基于间接伴随法的大气层内高超声速飞行器最优上升轨迹研究

利用修正的无量纲因子,建立了适用于大气层内高速飞行器数值优化的数学模型。创新地采用欧氏空间中超立方体顶点坐标作为协状态初始值的方法解决了伴随方法的初始值估计难题,实现了间接伴随法在最优轨迹优化中的应用。完成并给出了该方法在真空状态和有空气动力存在的情况下轨迹优化结果,并在控制约束存在的前提下,对上升段轨线进行重规划,仿真结果表明,该方法快速、有效,且具有在线制导的应用潜力。     

Variable Structure Control of Catastrophic Course in Airdropping Heavy Cargo

The mathematical model of a transport aircraft would be subjected to a sudden change when heavy cargo is dropped off in airdropping, which exerts serious influences upon the safety of the aircraft. A variable structure controller is specially designed for handling the airdrop process. The nonlinear system is linearized by input-output feedback linearization using differential geometry theories. On this basis, an inner loop system for velocity and attitude tracking control is designed by using the exponentially approaching rule of the variable structure theory. The whole flight control system is integrated with the outer loop flight altitude control. Digital simulation evidences the applicability of the system to potentially catastrophic course in airdropping heavy cargo and provides robustness against system parameter perturbation.     

气体减压阀的稳定性分析

针对逆向卸荷式气体减压阀,采用线性化分析方法,对其工作稳定性进行分析．得到了主要参数对减压阀稳定性的影响规律。研究结果表明阻尼和低压腔体积是影响减压阀稳定性的主要因素,并给出了提高减压阀稳定性设计的主要措施。     

基于支持向量机的航空发动机PID解耦控制

针对航空发动机多变量控制系统中各回路之间存在的耦合现象,提出了一种基于支持向量机(support vector machines,SVM)的航空发动机PID(proportion integration differentiation)解耦控制方法.利用SVM辨识发动机非线性模型,并获得SVM瞬时线性化模型,在线性化模型的基础上完成了PID参数的在线自整定.利用Lyapunov稳定性定理对控制器的收敛性进行了分析.通过对某型航空发动机的仿真,验证了该方法的有效性和可行性.      

三维机翼亚临界定常流的局部线性化有限元法

本文使用了两种类型等参元,通过变分法,计算了三维机翼亚临界定常位势流中的压力分布,计算结果与试验结果符合较好。文中还使用了有限元法中的局部线性化理论,插值出元素中心点密度去处理迭代过程中元素系数阵的计算,其结果与通常的有限元计算相吻合,但计算时间却明显减少了。文中还对有限元法局部线性化理论和局部线性化有限元法做了阐述。     

一种非线性末制导系统模型的精确线性化

针对未来高机动目标的拦截 ,运用非线性系统几何理论中的精确线性化方法 ,设计了一种空空导弹非线性末制导系统加速度指令。假设目标做逃逸机动 ,弹体 -自动驾驶仪响应用一个二阶环节描述 ,建立了导弹目标三维相对运动方程。根据终端约束直接选取系统输出阵 ,经动态反馈线性化 ,将非线性系统模型转化为线性方程 ,求得了目标任意机动时的非线性末制导系统的加速度指令。以纵向平面为例进行了仿真计算 ,结果表明该方法是行之有效的 ,得到的解可以用来改进导弹大离轴发射角时的进攻能力。     

三容实验系统的变结构PID控制

基于非线性系统的反馈线性化,介绍了一种变结构PID控制方法．该方法能够有效地改善有控制量约束系统的控制性能．以某试验系统为被控对象,在对其进行反馈线性化同时实现静态解耦的基础上,给出了变结构PID控制的实验结果,并与常规PID控制进行了比较．结果表明了变结构PID控制的优越性．     

Adaptive neural network control of nonlinear systems with unknown dynamics

In this study, an adaptive neural network control approach is proposed to achieve accurate and robust control of nonlinear systems with unknown dynamics, wherein the neural network is innovatively used to learn the inverse problem of system dynamics with guaranteed convergence. This study focuses on the following three contributions. First, the considered system is transformed into a multi-integrator system using an input–output linearization technique, and an extended state observation technique is used to identify the transformed states. Second, an iterative control learning algorithm is proposed to achieve the neural network training, and stability analysis is given to prove that the network’s predictions converge to ideal control inputs with guaranteed convergence. Third, an adaptive neural network controller is developed by combining the trained network and a proportional-integral controller, and the long-standing challenge of model-based methods for control determination of unknown dynamics is resolved. Simulation results of a virtual control mission and an aerospace altitude tracking mission are provided to substantiate the effectiveness of the proposed techniques and illustrate the adaptability and robustness of the proposed controller.     

Modeling and control of a novel electro-hydrostatic actuator with adaptive pump displacement

The variable pump displacement and variable motor speed electro-hydrostatic actuator (EHA), one of the three types of EHAs, has advantages such as short response time, flexible speed regulation, and high efficiency. However, the nonlinearity of its double-input single-output system poses a great challenge for system control. This study proposes a novel EHA with adaptive pump displacement and variable motor speed (EHA-APVM). A closed-loop position is realized using a servomotor. Moreover, the displacement varies with the system pressure; thus, the EHA-APVM is a single-input and single-output system. Firstly, the working principles of the EHA-APVM and the pump used in the system are introduced. Secondly, a nonlinear mathematical model of the proposed EHA-APVM control system is established, and a feedback back-stepping (FBBS) control algorithm is introduced to transform the complex nonlinear system into a linear system on the basis of the back-stepping control theory. Finally, simulation results prove that the EHA-APVM has a quick response and high robustness to variations of the load and the pump displacement. In this work, the size and weight of the motor are significantly reduced because the maximum power requirement is reduced, which is very beneficial for using the actuator in airborne equipment.     

氨—空气混合物高浓度气体吸收中的数据回归

本文论述了回归分析在数据处理中的应用，通过氨－空气混合物高浓度气体吸收中的数据处理这一实例，介绍如何将非线性问题转化为线性问题的处理过程，给出建立经验公式为检验所建公式可用性的方法。