PMIG焊焊接电弧电压的模糊控制

模糊控制是一种新型智能控制方法。本文介绍作者拟对脉冲熔化极气体保护焊(PMIG焊)焊接过程中的电弧电压参数进行模糊控制,取得了良好的焊接电弧稳定性和焊缝成形的效果。     

基于模糊PID的自动配料系统控制研究

针对工业系统自动配料过程中配料精度难以控制的问题，提出了一种模糊结合PID的复合型预测控制算法。算法将模糊控制宽范围快速调节和PID精确调节的特点有机结合起来，当系统的偏差大于某一设定值时采用结合了人的经验的模糊规则控制，当系统偏差小于设定值时采用PID控制。模糊控制器的两个输入分别为系统期望值和偏差，通过不同的期望值预测不同的空中落差。实际应用表明该算法比单纯的PID控制在系统精度和速度上均有所提高。     

粉煤燃烧器式加热炉模糊控制

对粉煤燃烧器式加热炉炉温控制采用了模糊控制系统.本系统具有实现控制图象的动态显示功能,能够保护控制系统和提供帮助.模拟结果表明控制效果良好.     

模糊理论在液压系统故障诊断中的应用

通常液压系统的故障诊断大多是根据专家经验来进行的,往往有些故障模糊不清,加上其诊断准确性受专家经验限制,系统故障误诊现象时有发生。本文应用模糊综合评价理论和方法对液压系统故障进行智能综合评价。该方法具有错容性好、评价方法简单等特点,能达到准确、高效地判断液压系统故障的目的。     

MATLAB在汽车半主动悬架仿真中的应用

介绍了利用MATLAB软件建立汽车的二自由度数学模型。并建立了基于参考模型的模糊及PID控制器，通过应用SIMULINK对比仿真，得出了模糊控制器对于汽车半主动悬架的控制效果要优于PID控制器。     

模糊综合评判在级进模工序排样中的应用

通过分析级进模工序排样设计中的模糊性准则，利用模糊综合评判理论建立了对排样方案进行优化数学模型，并通过了事例验证。     

Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

Due to the complexity of the machine tool structure and the cutting process, the dynamics of machining processes are still not completely understood. This is especially true due to the demand of high-speed machining to increase productivity. In order to model and control these complex processes, new approaches, which can represent complex phenomenon combined with learning ability, are needed. The combined neural–fuzzy approach appears to be ideally suited for this purpose. In this paper, the recently developed fuzzy adaptive network (FAN) is used to model surface roughness in turning operations. The FAN network has both the learning ability of neural network and linguistic representation of complex, not well-understood, vague phenomenon. Furthermore, it can continuously improve the initially obtained rough model based on the daily operating data. To illustrate this approach, a model representing the influences of machining parameters on surface roughness is established and then the model is verified by the use of the results of pilot experiments. Finally, a comparison with the results based on statistical regression is provided.     

一个高速开关阀控液压系统的模糊控制研究

本文设计了一个采用高速开关阀控制的液压缸位置控制系统，该系统便于和微机接口实现数字控制。本系统运用PWM技术和模糊控制技术，实现了系统的精确控制。仿真结果表明，该控制器具有快速响应性和好的稳定性。同时也表明了采用模糊控制方法可以有效的解决一类非线性系统的控制。     

控制技术及模糊控制在冲天炉熔炼中的应用

介绍了国内外冲天炉熔炼控制技术的发展状况。在分析国内铸造业具体情况后，提出了采用人工智能控制技术中的模糊控制理论对冲天炉熔炼控制的可行性和发展方向。     

An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company

In recent years, strategy aspects related to core competency, risk analysis and organizational flexibility especially have been growing. This trend has led researchers and industries to become more interested in the multi-criteria decision making (MCDM) models for selecting outsourcing providers. The efficiency of decision-making mostly depends on the ability of decision-makers analyzing the complex cause and effect relationship between criteria and taking effective actions based on the analysis. Using an analytical method to select the most eligible outsourcing provider is significant for a company which desires to improve its competitiveness. In this study, a fuzzy integrated multi-criteria decision making method for evaluation and determination of an outsourcing provider for a telecommunication company is analyzed by using DEMATEL and Fuzzy ANP multi-criteria decision making techniques. First, DEMATEL method is used in order to put forward the interrelationship among the main criteria which are determined in the study for outsourcing selection process. Then, local weights of the sub-criteria and sub-subcriteria are calculated by Fuzzy ANP approach on the basis of cause-effect relationships that are exposed through DEMATEL method. The local weights are put into ANP supermatrix, and calculations are implemented to select out the most eligible outsourcing provider.