一种基于NSGA-II算法的自理系统工程设计方法,应用于复杂的系统
Xiaoqian Zhang1, Qinghai Zhang2, Qingjian Zhao2
1Shandong Key Laboratory of Space Debris Monitoring and Low-orbit Satellite Networking, Qingdao University of Technology, Qingdao, 266525, Shandong, China. zhangxiaoqian@stu.qut.edu.cn.
Scientific reports
|August 28, 2025
概括
本研究介绍了一个集成的框架,它将主观设计和基于模型的系统工程与复杂系统设计的NSGA-II优化相结合. 它增强了模块化分析和合识别,减少了对专家的依赖.
科学领域:
- 系统工程
- 计算工程
- 设计科学
背景情况:
- 复杂的系统工程需要强大的方法来管理相互依赖.
- 传统的方法通常依赖于专家的知识来优化设计结构.
- 将正式设计原则与先进的优化整合起来对于增强系统模块化至关重要.
研究的目的:
- 为复杂系统设计提出一个综合框架,结合主观设计,基于模型的系统工程 (MBSE) 和NSGA-II.
- 开发一个多层次的可追溯性矩阵,将系统元素从要求与物理结构联系起来.
- 通过智能优化增强合关系的分析并支持以模块化为导向的设计.
主要方法:
- 使用SysML进行跨用户,功能,行为和物理领域的正式映射的综合框架的开发.
- 构建一个多层次可追溯矩阵以确保双向可追溯性.
- 纳入NSGA-II算法以动态优化设计结构矩阵 (DSM) 序列,并根据公理设计原则定量评估合度.
主要成果:
- 该框架建立了正式的映射,并确保了系统领域之间的双向可追溯性.
- NSGA-II 动态优化了 DSM 序列,增强了合关系的可视化和明确性.
- 一个关于主动反射器控制系统的案例研究表明,对DSM订购的专家知识的依赖显著减少.
结论:
- 拟议的NSGA-II增强框架提供了复杂系统中模块化分析的系统方法.
- 与传统方法相比,它在合识别和模块化评估方面具有明显的优势.
- 该框架有效地加速了大规模设计空间的融合,提高了设计过程的效率.
相关概念视频
01:16SFG Algebra
171
In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
171
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
100
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
100
01:20Second Order systems I
233
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
233
01:26Classification of Systems-I
294
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
294
01:22Multi-input and Multi-variable systems
149
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
149
01:18Second Order systems II
171
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
171