A method for aircraft magnetic interference compensation based on small signal model and LMS algorithm

Aeromagnetic interference could not be compensated effectively if the precision of parameters which are solved by the aircraft magnetic field model is low. In order to improve the compensation effect under this condition, a method based on small signal model and least mean square（LMS） algorithm is proposed. According to the method, the initial values of adaptive filter＇s weight vector are calculated with the solved model parameters through small signal model at first,then the small amount of direction cosine and its derivative are set as the input of the filter, and the small amount of the interference is set as the filter＇s expected vector. After that, the aircraft magnetic interference is compensated by LMS algorithm. Finally, the method is verified by simulation and experiment. The result shows that the compensation effect can be improved obviously by the LMS algorithm when original solved parameters have low precision. The method can further improve the compensation effect even if the solved parameters have high precision.     

Adaptive block dynamic surface control for integrated missile guidance and autopilot

A novel integrated guidance and autopilot design method is proposed for homing missiles based on the adaptive block dynamic surface control approach. The fully integrated guidance and autopilot model is established by combining the nonlinear missile dynamics with the nonlinear dynamics describing the pursuit situation of a missile and a target in the three-dimensional space. The integrated guidance and autopilot design problem is further converted to a state regulation problem of a time-varying nonlinear system with matched and unmatched uncertainties. A new and simple adaptive block dynamic surface control algorithm is proposed to address such a state regulation problem. The stability of the closed-loop system is proven based on the Lyapunov theory. The six degrees of freedom (6DOF) nonlinear numerical simulation results show that the proposed integrated guidance and autopilot algorithm can ensure the accuracy of target interception and the robust stability of the closed-loop system with respect to the uncertainties in the missile dynamics.     

A novel intelligent adaptive control of laser-based ground thermal test

Laser heating technology is a type of potential and attractive space heat flux simulation technology, which is characterized by high heating rate, controlled spatial intensity distribution and rapid response. However, the controlled plant is nonlinear, time-varying and uncertainty when implementing the laser-based heat flux simulation. In this paper, a novel intelligent adaptive controller based on proportion–integration–differentiation(PID) type fuzzy logic is proposed to improve the performance of laser-based ground thermal test. The temperature range of thermal cycles is more than 200 K in many instances. In order to improve the adaptability of controller,output scaling factors are real time adjusted while the thermal test is underway. The initial values of scaling factors are optimized using a stochastic hybrid particle swarm optimization(H-PSO)algorithm. A validating system has been established in the laboratory. The performance of the proposed controller is evaluated through extensive experiments under different operating conditions(reference and load disturbance). The results show that the proposed adaptive controller performs remarkably better compared to the conventional PID(PID) controller and the conventional PID type fuzzy(F-PID) controller considering performance indicators of overshoot, settling time and steady state error for laser-based ground thermal test. It is a reliable tool for effective temperature control of laser-based ground thermal test.     

一种航空噪声背景下的语音增强方法

依据航空噪声的频谱特性,提出将自适应滤波算法与改进的谱减法相级联的方法来增强语音。在强航空噪声背景下,处理后的语音不仅信噪比得到了很大提高,而且在有效抑制背景噪声和音乐噪声的同时,其清晰度和可懂度也得到了很大的改善。     

新型浮动式收敛袋型密封动力特性与自适应同心性能数值研究

提出新型浮动式收敛袋型密封结构,建立新型收敛袋型密封与传统迷宫密封多频椭圆涡动动力特性求解模型,研究转速、进出口压比及偏心率对新型收敛袋型密封与传统迷宫密封浮动同心力的影响,对比分析涡动频率对新型收敛袋型密封与传统迷宫密封动力特性系数的影响,基于有效刚度系数定量分析浮动密封的自适应同心性能.研究结果表明:随着转速、进出...     

自适应多点悬挂重力补偿系统研究

大型桁架式可展开航天结构在地面试验时,存在大挠度变形、精度低、泛用性差等结构特点,为提高地面试验有效性,提出了一种自适应多点悬挂重力补偿控制方法。首先,设计系统辨识算法和控制器算法,解决了多点耦合问题。其次,建立Simulink与Adams联合仿真平台,通过仿真分析选择算法参数,验证了算法的可行性。最后,以大型桁架式航天天线为对象,搭建重力补偿系统实验平台并进行实验验证。实验结果表明:控制系统在稳态环境和动态环境下均能快速收敛。稳态环境下,平均稳态误差为0.5503%;动态环境下,平均稳态误差0.526%。完成了航天结构天线的重力补偿,为多点重力补偿系统方案的实施提供建议和改进措施。     

BOC信号自适应门限判决捕获方法

BOC信号是一种分离频谱的调制方式,与传统的导航扩频信号相比,具有更强的抗干扰能力和更高的测量精度。但BOC信号自相关函数具有多峰值的特点,如何从接收端找出最大峰值并正确恢复BOC信号是技术难点。本文给出了一种BOC信号的捕获方案和具体的实现算法。     

在SKA设计中实现干扰零点形成的方法

在SKA(平方千米阵列)的设计中,采用相控阵技术的一个原因是想利用其自适应零点形成技术来抵抗频率干扰。介绍了一种在该类系统中适用的自适应算法PASTd,该方法利用子空间跟踪技术区分子空间,然后据此在干扰方向形成深的零点。在一小型相控阵中的仿真结果表明该方法简单、收敛快且比较精确。     

Model-free adaptive optimal design for trajectory tracking control of rocket-powered vehicle

An adaptive optimal trajectory tracking controller is presented for the Solid-RocketPowered Vehicle(SRPV) with uncertain nonlinear non-affine dynamics in the framework of adaptive dynamic programming. First, considering that the ascent model of the SRPV is non-affine, a model-free Single Network Adaptive Critic(SNAC) method is developed based on the dynamic neural network and the traditional SNAC method. This developed model-free SNAC method overcomes the limitation of the traditional SNAC metho...     

Effective control allocation using hierarchical multi-objective optimization for multi-phase flight

For different flight phases in an overall flight mission, different control and allocation preferences should be pursued considering lift, drag or maneuverability characteristics. The multi-objective flight control allocation problem for a multi-phase flight mission is studied. For an overall flight mission, different flight phases namely climbing, cruise, maneuver and gliding phases are defined. Firstly, a multi-objective control allocation problem considering drag, lift or control energy prefe...