FUZZY RELIABILITY ANALYSIS OF STRUCTURE

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模糊专家系统的快速实现方法及其在鱼雷报警中的应用

给出了一个模糊专家系统的快速实现方法,介绍了具体的知识表示、模糊匹配和推理机的实现方法,并用其构建了用于识别鱼雷的模糊专家系统。由于利用智能线谱检测和提取算法提取出了DEMON图和LOFAR图中的多个高质量的线谱特征,并利用了快速实现方法。此模糊专家系统可以实时给出很好的识别结果。     

船舶主机数字调速仿真训练器的研制

为了研究船舶主机调速系统的特性和控制算法,将船舶主机调速系统的性能要求转化为复合PID控制算法的问题,研制基于Nabtesco MG-800Ⅲ的数字调速仿真器。非线性PID实现主机转速控制,其比例增益、微分增益和积分增益分别是控制偏差的非线性函数。模糊自整定PID实现主机油门的位置控制,其PID的3个参数随着偏差和偏差变化速度,根据模糊控制原理进行在线修改。物理仿真结果表明,数字调速器的非线性模糊自适应PID算法能提高调速系统的动态精度和抑制扰动的能力。     

公路隧道照明精确检测与智能控制系统研究

为解决公路隧道照明系统节能与行车安全、运营管理之间的矛盾，采用理论分析及实际检验的方法，分析了隧道照明控制系统的调光原理、照明控制系统结构以及亮度检测误差产生的原因，设计了一种可调量程的亮度检测仪并给出校准及亮度检测步骤，解决了公路隧道亮度精确检测的难题，采用模糊神经网络算法在照明系统中进行了实际应用，实践证明本算法在亮度满足实际运营需求的前提下可取得良好的节能效果。     

Fuzzy and adaptive fuzzy control for the automobiles’ active suspension system

Two typical criteria for good vehicle suspension performance are their ability to provide good road handling and increased passenger comfort. The main disturbance affecting these two criteria is terrain irregularities. Active suspension control systems reduce these undesirable effects by isolating car body motion from vibrations at the wheels. This paper describes fuzzy and adaptive fuzzy control (AFC) schemes for the automobile active suspension system (ASS). The design objective is to provide smooth vertical motion so as to achieve the road holding and riding comfort over a wide range of road profiles. The efficacy of the proposed control schemes is demonstrated via simulations. With respect to the optimal linear quadratic regulator (LQR), it is shown that superior results have been achieved by the AFC.     

基于自适应粒子群算法的隧道窑温度模糊控制策略

针对隧道窑燃烧过程中的大惯性、纯滞后、多变量、时变参数以及工作机理复杂等特征,利用清晰集构造模糊集法确定模糊控制器输入量和输出量的隶属函数,并基于自适应粒子群算法给出了隧道窑新的温度模糊控制策略。运用模糊控制系统对隧道窑温度进行仿真研究和实时控制,结果表明,该模糊控制器能够克服许多干扰因素,具有良好的控制效果。     

船舶航向模糊控制系统的设计

提出了一种改进的船舶航向模糊控制方法,将航向改变模糊控制器和航向保持模糊控制器有机地结合起来,同时在航向保持模糊控制器的输出端叠加了一个积分作用,提高了航向保持过程中的静态精度。仿真结果表明,无论是在静水环境中还是在不同风和流干扰的环境中,这种改进的航向模糊控制器都比常规的模糊控制器具有更好的控制效果,能够满足船舶航向实时控制的要求。     

A novel fuzzy logic correctional algorithm for traction control systems on uneven low-friction road conditions

The traction control system (TCS) might prevent excessive skid of the driving wheels so as to enhance the driving performance and direction stability of the vehicle. But if driven on an uneven low-friction road, the vehicle body often vibrates severely due to the drastic fluctuations of driving wheels, and then the vehicle comfort might be reduced greatly. The vibrations could be hardly removed with traditional drive-slip control logic of the TCS. In this paper, a novel fuzzy logic controller has been brought forward, in which the vibration signals of the driving wheels are adopted as new controlled variables, and then the engine torque and the active brake pressure might be coordinately re-adjusted besides the basic logic of a traditional TCS. In the proposed controller, an adjustable engine torque and pressure compensation loop are adopted to constrain the drastic vehicle vibration. Thus, the wheel driving slips and the vibration degrees might be adjusted synchronously and effectively. The simulation results and the real vehicle tests validated that the proposed algorithm is effective and adaptable for a complicated uneven low-friction road.     

Cost-time Minimization in a Transportation Problem with Fuzzy Parameters: A Case Study

In real world applications the supply, the demand and the transportation cost per unit of the quantities in a transportation problem are hardly specified precisely because of the changing economic and environmental conditions. It is also important that the time required for transportation should be minimum. In this paper a method has been proposed for the minimization of transportation cost as well as time of transportation when the demand, supply and transportation cost per unit of the quantities are fuzzy. The problem is modeled as multi objective linear programming problem with imprecise parameters. Fuzzy parametric programming has been used to handle impreciseness and the resulting multi objective problem has been solved by prioritized goal programming approach. A case study has been made using the proposed approach.     

中小流域桥梁设计流量的H-C-N法

基于暴雨推求中小流域桥梁设计流量时,设计流量受地理参数、暴雨参数等众多因素的影响,计算公式难以显式表达的情况,采用H-C-N法计算中小流域桥梁设计流量:用层次分析法(Analytic hierarchy process)对影响流量的因素进行分析并筛选出主要因素;用模糊聚类法(Fuzzy clustering)从已知水文站数据集中选取合理的训练样本;运用神经网络方法(Neutral network)建立中小流域桥梁设计流量的隐函数关系式,从而计算出中小流域桥梁的设计流量。用VB.NET编写程序编写H-C-N法计算程序,计算了10座中小流域桥梁的设计流量。结果表明,与广东省法和四院法相比,H-C-N法精度较高,是一种较为科学和实用的算法。