A design methodology for mechatronic vehicles: application of multidisciplinary optimization,multibody dynamics and genetic algorithms

A design methodology for mechatronic vehicles is presented. With multidisciplinary optimization (MDO) methods, strongly coupled mechanical, control and other subsystems are integrated as a synergistic vehicle system. With genetic algorithms (GAs) at the system level, the mechanical, control and other relevant parameters can be optimized simultaneously. To demonstrate the feasibility and efficacy of the proposed design methodology for mechatronic vehicles, it is used to resolve the conflicting requirements for ride comfort, suspension working spaces and unsprung mass dynamic loads in the optimization of half-vehicle models with active suspensions. Both deterministic and random road excitations, both rigid and flexible vehicle bodies and both perfect measurement of full state variables and estimated limited state variables are considered. Numerical results show that the optimized vehicle systems based on the methodology have better overall performance than those using the linear quadratic Gaussian (LQG) controller. It is shown that the methodology is suitable for complex design optimization problems where: (1) there is interaction between different disciplines or subsystems; (2) there are multiple design criteria; (3) there are multiple local optima; (4) there is no need for sensitivity analysis for the optimizer at the system level; and (5) there are multiple design variables.     

网络计划工期－费用的动态规划决策

关键路线法中网络计划工期－费用优化，可以化为一系列单阶段决策，构成确定性离散优化决策问题，本文试用动态规划处理这一过程。     

结构可靠性优化设计的遗传算法

本文针对结构可靠性优化设计问题的特点与计算上的难点，提出遗传算法，文中比较详细地比较了遗传算法的理论基础，遗传算子及工作过程，并对参数选择及其对收敛的影响作了探讨，最后以两个可靠性优化问题作了算例，验证了遗传算法解决此类问题的有效性。     

集合划分问题的粒子群优化算法

建立了集合划分问题的优化数学模型,结合遗传算法的思想提出的粒子群算法来解决集合划分问题。经过比较测试,6种粒子群算法的效果都比较好,特别交叉策略A和变异策略A的混合粒子群算法是最好的且简单有效的算法。     

人工神经网络在故障诊断系统中的应用

人工神经网络以其独到的联想、记忆、储存和学习功能，在故障诊断领域受到了广泛关注。其中，BP网络是最成熟、应用最广泛的一种网络。但BP网络在实际应用中也存在诸多不足，如学习率的取值需要凭借经验或试算选取，网络学习收敛速度慢以及易陷入局部最小点等。针对BP网络的这些不足，采用了Rumelhan附加惯性冲量和动态调整学习率相结合的改进的BP网络方法，并尝试用该改进算法来对凝汽器进行故障诊断。事实证明，在平均情况下，本系统收敛速度远远快于基本的BP算法。     

基于红外搜索系统的被动测距技术研究

红外搜索系统是一种被动探测系统，量测数据中无目标的距离量；而评判来袭目标的威胁程度离不开其距离量。介绍了基于红外搜索系统的被动测距技术测量目标距离的算法、原理框图以及仿真试验与结果。     

三峡船闸(139m水位)一闸室船舶待闸研究

通过优化三峡船闸输水阀门运行参数,满足了船舶在一闸室待闸的停泊条件;组织代表船型进行实船试验,形成了连续调度快速安全的调度工艺,取得了在139m水位条件下,三峡船闸下行通航效率提高15%的效果。     

Studies on the optimization of stern hull form based on a potential flow solver

A hypothesis of the minimum energy of secondary flow, suggested by Bessho, is introduced here. According to this hypothesis, it can be expected that hull forms having frame lines with a minimum energy of secondary flow show less form drag. In the first part of this article, secondary flow energy is evaluated for the cases with and without a free-surface effect, and Bessho’s hypothesis is confirmed for practical hull forms. Then optimization methods for the stern hull form are suggested, in which a nonlinear optimization technique is introduced. Numerical examples are given for a practical tanker hull form and a practical container hull form. From these studies, the suggested optimization method can be confirmed as a simplified and practical design method to the select frame lines of stern hull forms.     

船载直升机着船预报系统及评估方法

介绍船载直升机着船预报系统的硬件组成和几种常用的预报方法,提出一种基于微成分分析的新的预报方法。最后,对综合考虑横摇和纵摇2种运动的着船预报效果进行评估。     

遗传算法在船舶动力机械混合隔振系统优化设计中的应用

阐明了混合隔振问题的实质就是综合被动隔振系统和主动控制系统的多目标联合优化设计.运用子结构导纳综合法分析了应用混合隔振技术的双层隔振系统的功率流传递特性.采用遗传算法对混合隔振系统进行了优化设计,并作了数值仿真.