Adaptive sliding mode control of modular self-reconfigurable spacecraft with time-delay estimation

The reconstruction control of modular self-reconfigurable spacecraft (MSRS) is addressed using an adaptive sliding mode control (ASMC) scheme based on time-delay estimation (TDE) technology. In contrast to the ground, the base of the MSRS is floating when assembled in orbit, resulting in a strong dynamic coupling effect. A TED-based ASMC technique with exponential reaching law is designed to achieve high-precision coordinated control between the spacecraft base and the robotic arm. TDE technology is used by the controller to compensate for coupling terms and uncertainties, while ASMC can augment and improve TDE’s robustness. To suppress TDE errors and eliminate chattering, a new adaptive law is created to modify gain parameters online, ensuring quick dynamic response and high tracking accuracy. The Lyapunov approach shows that the tracking errors are uniformly ultimately bounded (UUB). Finally, the on-orbit assembly process of MSRS is simulated to validate the efficacy of the proposed control scheme. The simulation results show that the proposed control method can accurately complete the target module’s on-orbit assembly, with minimal perturbations to the spacecraft’s attitude. Meanwhile, it has a high level of robustness and can effectively eliminate chattering.     

基于GA的模糊PID控制在质量矩导弹系统上的应用

针对三轴稳定的质量矩导弹姿态控制系统,提出了一种基于遗传算法进行参数寻优的模糊PID控制方法。在建立姿控系统数学模型的基础上,首先设计了姿态控制的优先级函数,然后根据实际的姿态控制系统,设计了遗传算法的性能指标函数和具体的优化策略,最后给出了模糊PID控制器的设计思路。仿真结果说明了该方法的有效性。     

摆动喷管控制精度相关问题讨论

对不同性质的喷管特点以及在控制力作用下喷管的响应特性进行了初步分析;以某防空导弹为例,阐述了摆动喷管在非理想状态下摆动时作动器牵连运动、正负摆角不对称、力臂变化、摆心漂移、位移传递系数精度和预调角对摆角控制的影响;同时说明了负载力矩和伺服机构相关参数影响着摆动喷管位置控制精度。     

近程简易控制火箭末修的效率分析

阐述了脉冲控制力实施简易控制的特点,针对某近程单兵火箭建立了其弹道模型,在弹体周向布置两种大小不同的脉冲发动机,采用两种脉冲延时分级控制的控制策略对其实施简易控制,对其控制时刻、转速影响、分档设计等进行了分析证明对该单兵火箭实施简易控制是可行的.     

Optimizing the quality control station configuration

We study unreliable serial production lines with known failure probabilities for each operation. Such a production line consists of a series of stations, existing machines, and optional quality control stations (QCSs). Our aim is to decide on the allocation of the QCSs within the assembly line, so as to maximize the expected profit of the system. In such a problem, the designer has to determine the QCS configuration and the production rate simultaneously. The profit maximization problem is approximated assuming exponentially distributed processing times, Poisson arrival process of jobs into the system, and the existing of holding costs. The novel feature of our model is the incorporation of holding costs that significantly complicated the problem. Our approximation approach uses a branch and bound strategy that employs our fast dynamic programming algorithm for minimizing the expected operational costs for a given production rate as a subroutine. Extensive numerical experiments are conducted to demonstrate the efficiency of the branch and bound procedure for solving large scale instances of the problem and for obtaining some qualitative insights.

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