Fuzzy signal detection theory: analysis of human and machine performance in air traffic control,and analytic considerations

This paper applies fuzzy SDT (signal detection theory) techniques, which combine fuzzy logic and conventional SDT, to empirical data. Two studies involving detection of aircraft conflicts in air traffic control (ATC) were analysed using both conventional and fuzzy SDT. Study 1 used data from a preliminary field evaluation of an automated conflict probe system, the User Request Evaluation Tool (URET). The second study used data from a laboratory controller-in-the-loop simulation of Free Flight conditions. Instead of assigning each potential conflict event as a signal (conflict) or non-signal, each event was defined as a signal (conflict) to some fuzzy degree between 0 and 1 by mapping distance into the range [0, 1]. Each event was also given a fuzzy membership, [0, 1], in the set ‘response’, based on the perceived probability of a conflict or on the colour-coded alert severity. Fuzzy SDT generally reduced the computed false alarm rate for both the human and machine conflict systems, partly because conflicts just outside the conflict criterion used in conventional SDT, were defined by fuzzy SDT as a signal worthy of some attention. The results illustrate the potential of fuzzy SDT to provide, especially in exploratory data analysis, a more complete picture of performance in aircraft conflict detection and many other applications. Alternative analytic methods also using fuzzy SDT concepts are discussed.     

Fuzzy logic based assignable cause diagnosis using control chart patterns

Control chart patterns, besides determining the presence of assignable causes, also provide hints on the nature of assignable cause(s) present. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this work, a rule based fuzzy inference system is developed for control chart to prioritize the control chart causes based on the accumulated evidence. When a process goes out of control, search for assignable causes can be assisted by the priorities assigned to the causes. For an in-control process, developing patterns can be tracked and preventive action can be taken to prevent the process from going out of control.     

Fuzzy model based integral action sliding mode control

 A method for combining black box nonlinear models and sliding mode control is presented. In this approach the advantages of the sliding mode control technique are maintained. Parametric uncertainty and unmatched disturbances are acknowledged as limiting factors of controller performance, and their effects are minimised through the use of local linearisation of the nonlinear model. Simulation results demonstrate performance improvements.     

模糊控制节水洗衣机模型

洗衣机的最小用水量涉及洗衣量、肮脏度、衣料质地、洗涤剂、机械力等多种因素，难以建立精确的解析模型进行控制。而采用熟练洗衣者的经验知识构成的模糊推理规则进行控制，则能达到很好的节水效果。本文采用模糊数学的基本原理选择洗衣布量和浑浊度两个主要因素对洗衣机的用水量进行模糊控制，以达到尽可能节水的目的。本模型经过计算机仿真后，所得到的用水量与市场上的几种洗衣机的耗水量相比，具有明显的节水效果，节水量达到10％－20％。     

模糊控制在自来水厂加氯控制系统中的应用

自来水厂加氯系统分为前加氯和后加氯。前加氯系统采用流量比例前馈控制，后加氯系统具有大时滞，鲁棒性差的特点，用传统的PID调节器达不到满意的控制效果。本文在后加氯控制系统中提出了采用模糊控制的方案。并和传统的数字增量式PID控制器进行了仿真比较，从仿真结果和工程运用的实际情况来看，使用本方案取得了很好的控制效果。     

基于PLC的模糊控制污水处理系统

针对现代污水处理系统的复杂性和难以建立准确数学模型的特点,提出了一种用PLC对系统进行模糊控制的方法及实现。结果表明,基于该方法的系统抗干扰能力强,实现简单,取得了良好的调节品质。     

模糊控制产品的进展与应用

本文介绍了模糊微处理器和开发工具的最新进展．以及采用模糊技术的测量、控制仪表产品和它们在工业现场的应用。     

Fuzzy Logic Control ASIC Chip

A fuzzy logic control VLSI chip,F100,for industry process real-time control has been designed and fabricated with 0.8μm CMOS technology.The chip has the features of simplicity,felexibility and generality.This paper presents the Fuzzy control inrerence method of the chip,its VLSI implementation,and testing esign consideration.     

模糊控制及其在开关磁阻电动机控制中的应用

对常规的模糊控制器的设计进行了分析研究。以提高系统精度为目的,简单实用为原则,设计了模糊PID控制器。仿真结果表明,所设计的模糊PID控制器大大提高了系统的控制精度,加快了系统的响应特性,可以做到理论上无静差,明显优于常规的模糊控制器。最后把设计的模糊PID控制器应用到开关磁阻电动机调速系统中,经过反复实际调整,确定了一组合适的量化因子的数值,这对量化因子使用理论值来说是个突破。同时实验结果表明,文中设计模糊PID控制算法不但可行,且效果很好,已在实际中得到成功的应用。     

智能模糊控制洗衣机的设计

本文将模糊控制引入洗衣机控制系统中，根据洗衣机工作特点，重点阐述了其模糊决策系统和主要检测电路，并给出该洗衣机的控制程序流程图。     

Fuzzy logic path planning for the robotic placement of fabrics on a work table

In this paper, an innovative fuzzy logic approach for the robotic laying of fabrics on a work table and based on fuzzy sets is presented. Through handling experiments the solution domain for the path of the robotic gripper is determined, the handling parameters are identified and implicit knowledge is accumulated. Then a proper scheme for the data acquisition is formed and a path-planning algorithm based on fuzzy logic is developed. Due to conflicts and inaccuracies of the acquired data, a subtractive clustering algorithm is used, to identify the proper clusters for the two developed fuzzy systems, with the first employing the clusters as rules and the second a neuro-fuzzy system initialised by the implicit knowledge and trained via back-propagation. Finally, the effectiveness of the two path-planning systems is investigated in an experimental stage where the robot successfully places on a table fabrics of a variety of materials and sizes.     

潜遗传变论域模糊控制及其伸缩因子

在动态性能指标和稳态性能指标方面，潜遗传变论域模糊控制器相对于一般模糊控制器均获得了较大的提高。这主要体现在稳态精度的提高和超调量的降低。但是，这些性能的提高与其伸缩因子的选取有很大的关系。针对不同的控制对象中，详细讨论了伸缩因子的参数对控制器动态性能的影响，总结了参数在不同的数值区间取值时影响动态性能的规律，解决了在实际应用变论域模糊控制器时对参数取值的困难。     

Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort

This paper considers motion control for a cooperative system of automated passenger vehicles. It develops a cooperative scheme based on a decentralized planning algorithm which considers the vehicles in an initial open chain configuration. In this scheme the trajectories are intersections-free, and each trajectory is planned independently of the others. To ensure the stabilization of each vehicle in the planned trajectory, a fuzzy closed loop motion control is presented, where, based on the properties of the Fuzzy maps, the Lyapunov’s stability of the motion errors is demonstrated for all the vehicles. Based on the ISO 2631-1 standard, the saturation property of the Fuzzy maps guarantees low values of longitudinal and lateral accelerations, to ensure comfort of the human body during the motion. The validity of this control algorithm is supported by simulation experiments.     

基于虚拟样机与二型模糊系统的机车粘着控制

为了抑制轮对空转,并使轮轨间的粘着处于极限状态,需要开发基于虚拟样机和现代控制理论的机车粘着控制技术。组建了包括电力机车多刚体动力学模型、电力牵引传动系统和控制系统的仿真平台。针对电力机车牵引系统的强非线性和不确定性,引入二型模糊逻辑以实现机车粘着控制。仿真结果表明,在该仿真平台上能够成功实现基于二型模糊系统的粘着控制,并且能够较好地抑制空转现象,实现优化粘着控制。     

Fuzzy logic steering control of autonomous vehicles inside roundabouts

The expansion of roads and the development of new road infrastructures have increased in recent years, linked to the population growing in large cities. In the last two decades, roundabouts have largely replaced traditional intersections in many countries. They have the advantage of allowing drivers continuous flow when traffic is clear, without the usual delay caused by traffic lights. Although roundabouts with and without traffic-signal control have been widely used and considered in the literature, driverless control on roundabouts has not been studied in depth yet. The behavior of autonomous vehicles in roundabouts can be divided into three stages: entrance, inside, and exit. The first and last may be handled as an extension of intersections. However, autonomous driving on the roundabout requires special attention. In this paper, the design and implementation of a fuzzy logic system for the steering control of autonomous vehicles inside the roundabout is proposed. Cascade architecture for lateral control and parametric trajectory generation are used. Fuzzy control has proved to be easy to define using expert knowledge. Experiments with a real prototype have been carried out, taking into account different speed profiles and lane change maneuvers inside the roundabout, with very satisfactory results.     

Stabilization of multiple independent linear systems with control networks

The problem of stabilizing multiple independent linear systems sharing one conmmon network cable is presented and solved. Both the quanfization and time sequencing are studied in the field of control over networks by providing the formulated stabilizing sufficient condition which illustrates the relationship between the system instability, quanfization and time sequencing, and the data rate is also presented in temps of the quanfization and time sequencing. A numerical example is given to illustrate the result.     

强耦合多变量模糊温度控制系统的研究

针对强耦合多变量温度控制系统进行了研究，系统是以中央温度和均匀温度作为输入，以加热元件和热风速度作为输出，形成了双输入-双输出温度控制系统。采用具有解耦功能的模糊控制，介绍了控制算法的步骤，根据实际情况提出了分段控制算法。实践表明该系统切实可行，达到了所要求的控制精度和目的。     

Fuzzy operator logic and fuzzy resolution

There have been only few attempts to extend fuzzy logic to automated theorem proving. In particular, the applicability of the resolution principle to fuzzy logic has been little examined. The approaches that have been suggested in the literature, however, have made some semantic assumptions which resulted in limitations and inflexibilities of the inference mechanism. In this paper we present a new approach to fuzzy logic and reasoning under uncertainty using the resolution principle based on a new operator, the fuzzy operator. We present the fuzzy resolution principle for this logic and show its completeness as an inference rule.     

Support software for the development of programmable logic controller applications

Enhancements to the software aids, used for the development of Programmable Logic Controller programs, are proposed in this work. A possible architecture of the software realizing these enhancements and the language constructs required for its configuration to a specific application are also presented. Based on this architecture, experimental software aids have been developed to demonstrate that it is quite feasible to provide the major services considered in this proposal. These services allow the program developer to emulate the dynamic operation of a specific programmable controller to alternative scenarios of input variations and relationships over a defined time horizon, and configure displays of graphics and timing diagrams which may assist him in following up and testing the program execution.     

Mamdani模糊推理算法的直觉化扩展

对Mamdani模糊推理算法进行了直觉化扩展。首先将Mamdani定义的模糊关系R_c进行直觉化扩展;然后推出了其对应的直觉模糊取式推理算法和直觉模糊拒式推理算法;最后以具体算例叙述了推理计算过程中的细节,验证了该方法的正确性和有效性依据直觉准则对其性能进行了评价。