基于动态逆-PID的高超声速飞行器巡航姿态控制

以某型高超声速飞行器为研究对象,针对巡航状态下气动参数不确定的姿态控制问题,提出了一种结合非线性动态逆控制与PID控制的姿态控制方法。首先,对高超声速飞行器非线性模型进行精确反馈线性化,得到了飞行器纵向姿态仿射非线性方程;接着,为速率变化快慢不同的迎角和俯仰角速率分别设计了动态逆控制律以抵消对象的非线性特性;然后,在动态逆控制的基础上,采用工程上易于实现的PID控制补偿由于未精确建模带来的系统逆误差,实现了迎角对指令信号的有效跟踪;最后,进行了数值仿真验证。结果表明,所设计的高超声速飞行器动态逆-PID姿态控制器具有良好的跟踪性能和鲁棒性能。     

某型飞机告警系统故障分析与排除

某型飞机出现一起告警系统故障,故障现象复杂,本文通过对该故障的故障现象、排除过程和机理进行分析、阐述,为类似故障的排除提供思路和参考。     

无人机非线性动态逆控制器的设计研究

针对现代无人机上采用非线性飞行控制的趋势,概述了动态逆方法的发展、特点及应用。结合无人机飞行控制特点,基于奇异摄动原理,将无人机非线性运动方程分解为快慢不同的3个模态,采用动态逆方法设计了无人机非线性状态逆控制器,仿真结果表明,动态逆控制器能够较好地实现对无人机的跟踪控制。     

The effect of collisions in ionogram inversion

The results of this paper demonstrate that the effect of collisions on the group refraction index is small, when the ordinary ray is considered. If, however, in order to improve the performance of a system for automatic interpretation of ionograms, the information contained in ordinary and extraordinary traces is combined, the effect of collisions between the electrons and neutral molecules should be taken into account for the extraordinary ray. The magnitude of these differences is generally very small and must be compared with the resolution in the virtual vertical height of the ionosonde, resolution which is typically of the order of few kilometers.     

三轴式无人旋翼飞行器及自适应飞行控制系统设计

设计了一种操控简便的三轴式无人旋翼飞行器,由三组共轴双旋翼组成,各旋翼由直流电机直接驱动,只需调节各电机转速就能控制旋翼飞行器运动姿态和轨迹。为使三轴式无人旋翼飞行器飞行控制系统设计得到有效验证,研究了旋翼飞行器的飞行动力学非线性建模,运用叶素动量理论建立了共轴双旋翼变转速旋翼载荷计算方法,分析了旋翼入流分布对共轴双旋翼气动载荷模型的影响,通过试验验证了共轴双旋翼气动载荷计算模型的正确性。由于旋翼飞行器飞行动力学模型的非线性及未建模动力学的影响,难于建立非常精确的数学模型,给飞行控制系统设计带来了挑战。本文根据旋翼飞行器飞行动力学非线性模型推导出了旋转动力学模型逆和平移动力学模型逆控制器,利用神经网络在线自适应修正模型逆误差,采用线性PD或PI控制器调节指令跟踪误差,应用由向心回转和垂直上升组合的机动科目进行了仿真验证,给出了具有外界阵风干扰模拟的仿真结果,表明所设计的飞行控制系统具有自适应性和鲁棒性,能实现精确的轨迹跟踪控制。     

Docking control for probe-drogue refueling: An additive-state-decomposition-based output feedback iterative learning control method

Designing a controller for the docking maneuver in Probe-Drogue Refueling (PDR) is an important but challenging task, due to the complex system model and the high precision requirement. In order to overcome the disadvantage of only feedback control, a feedforward control scheme known as Iterative Learning Control (ILC) is adopted in this paper. First, Additive State Decomposition (ASD) is used to address the tight coupling of input saturation, nonlinearity and the property of NonMinimum Phase (NMP) by separating these features into two subsystems (a primary system and a secondary system). After system decomposition, an adjoint-type ILC is applied to the Linear Time-Invariant (LTI) primary system with NMP to achieve entire output trajectory tracking, whereas state feedback is used to stabilize the secondary system with input saturation. The two controllers designed for the two subsystems can be combined to achieve the original control goal of the PDR system. Furthermore, to compensate for the receiver-independent uncertainties, a correction action is proposed by using the terminal docking error, which can lead to a smaller docking error at the docking moment. Simulation tests have been carried out to demonstrate the performance of the proposed control method, which has some advantages over the traditional derivative-type ILC and adjoint-type ILC in the docking control of PDR.     

NONLINEAR DYNAMIC INVERSION CONTROL WITH ADAPTIVE COMPENSATION FOR FLIGHT CONTROL SYSTEM

ＮＯＮＬＩＮＥＡＲＤＹＮＡＭＩＣＩＮＶＥＲＳＩＯＮＣＯＮＴＲＯＬＷＩＴＨＡＤＡＰＴＩＶＥＣＯＭＰＥＮＳＡＴＩＯＮＦＯＲＦＬＩＧＨＴＣＯＮＴＲＯＬＳＹＳＴＥＭＸｕＪｕｎ，ＺｈａｎｇＭｉｎｇｌｉａｎ，ＬｉＹｏｕｌｉａｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＡｕｔｏ...     

无人机神经网络动态逆控制器设计研究

针对无人机动态逆控制器存在的明显缺陷,采用在线神经网络对逆误差进行补偿,设计了神经网络动态逆控制器.构造了一种单隐层神经网络结构,证明了整个闭环系统的稳定性,给出了稳定的在线神经网络权值调整算法.通过仿真验证了该方案的鲁棒性、对故障的适应性以及在作动器纯延时下的响应性能,证明了在线神经网络对动态逆控制器具有明显的改善作用.对于无人机先进飞行控制系统的设计研究具有重要的参考价值.     

动力学反演的迭代过程及应用

把结构动力学反演归结为一类广义特征值反问题 ,提出了一种迭代算法 ,并讨论了解的存在条件。大量数值实验结果表明 ,本文迭代过程收敛性好。结合某型直升机旋翼桨叶的动力学设计 ,文中给出了工程应用的数值例子 ,结果令人满意。     

敏捷性导弹的双网络逆动态模糊神经网络控制

新疆敏捷性导弹为了获得更高的机动性、敏捷性和好的导引精度，许多采用推力矢量控制方案，本文讨论了一类带推力矢量控制导弹的数学建模，在此基础上提出了一种适用于此类新型导弹的模糊神经网络控制方案，采用双网络逆动态学控制结构，数字仿真表明所提出的控制方案对于系统内参数不确定性和非线性变化具有强的适应性。