基于GSPN的飞机前轮转弯系统安全性评估

为解决在缺乏统计数据时无法对系统安全性进行评估的问题,提出将系统广义随机Petri网(GSPN,Generalized Stochastic Petri Nets)与经典评估相结合的方法.以某型尚处于设计阶段的飞机前轮转弯系统为研究对象,通过分析该系统结构功能图,建立出系统故障类型和影响分析(FMEA,Failure Modes and Effects Analysis)表;依照经典公式,求出系统各单元及其故障类型的故障率、维修度、平均无故障时间和平均维修时间等数据;将求得的数据与前轮转弯系统的GSPN模型相结合,利用TimeNET软件求得系统各故障类型的稳态失效概率;联立经验公式及危险度矩阵图对系统的安全性进行评估.经测评,该型飞机前轮转弯系统安全性符合设计要求.      

六轮摇臂式月球探测车协调驱动自适应模糊容错控制

为提高复杂和未知环境中六轮摇臂式月球探测车的驱动控制系统的可靠性,防止因执行器故障引起的月球车失控,提出一种基于滑转率的协调驱动自适应模糊容错控制方法。该方法用模糊逻辑系统逼近系统的未知动态和未知的故障函数,并通过所设计的误差补偿器来减少逼近误差对跟踪精度的影响。基于Lyapunov理论,证明了所设计的容错控制方案不但能使跟踪误差收敛到原点的小邻域内,而且通过适当增大设计参数的值,可使跟踪误差减小。此外,为便于应用给出了详细的容错控制器设计步骤,并对控制器中参数的选取给出了示例。仿真结果表明该控制律具有较高的控制精度,并且对外部干扰有很强的鲁棒性。

     

低轨对地凝视卫星姿态模糊控制器设计

设计了一种用于低轨道小卫星对地凝视姿控的模糊控制器。根据刚体动力学导出的基于欧拉角的运动学和动力学方程,设计了对地凝视小卫星的姿态模糊控制器。仿真结果表明:与传统控制方法相比,该控制器具快速性和鲁棒性。     

LEO卫星通信系统模糊逻辑动态位置区方案

文章在基于自主定位的动态位置区方案的基础上提出了模糊逻辑动态位置区方案,通过对用户在给定时间内运动模式的判定来动态改变用户的更新半径,并仿真比较了用户在不同初始更新半径下两种方案的更新和寻呼开销,以及用户在不同模糊逻辑统计时间下的更新和寻呼开销。仿真结果表明用户在该方案下的位置管理总开销相对于普通动态位置区有了明显的降低,提高了位置管理效率。     

Performability analysis of avionics system with multilayer HM/FM using stochastic Petri nets

The integrated modular avionics (IMA) architecture is an open standard in avionics industry, in which the number of functionalities implemented by software is greater than ever before. In the IMA architecture, the reliability of the avionics system is highly affected by the software applications. In order to enhance the fault tolerance feature with regard to software application failures, many industrial standards propose a layered health monitoring/fault management (HM/FM) scheme to periodically check the health status of software application processes and recover the malfunctioning software process whenever an error is located. In this paper, we make an analytical study of the HM/FM system for avionics application software. We use the stochastic Petri nets (SPN) to build a formal model of each component and present a method to combine the components together to form a complete system model with respect to three interlayer query strategies. We further investigate the effectiveness of these strategies in an illustrative system.     

跑道入侵防御灯光控制指令决策方法

为避免跑道入侵的发生,提出一种基于Petri网的灯光控制指令自动决策方法.首先根据跑道静态模型和运行过程,利用Petri网建立跑道区域受控运行模型,然后结合跑道管制规则给出线性不等式约束模型和优先等级约束模型.综合跑道运行约束模型、跑道当前标识信息和观测器信息,给出控制策略,确定受控运行模型中变迁的使能状态.在此基础上,提出基于变迁使能状态决策灯光控制指令的方法,最后通过算例证明决策方法的有效性.     

流量可调燃气发生器压力闭环模糊控制算法

为了改进流量可调燃气发生器的调节精度,引入燃气发生器压力闭环控制,针对流量可调燃气发生器压力闭环控制特点,在压力闭环中引入了模糊积分控制,此控制算法响应速度快,超调量较小,不同工况及长时间工作下系统仍然有较好的动态特性.     

客观多因素权重分配方法及其应用

综合模糊聚类技术和粗糙集理论中的信息熵原理,提出了一种多因素决策中确定各因素权重分配的新方法.利用模糊聚类分析对数据进行聚类,并提取最佳聚类;基于粗糙集中信息熵原理确定各因素的权重分配.算例结果表明:方法合理有效,具一定的可行性.     

Control of approach and landing phase for reentry vehicle using fuzzy logic

The reentry vehicle is affected by various disturbances such as a wind gust, atmospheric condition or aerodynamic problems in the approach and landing phase. Therefore it is necessary to design a robust control scheme. This paper presents a control scheme using Mamdani fuzzy PD controller. In this paper, the reference trajectories are generated using geometric parameters for disturbed circumstances with 4 cases: nominal, headwind and tailwind, drag increased case. Then, a Mamdani fuzzy PD controller was designed in this study. Twenty-five rules were applied in the knowledge-based system. The max–min method for a fuzzy inference system and the center-of-mass method in defuzzification were used. Finally, guidance and control simulations are performed for verification of proposed controller using generated reference trajectories. In addition, the Monte Carlo simulation is performed considering various disturbances. The results show that proposed Mamdani fuzzy PD controller has reliability and robustness for control of reentry vehicle with wind disturbance in the approach and landing phases.     

基于混合蚁群算法的柔性模糊车间作业调度

采用蚁群算法作为全局搜索算法,提出一种混合搜索策略,用于求解柔性模糊Job Shop调度问题.根据模糊Job Shop调度问题解的特性,提出基于