推进系统综合性能寻优控制研究

研究了包括进气道和发动机在内的推进系统综合控制。采用了序列线性规划方法进行系统寻优,利用推进系统矩阵进行多次线性规划来求解非线性优化问题。利用当前的实际机载计算机完成了硬件在回路仿真试验,仿真表明研究的性能寻优控制方法能够较大幅度的提高推进系统整体性能,控制软件完全满足实时计算要求。     

基于物理规划的固体火箭发动机不确定性优化设计

在基于建模与仿真的固体火箭发动机设计过程中客观存在许多不确定性,决策不确定性定义为设计与优化问题描述和决策过程中存在的模糊性。传统优化设计模型将优化设计问题作为确定性问题求解,可能会漏掉真正的工程实际可接受的最优结果。采用物理规划方法建立优化设计模型,可得到综合满足多个设计准则的Pareto解。以固体火箭发动机总体方案优化设计为例,证明了物理规划方法作为固体火箭发动机设计决策不确定性建模方法的有效性。     

基于VEE与Nport的控温仪状态参数远程监控系统设计

为了减轻试验人员劳动强度,避免人为操作失误导致的数据失真与控温风险,提高航天器真空热试验自动化水平,设计了基于VEE与Nport的控温仪状态参数远程监控系统。利用NPORT-5610将RS-232协议转换为TCP/IP协议,使控温仪成为具备网络接口的组网仪器,采用VEE可视化编程语言开发了系统软件,实现了计算机对控温仪状态参数的远程监控。该系统结构模型合理,软硬件设计可行,具有灵活的扩展性和伸缩性,曾在某型号航天器真空热试验中成功应用。     

高职《数控编程》课程教学改革探析

论述《数控编程》课程教学改革的几点建议:调整教学内容、改进教学方法、改革考试方法、加强实践教学。     

具有锥结构的二人半无限零和对策与DEA模型C^2WY

文中主要讨论DEA模型与对策模型之间的等价关系。提出了具有锥结构形式的二人半无限零和对策模型,并利用具有锥结构形式的半无限规划理论,证明了DEA综合模型C~2WY与相应的具有锥结构形式的二人半无限零和对策模型之间(弱)等价性。     

一种多进程实时控制系统的软件设计

本文提出了一种时间片预分割方案,并将其用于多进程实时控制系统的软件设计,其特点是程序设计简单、维护方便,尤其是提高了系统运行的可靠性。     

LISP跳棋程序与启发式搜索

本文叙述了在IBM-PC个人计算机上,研制成功的LISP跳棋智能程序中,如何成功地使用启发式搜索进行设计的方法,特别对作者自行设计的顺序递归搜索算法进行了分析和评价。     

洗衣机用水量的优化设计

本文对洗衣机运转过程中的用水量建立优化模型，目标函数为在达到一定洗涤效果的前提下的最小用水量。我们将此归结为利用Ｌａｇｒａｎｇｅ函数求非线性规划的最优解问题，并且给出了相应的理论证明。此外，结合实际具体数据为洗衣机设计了一组运行程序。最后讨论了模型的改进与推广，并且对模型的优缺点作出了分析。     

Hybrid partition- and network-level scheduling design for distributed integrated modular avionics systems

Distributed Integrated Modular Avionics (DIMA) develops from Integrated Modular Avionics (IMA) and realizes distributed integration of multiple sub-function areas. Time-triggered network provides effective support for time synchronization and information coordination in DIMA systems. However, inconsistency between processing resources and communication network destroys the time determinism benefiting from partitions and time-triggered mechanism. To ensure such time determinism and achieve guaranteed real-time performance, system design should collectively provide a global communication scheme for messages in network domain and a corresponding execution scheme for partitions in processing domain. This paper firstly establishes a general DIMA model which coordinates partitioned processing and time-triggered communication, and then proposes a hybrid scheduling algorithm using Mixed Integer Programming to produce feasible system schemes. Furthermore, incrementally integrating new functions causes upgrades or reconfigurations of DIMA systems and will generate integration cost. To control such cost, this paper further develops an optimization algorithm based on Maximum Satisfiability Problem and guarantees that the scheduling design for upgraded DIMA systems inherit their original schemes as much as possible. Finally, two typical cases, including a simple fully connected DIMA system case and an industrial DIMA system case, are constructed to illustrate our DIMA model and validate the effectiveness of our hybrid scheduling algorithms.     

Obstacle avoidance handling and mixed integer predictive control for space robots

This paper presents a novel obstacle avoidance constraint and a mixed integer predictive control (MIPC) method for space robots avoiding obstacles and satisfying physical limits during performing tasks. Firstly, a novel kind of obstacle avoidance constraint of space robots, which needs the assumption that the manipulator links and the obstacles can be represented by convex bodies, is proposed by limiting the relative velocity between two closest points which are on the manipulator and the obstacle, respectively. Furthermore, the logical variables are introduced into the obstacle avoidance constraint, which have realized the constraint form is automatically changed to satisfy different obstacle avoidance requirements in different distance intervals between the space robot and the obstacle. Afterwards, the obstacle avoidance constraint and other system physical limits, such as joint angle ranges, the amplitude boundaries of joint velocities and joint torques, are described as inequality constraints of a quadratic programming (QP) problem by using the model predictive control (MPC) method. To guarantee the feasibility of the obtained multi-constraint QP problem, the constraints are treated as soft constraints and assigned levels of priority based on the propositional logic theory, which can realize that the constraints with lower priorities are always firstly violated to recover the feasibility of the QP problem. Since the logical variables have been introduced, the optimization problem including obstacle avoidance and system physical limits as prioritized inequality constraints is termed as MIPC method of space robots, and its computational complexity as well as possible strategies for reducing calculation amount are analyzed. Simulations of the space robot unfolding its manipulator and tracking the end-effector’s desired trajectories with the existence of obstacles and physical limits are presented to demonstrate the effectiveness of the proposed obstacle avoidance strategy and MIPC control method of space robots.