ID |
原文 |
译文 |
39476 |
并对时间性能分析仿真工具进行了二次开发,搭建了通用化的航空嵌入式系统时间性能仿真平台,实现了基于模型的标准化、可视化、图形化的时间性能分析。 |
Therefore, with the secondary development of the time performance analysis and simulation tools, the standardized, visualized and graphical time performance analysis is carried out. |
39477 |
将仿真学科作为对象进行研究,是推进仿真发展的重要工作。 |
It is important to treat modeling and simulation(M&S) as a discipline to advance its development. |
39478 |
我国仿真经过40多年的发展,正在逐渐形成了一门独立的学科。 |
In China, M&S has been researched and applied over 40 years, and is gradually becoming an independent discipline. |
39479 |
当前在面临复杂系统仿真挑战的同时,仿真学科也进入了一个新的发展阶段,必须完善自身建设。 |
Modeling and simulating the complex systems are the challenge, however, this also brings grand opportunity for M&S to widen and improve itself. |
39480 |
回顾20世纪80年代以来我国仿真学科研究的发展,经历了3个阶段,仿真界对仿真作用的认识在逐步加深,对仿真技术发展有多种角度的解读,对仿真学科基础进行了长期的探索,并多方面探讨了仿真的基础理论构成。 |
Since 1980 s, the M&S community in China has realized the broad applications of M&S, comprehended M&S from multiple perspectives, conducted extensive research on basic questions, and discussed the composition of the basic simulation theory. |
39481 |
对这些发展进行了系统性的梳理,并展望了建立仿真学科及其知识体系需要进一步开展的主要工作。 |
By summarizing these achievements, the future works that have to be conducted to establish the simulation discipline and body of knowledge are envisioned. |
39482 |
飞机舵机电液加载系统是一种力伺服系统,是实验中测试舵机性能的专用设备。 |
The electro-hydraulic loading system of aircraft rudder is a torque servo system which is a special equipment for testing the performance of rudder. |
39483 |
为了降低系统存在的多余力对控制效果的干扰,提出了基于粒子群算法的径向基神经网络实时整定PID控制器的控制方法。 |
In order to reduce the influence of surplus force in loading system, a control method for PID controller tuned in real time by radial basis function neural network based on particle swarm optimization is proposed. |
39484 |
利用粒子群算法的全局寻优与超参数优化的特性来改善控制器的控制效果。 |
The characteristics of global and hyper parameter optimization of particle swarm optimization are used to improve the control effect of the controller. |
39485 |
同时使用基于退火的学习系数,加快网络收敛速度。 |
The learning coefficient based on annealing is used to accelerate the network convergence speed. |