal velocity, the architecture designed in this paper is characterized by much smaller overshoots and stationary errors.     

Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm

The Ionospheric Total Electron Content is responsible for the group delay of the signals from the Navigation satellites. This delay causes ranging error, which in turn degrades the accuracy of position estimated by the receivers. For critical applications, single frequency receivers resort to Satellite Based Augmentation Systems in order to have improved accuracy and integrity. The performance of these systems in terms of accuracy can be improved if predictions of the delays are available simultaneously with real measurements. This paper attempts to predict the Total Electron Content using adaptive recurrent Neural Network at three different locations of India. These locations are selected at the magnetic equator, at the equatorial anomaly crest and outside the anomaly range, respectively. In-situ Learning Algorithm has been used for tracking the non-stationary nature of the variation. Prediction is done for different prediction intervals. It is observed that, for each case, the mean and root mean square values of prediction errors remain small enough for all practical applications. Analysis of Variance is also done on the results.     

改善空中飞行模拟性能的有效方法

利用参数自适应控制技术，提出了一种能够自适应补偿飞机参数变化的快速采样控制律。这种控制律可使用迭代技术在不需要特殊“试验”信号又能自动折算依据检测输入激励而获得的原有数据下，对所需要的阶跃响应阵进行了在线辨识，仿真结果表明，在空中飞行模拟中采用这种参数自适应控制技术，尽管飞机参数突基或缓慢变化，但通过本机参数变化的自适应补偿，仍可有效地保持其跟踪性能，尽管飞机参数突然或缓慢变化，但通过本机参数变化     

Adaptive sliding mode control for limit protection of aircraft engines

In practice, some sensors of aircraft engines naturally fail to obtain an acceptable measurement for control propose, which will severely degrade the system performance and even deactivate the limit protection function. This paper proposes an adaptive strategy for the limit protection task under unreliable measurement. With the help of a nominal system, an online estimator with gradient adaption law and low-pass filter is devised to evaluate output uncertainty. Based on the estimation result, a sliding mode controller is designed by defining a sliding surface and deriving a control law. Using Lyapunov theorem, the stability of the online estimator and the closed-loop system is detailedly proven. Simulations based on a reliable turbofan model are presented, which verify the stability and effectiveness of the proposed method. Simulation results show that the online estimator can operate against the measurement noise, and the sliding controller can keep relevant outputs within their limits despite slow-response sensors.     

基于灰度预测的无刷直流电机控制

针对传统PID控制器抗干扰能力差，参数调节繁琐等问题，提出了灰度预测控制器。对灰度预测算法进行了详细的理论分析和数学建模，利用最速梯度法对控制器参数进行调整，设计了参数自适应调整的控制器；对飞轮使用的无刷直流电机进行了较为准确的模型建立，并在此基础上设计了基于灰度预测控制器的电机控制仿真模型。通过仿真分析了两种控制器在正常加速和受到干扰两种情况下的不同表现，验证了灰度预测控制器在调节效果和稳定性等方面的优越性。     

OFDM系统采用自适应技术结合限幅降低PAPR的研究

针对OFDM系统峰均比PAPR（Peak—to-Average Power Ration）较大的问题，文章提出一种新的OFDM系统降低PAPR的方案，即自适应技术结合限幅Clipping。文章给出的计算机仿真结果表明，OFDM系统采用自适应技术结合Clipping进一步降低PAPR的同时又改善系统的BER性能，这就在降低PAPR和改善系统性能之间自动实现折衷。该方案实现起来简单且增加通信系统的智能化，故具有实用价值。     

高频激励下旋转柔性臂逆动力学模态自适应方法研究

在空间柔性机械臂的动力学与控制问题中,逆动力学求解常要求有较高的计算速度.当柔性多体系统受到高频激励时,必须考虑高阶模态才能保证足够的计算精度,但同时提高了计算自由度数,降低了计算速度.为了提高此类问题的计算效率,本文将模态自适应策略应用于旋转柔性臂逆动力学建模,计算了高频激励下产生期望旋转运动的柔性臂关节驱动力矩,验证了该方法的有效性,并研究了重力对计算结果的影响.      

人控交会对接控制方法研究

追踪器上的航天员根据摄像机的图像手动操作手柄完成目标器和追踪器的对接任务,为了减轻航天员负担,提高人控对接成功率,文章提出的思路是姿态控制采用自动控制,使得追踪器姿态和合作目标器姿态保持一致,航天员只负责相对位置控制。文章给出了航天员的相对位置控制策略,并将全系数自适应控制和PID控制方法用于追踪器的姿态控制。仿真结果表明,采用全系数自适应控制进行姿态控制过渡过程时间短、稳态精度高,有利于航天员完成人控对接的任务。