力矩输出能力最优化混合执行机构操纵律设计

当航天器执行高动态敏捷机动或者姿态动态跟踪控制等任务时，常使用控制力矩陀螺（control moment gyroscope，简称CMG）和飞轮（reaction wheel，简称RW）构成的混合执行机构来提供大力矩。提出了基于力矩输出能力最优化的混合执行机构操纵律，从几何角度出发，给出了力矩输出能力最优的CMG框架角速度和RW角加速度，通过引入参数，并讨论参数的设置的最优，使得框架转速误差和输出力矩误差的混合二次型达到最小，保证了混合执行机构在输出力矩误差最小的情况下，力矩输出能力最优。以金字塔构型的CMG集群和正交的RW集群构成的混合执行机构为例，对基于力矩输出能力最优化的混合执行机构操纵律进行合理化分析，证明了引入参数的作用，并且证明了混合执行机构不存在CMG奇异情况。仿真结果表明，基于力矩输出能力最优化的混合执行机构操纵律解决了CMG奇异的问题并使得RW不陷入饱和，输出力矩误差较小，输出力矩能力强，能够应用于航天器大角度机动任务。     

Vector deflection stability control of aero-engine based on linear active disturbance rejection

Aimed at the problem of instability in engine control caused by vector deflection in experiment of turbofan engines with Axisymmetric Vectoring Exhaust Nozzle (AVEN), a vector deflection stability control method of aero-engine based on Linear Active Disturbance Rejection Control (LADRC) is proposed. Firstly, based on CFD numerical simulation, aerodynamic performance model of AVEN is established, and the aerodynamic load change rule of the nozzle throat area actuator during vector deflection is revealed. Subsequently, the integrated model of AVEN/turbofan engine is established by Simulink/AMESim co-simulation. Finally, the nozzle throat area control loop based on LADRC is designed. The simulation results show that the integrated model can reflect the influence of vector deflection on the stability of the control system. The accuracy comparison between the fan rotor speed and the test data during vector deflection is larger than 1%, indicating a high degree of confidence. Compared with the conventional PID control, the designed LADRC control loop reduces the speed of the low-pressure rotor during vector deflection by 70%, which effectively improves the control stability of the vector deflection. Meanwhile, the fuel flow ratechange during the vector deflection process is smaller and more economical, which provides an important reference for engineering applications.     

扰动线运动对惯性系粗对准影响分析及优化方法

针对扰动线运动对惯性系粗对准精度影响较大的问题，通过分析惯性体坐标系下重力加速度积分矢量的物理含义，给出了受扰动线运动影响的惯性系粗对准的误差分析。并在此基础上提出了基于位移积分矢量构造定姿矢量矩阵的抗扰动粗对准算法，利用对速度积分矢量进一步积分得到的3个时间点的位移积分矢量构建姿态解算矩阵，抑制扰动线运动对粗对准精度的影响。仿真结果表明，该算法可有效减小扰动线运动影响下的对准结果振动幅值，能够快速收敛到满足精对准使用的精度范围，从而提高武器装备环境适应性。     

基于自抗扰的无人机俯仰姿态控制

针对无人机俯仰姿态控制回路在模型参数和复杂外界环境等不确定性干扰影响下鲁棒性差、系统响应速度慢的问题,采用工程上易实现的自抗扰控制(ADRC)方法设计了俯仰姿态控制器,通过构造线性扩张状态观测器(LESO)估计不确定性干扰,并在控制回路中对干扰进行实时补偿.性能分析与仿真结果表明,基于ADRC的无人机俯仰姿态控制器具有良好的性能和干扰抑制能力,并且能够实现对控制指令的精确跟踪.