Active vibration suppression for flexible satellites using a novel component synthesis method

This paper is devoted to developing a closed-loop vibration suppression controller for a satellite with large flexible appendages based on component synthesis vibration suppression (CSVS) method. The dynamics model of a flexible satellite is firstly established by using the Newton–Euler methodology, and the dynamics model of the flywheel is also developed. A novel CSVS method is presented based on zero-vibration differentiator (ZVD), which can guarantee multi-order vibration suppression. Combined with the proposed CSVS method, traditional closed-loop controllers such as PD or sliding mode controllers can be applied to active vibration suppression. The stability of the proposed closed-loop CSVS controller is proved by the Lyapunov theory. Subsequently, the dynamic optimal control allocation algorithm is proposed for six flywheels, and a novel nonsingular fast terminal sliding mode controller is developed to obtain practical voltage control input for the flywheel drive control system. Finally, numerical simulations are carried out to validate the effectiveness of the proposed method.     

基于改进多目标布谷鸟搜索算法的翼型气动优化设计

布谷鸟搜索（CS）算法是一种新型的受自然现象启发的元启发式智能优化算法，其强大的全局搜索能力和收敛速度受到了广泛关注。多目标布谷鸟搜索（MOCS）算法是一种在单目标布谷鸟算法基础上发展的可以直接求解Pareto解集的多目标优化算法。针对原始MOCS算法的不足，采用一系列措施以提高算法的收敛精度、收敛速度以及解的均匀性：通过引入非支配排序与拥挤距离来改进解的适应度评估；通过改进随机游走策略来提高局部搜索能力；通过引入改进的自适应丢弃概率策略来提高算法的收敛速度；加入档案管理机制，提高解的均匀性。典型的多目标数值算例结果表明，改进的MOCS算法相较于当前主流的NSGA-Ⅱ算法拥有更快的收敛速度和更高的收敛精度。以RAE2822双目标升阻比优化设计为例，将改进的MOCS算法应用于多目标气动优化中，改进的MOCS算法共获得64个Pareto解，优化后的翼型气动性能有明显的提升，设计者可以根据自己的偏好选取不同的Pareto解。对于气动优化问题，改进的MOCS算法与目前主流的NSGA-Ⅱ相比，收敛速度更快。     

Fractional order modeling and control of dissimilar redundant actuating system used in large passenger aircraft

In this paper, a methodology has been developed to address the issue of force fighting and to achieve precise position tracking of control surface driven by two dissimilar actuators. The nonlinear dynamics of both actuators are first approximated as fractional order models. Based on the identified models, three fractional order controllers are proposed for the whole system. Two Fractional Order PID (FOPID) controllers are dedicated to improving transient response and are designed in a position feedback configuration. In order to synchronize the actuator dynamics, a third fractional order PI controller is designed, which feeds the force compensation signal in position feedback loop of both actuators. Nelder-Mead (N-M) optimization technique is employed in order to optimally tune controller parameters based on the proposed performance criteria. To test the proposed controllers according to real flight condition, an external disturbance of higher amplitude that acts as airload is applied directly on the control surface. In addition, a disturbance signal function of system states is applied to check the robustness of proposed controller. Simulation results on nonlinear system model validated the performance of the proposed scheme as compared to optimal PID and high gain PID controllers.     

分数阶Hopfield型神经网络的全局渐近稳定性

研究了分数阶Hopfield型神经网络的全局渐近稳定性,通过LMI方法得到了一种实现系统全局渐近稳定性的LMI形式条件,通过实例仿真验证了结论的正确性。     

基于梯度下降法的翼伞系统最优分段航迹规划

传统最优控制航迹规划一般以逆风精确着陆、控制能量小为优化目标，但传统最优控制的操纵过程一般是一条连续变化的曲线，工程上不易实施；与之相比，传统分段航迹规划操纵简单，工程上容易实施，能实现逆风精确着陆的目标，但控制能耗大。为了兼顾逆风精确着陆、能耗低和控制操作简单等目标，提出了一种基于梯度下降法的翼伞最优分段航迹规划方法。该方法将控制变量参数化，将逆风精确着陆、控制能耗小、能实现避障等多目标优化问题转化为加权单目标优化问题，并通过梯度下降法求解得到分段常值最优归航航迹。所提算法与基于伪谱法的最优控制规划航迹和基于遗传算法的分段规划航迹进行了对比，算法仿真结果表明本文提出的最优分段航迹规划法既可以实现着陆精度高、控制能量小、逆风着陆和避障的优化目标，同时规划的航迹又由分段常值实现控制，工程上容易实施，兼顾了最优控制航迹规划和分段航迹规划的优点。     

Optimal tracking and formation keeping near a general Keplerian orbit under nonlinear perturbations

This study presents a semi-analytic approach for optimal tracking and formation keeping with high precision. For a continuous-thrust propulsion system, optimal formation keeping problems near a general Keplerian orbit are formulated with respect to a reference trajectory which is an explicit function of time. A nonlinear optimal tracking control law is then derived in generic form as a function of the states by employing generating functions in the theory of Hamiltonian systems. The applicability of the overall process is not affected by the complexity of dynamics and the selection of coordinates. As it allows us to design a nonlinear optimal feedback controller in the Earth-centered inertial frame, a variety of nonlinear perturbations can be incorporated easily without complicated coordinate transformations. Numerical experiments demonstrate that the nonlinear tracking control logic achieves superior tracking accuracy and cost reduction by accommodating higher-order nonlinearities.     

基于傅里叶展开的电动力绳系卫星最优控制

电动力绳系卫星的推力幅值较小且方向固定,完成轨道机动任务的周期长,其最优控制问题的求解比较困难.采用在傅里叶空间描述的轨道动力学模型,将控制量电流表示为傅里叶级数的形式,并推导了用傅里叶系数作为参量的椭圆轨道运动的平均轨道根数方程.在此基础上构造了电动力绳系卫星轨道机动的最优控制模型,通过直接配置法将其转化为非线性规划...     

多输入多输出电磁矢量阵列雷达的DOD和DOA联合估计

研究一种基于电磁矢量传感器阵列的多输入多输出(MIMO)雷达目标波离角(DOD)和波达角(DOA)的联合估计算法.提出了一种新型MIMO雷达系统,发射阵列采用常规阵元,而接收阵列采用电磁矢量传感器,在此基础上,算法首先利用矢量传感器的内在结构特点结合子空间旋转不变性质获得目标DOA预估计,随后采用最佳加权子空间拟合算法...     

基于单叶双曲面的标准Stewart并联结构六维力传感器各向同性优化设计

基于Stewart并联结构六维力/力矩传感器在空间六维力的准确检测上具有广泛前景,设计低耦合、高精度、易于标定和使用的六维力/力矩传感器是其结构设计的关键问题.传统Stewart并联结构几何参数描述为6个相互耦合的变量,不利于实现设计参数与设计指标的解耦,而且非正交条件下的各向同性使得六维力/力矩传感器仍存在耦合,为此...     

基于曲线拟合的飞机方向舵偏角测量误差补偿

在对飞参记录系统的方向舵偏角通道进行标校的过程中,俯仰角变化和其它非线性误差都会影响电子罗盘的测量精度。本文研究了基于曲线拟合原理建立误差补偿公式的方法,以减小方向舵偏角通道的测量误差。实验证明,这种方法可以有效地提高电子罗盘的方向舵偏角测量精度。