机械液压系统流量方程中流量系数的选取

在对机械液压系统建模和仿真的过程中,流量方程中流量系数的选取将直接影响到模型的精度.针对国内目前所采用的传统方法的缺点,本文研究了如何选取该参数的方法,总结了计算该参数的方法,并运用该方法进行了实例计算,计算结果表明:该方法能够较好的提高模型的精度.     

基于统计模型的海杂波建模和检测技术综述

根据海杂波模型的发展过程,按简单模型、复合模型和混合模型3种模型概述了海杂波建模和在此环境中的目标检测理论。最后,总结了海杂波建模的一些发展趋势。     

人体步态的动力学建模与仿真

把人体看作由13个刚体铰接所组成的多刚体系统,采用逆动力学方法建立起人体行走的动力学方程,以步态实验所得运动学数据为输入,计算出人体行走过程中各关节所受肌肉力矩、关节反作用力以及地面对人体的反作用力等动力学参数,并通过仿真分析,验证了建模方法的有效性。     

无刷直流电机控制系统的建模及仿真

分析了无刷直流电机的工作原理和数学模型,建立了无刷直流电机以及双闭环控制系统的仿真模型,并对系统进行了仿真.通过分析仿真结果,验证了仿真模型的合理性.从而加快了实际控制系统的设计过程.     

虚拟作战系统的演化建模研究

提出虚拟作战系统演化模型的内涵、研究目的与目标;研究了虚拟作战系统仿真原理与建模过程以及演化建模方法,提出了基于主体的虚拟作战系统演化建模方法;设计了虚拟作战系统演化模型体系结构,总结了虚拟作战系统模型的组合层次,并给出了模型间的信息控制关系。     

可重构生产系统的BAOOIM建模法研究

提出了一种集成的建模方法——BAOOIM建模法。这种方法集成了面向对象模型、功能模型、动态模型的优势从不同的角度描述了可重构生产系统,而且BAOOIM建模法采用一定的映射机制在各个子模型之间进行转换,最终在整体上保持了集成模型中各子模型的一致性,从而为可重构生产系统的设计与控制、性能分析和调度奠定基础。     

机器学习辅助湍流建模在分离流预测中的应用

数据驱动湍流建模是近年来发展的提高雷诺平均N-S方程预测精度的有效手段,通过机器学习算法能够从高置信度数据中自动提取特征,建立准确的从平均流动特征到雷诺应力的预测模型。针对高雷诺数下积冰翼型绕流这一类典型的复杂流动分离问题,基于此前研究者提出的机器学习预测框架,从输入输出特征选择和翼型绕流中数据分布特性两个方面出发,对机器学习预测结果的光滑性和准确性进行改善。提出了基于雷诺应力张量分析和流动特征辨识的输入特征选择准则;提出了局部区域建模方法以及基准模型和机器学习预测模型混合的代入计算方法。将改进方法应用于积冰翼型绕流问题之中,结果表明改进的方法能够准确给出训练集和预测集上的雷诺应力结果,并且代入平均流计算可以得到和真实分布更加接近的流动和机翼表面压力分布。     

事故推演建模技术研究

 在总结现有事故模型、复杂系统特性分析的基础上,提出基于系统学的事故模型——事故推演模型,该模型强调从分析系统各组成部分的耦合关系及系统涌现特性的角度揭示事故是如何发生的。针对目前尚缺乏成熟的方法来支持基于系统学的事故分析的现状,建立了与事故模型匹配的事故推演建模方法,层次化面向对象的Petri网（HOOPN）,给出HOOPN的形式化描述,分析了HOOPN对事故推演建模的支持能力,介绍了基于HOOPN的事故推演建模程序。最后利用HOOPN建立民用航空器盘旋进近过程的事故推演模型,并对模型进行定性分析,验证该方法的适用性。     

基于多Agent的舰载机弹射起飞仿真层次模型(英文)

With the aid of multi-agent based modeling approach to complex systems, the hierarchy simulation models of carrier-based aircraft catapult launch are developed. Ocean, carrier, aircraft, and atmosphere are treated as aggregation agents, the detailed components like catapult, landing gears, and disturbances are considered as meta-agents, which belong to their aggregation agent. Thus, the model with two layers is formed i.e. the aggregation agent layer and the meta-agent layer. The information communication among all agents is described. The meta-agents within one aggregation agent communicate with each other directly by information sharing, but the meta-agents, which belong to different aggregation agents exchange their information through the aggregation layer first, and then perceive it from the sharing environment, that is the aggregation agent. Thus, not only the hierarchy model is built, but also the environment perceived by each agent is specified. Meanwhile, the problem of balancing the independency of agent and the resource consumption brought by real-time communication within multi-agent system （MAS） is resolved. Each agent involved in carrier-based aircraft catapult launch is depicted, with considering the interaction within disturbed atmospheric environment and multiple motion bodies including carrier, aircraft, and landing gears. The models of reactive agents among them are derived based on tensors, and the perceived messages and inner frameworks of each agent are characterized. Finally, some results of a simulation instance are given. The simulation and modeling of dynamic system based on multi-agent system is of benefit to express physical concepts and logical hierarchy clearly and precisely. The system model can easily draw in kinds of other agents to achieve a precise simulation of more complex system. This modeling technique makes the complex integral dynamic equations of multibodies decompose into parallel operations of single agent, and it is convenient to expand, maintain, and reuse the pro     

Dynamics modeling and pressure control of composites tape winding system based on LQSMC

Pressure fluctuations during the composite fiber winding process seriously affect the product's compactness strength, fatigue resistance, stress uniformity, and resin content. The accuracy of pressure control systems is affected by nonlinear disturbances, such as friction, parameter perturbation, and measurement noise. A robust control algorithm based on linear quadratic optimal control and sliding mode control (LQSMC) is proposed to overcome these problems. The method is based on the system state space expression and linear quadratic optimal control. The state space model of the system is improved by using a Kalman filter and control input for state estimation, and a new sliding surface equation is defined. The ameliorated control algorithm exhibits good performance and can effectively suppress sliding mode control (SMC) chattering. Simulation and experimental results show that LQSMC offers high control precision, much stronger anti-interference, and robustness, which can effectively improve the positioning and tracking accuracy of a pressure control system compared with linear quadratic optimal control (LQC). The winding pressure control precision is improved by 45% to 50%. The results show that the porosity of composite fiber tape winding products decreased thanks to our method.