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介绍贵州鸭溪金元发电运营有限公司1号至4号锅炉引风机变频调速改造的顺控设备的逻辑设计、逻辑组态;引风机在机组发生异常时引风机工频与变频方式自动切换的逻辑设计、逻辑组态;炉膛负压调节如何在引风机工频运行方式和变频运行方式切换时实现最小扰动的逻辑设计、逻辑组态;引风机增加变频器控制后的运行操作设计,既要满足系统运行要求,又... 相似文献
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在电动车驱动控制单元的设计中.逻辑处理部分的设计是关系到汽车安全可靠行使的关键环节。本文中采用CPLD逻辑处理与微处理器管理相结合实现逻辑控制.可以根据不同运行状态采用不同的控制模式.安全地实现了对复杂运行环境下的逻辑控制。 相似文献
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介绍了一种以AT89C52单片机为核心、KeilC51为开发工具的简易通用逻辑控制器。介绍了逻辑控制器的结构体系,并给出了该系统软硬件设计要点。 相似文献
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数据采集系统的控制逻辑是工业CT(Industrial Computed Tomography)的重要组成部分,如何保证数据采集系统的控制逻辑工作的稳定、可靠、一致性,对于研制工业CT,提高工业CT的整体性能有重要的意义.文中介绍了工业CT数据采集系统控制逻辑的设计方法,论述了数据采集系统控制逻辑的总体设计和详细设计,给出了系统的设计与实现方案. 相似文献
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模拟人的思维逻辑,分析人的思维在控制中的特点,同时融合基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点,提出一种多值逻辑混合动态系统,仿人逻辑预测控制器(HLPC).Matlab仿真表明,该控制器在模型匹配时性能良好,在模型失配时依然能满意运行,表现出响应快、鲁棒性强、超调量小的特点.该控制器结构简单、数学概念和物理背景清晰,可应用于工业控制领域. 相似文献
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在工业控制中,可编程控制装置的应用面在迅速扩展.典型的有可编程控制器(简称PC,以前叫可编程逻辑控制器,简称PLC)和可编程调节器(以下简称PT),大规模的就是集散系统.PC是对逻辑顺控装置的继承和发展,仍然是以逻辑控制为主,高档的机种有一定的连续量控制 相似文献
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本文介绍了一种利用复杂可编程逻辑器件(CPLD)设计28V直流固态功控系统的方法,对整个系统进行了详细的介绍和说明。固态功控系统由控制和逻辑部件、固态开关部件和电流感受部件组成。固态开关部件采用电力MOSFET做软开关,使得电路通断时,不会出现打火花的现象。在可编程逻辑区,运用硬件描述语言(VHDL)在CPLD上实现了SSPC的控制和逻辑功能。 相似文献
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模糊逻辑是人脑思维活动的基本方式,而神经网络则是模仿人脑神经系统功能而设计的一类巨型非线性网络。所以将模糊逻辑与神经网络相结合具有很大的前途。本文利用模糊神经元突破了没有计算机就不能实现模糊控制的传统观点,给出了一种不用计算机就能实现的模糊神经网络控制器,对模糊控制的硬件实现起到积极的作用。 相似文献
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Android智能手机的普及,使得利用Android智能手机控制智能小车成为众多学者的研究方向之一,本文通过Android智能手机、逻辑电路和蓝牙模块实现了智能小车的无线控制方式,进而实现人们探测对所不能到达区域的未知环境的目的。 相似文献
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This paper introduces the reader to the concepts of fuzzy sets and fuzzy logic and to their capabilities in the area of control systems. To understand the capabilities of fuzzy logic in real-time controller design, a controller for an environmentally conscious refrigeration system was designed and implemented. Initial results show that a fuzzy logic controller is easy to implement, does not need an exact system model, does not need precise and expensive hardware, and deals with human concepts in a fairly natural and obvious way. This would be, hopefully, a potential avenue for future production of intelligent manufactured products. 相似文献
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一种面向应用的基于访问权限的动态控制方法 总被引:4,自引:0,他引:4
信息安全是当今的热点问题之一,它又可分为数据库管理系统安全、操作系统安全、网络安全等。在MIS等应用软件中,常利用菜单进行访问控制。这种方法很容易实现,一般是利用程序逻辑直接控制,或将控制信息预先生成且保存在数据库中。然而,在系统需求发生变化或开发其它的系统时,一般要重复开发这些控制逻辑。该文介绍了一种在数据库中存储权限控制信息,并利用深度优先算法遍历菜单从而进行权限控制方法。这种方法弥补了上述不足,从而实现了软件的重用,提高了软件开发效率。 相似文献
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A fuzzy expert system uses fuzzy logic control (Zadeh, 1965) which is based on a ‘superset’ of Boolean logic that has been extended to handle the concept of ‘partial truth’ and it replaces the role of a mathematical model with another that is built from a number of rules with fuzzy variables such as output temperature and fuzzy terms such as ‘hot’, ‘fairly cold’, ‘probably correct’. In control areas, an expert system using fuzzy logic principles has advantages over conventional Proportional-Integral-Derivative (PID) closed-loop control such as the ability to offer a method for representing and implementing the expert’s knowledge, the ability to implement simple but robust solutions as well as comparatively less development and maintenance time of the involved control system. A fuzzy expert system may further outperform conventional PID control system when dealing with ‘multiple-input multiple-output’ control situations where more complex control algorithms for conventional PID system are required. This paper presents a methodology for the implementation of such a fuzzy expert system with a step-by-step, non-mathematical approach, which is able to handle complex closed-loop control situations. A practical example is employed to illustrate the ‘road-map’ of the methodology with realistic data based on the implementation of this system in a local company. 相似文献
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In a number of real-time applications such as target tracking, precise workloads are unknown a priori but may dynamically vary, for example, based on the changing number of targets to track. It is important to manage the CPU utilization, via feedback control, to avoid severe overload or underutilization even in the presence of dynamic workloads. However, it is challenge to model a real-time system for feedback control, as computer systems cannot be modeled via physics laws. In this paper, we present a novel closed-loop approach for utilization control based on formal fuzzy logic control theory, which is very effective to support the desired performance in a nonlinear dynamic system without requiring a system model. We mathematically prove the stability of the fuzzy closed-loop system. Further, in a real-time kernel, we implement and evaluate our fuzzy logic utilization controller as well as two existing utilization controllers based on the linear and model predictive control theory for an extensive set of workloads. Our approach supports the specified average utilization set-point, while showing the best transient performance in terms of utilization control among the tested approaches. 相似文献