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Development and implementation of real-time intelligent controllers for automation and power industry.

机译：自动化和电力行业实时智能控制器的开发和实施。

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摘要

This research work involves the development and implementation of intelligent controllers for industrial automation and power utilities. This was targeted at three major and dynamic industrial applications namely: (1) Power electronics, (2) Electric drives, and (3) Power systems.; A fuzzy logic controller has been implemented for dc-dc switching converters which experimentally evaluates its sensitivity for variable supply voltages and load resistance variations. The optimum topology of the controller structure was determined experimentally. To take advantage of the learning capability of neural networks, a novel control topology of adaptive network-based fuzzy inference system (ANFIS) for control of the DC-DC converter was developed. The controllers were compared experimentally with a proportional and integral (PI) controller commonly used in industry.; Part of the research work is the development and implementation of an embedded hybrid h-infinity and adaptive fuzzy controller for trajectory tracking of a brushless servo drive system (BEDS). The fuzzy logic controller is equipped with an adaptive law based on Lyapunov synthesis approach to compensate for system uncertainty and random changes in the external load acting on the drive system. The proposed control structure was experimentally verified via state-of-the-art dSPACE DS1104 digital signal processor board.; As an application to power networks, a multi-layer fuzzy logic controller (MLFC) is proposed for the transient stability enhancement of the electric power system making use of a dynamic resistor braking strategy. The proposed controller has two layers: The first layer termed the supervisory layer which specifies the region of operation of sub-controllers within the second layer called the execution layer. The scheme was tested on: (1) a nine bus system with three generators and three loads, and (2) a ten bus test system with four generators and three loads from the Institute of Electrical and Electronics Engineers (IEEE).
机译：这项研究工作涉及用于工业自动化和电力公用事业的智能控制器的开发和实施。这主要针对三个主要的动态工业应用：（1）电力电子设备；（2）电力驱动器；（3）电力系统。已为DC-DC开关转换器实现了模糊逻辑控制器，该控制器通过实验评估其在可变电源电压和负载电阻变化情况下的灵敏度。控制器结构的最佳拓扑是通过实验确定的。为了利用神经网络的学习能力，开发了一种新颖的基于自适应网络的模糊推理系统（ANFIS）的控制拓扑，用于控制DC-DC转换器。通过实验将控制器与工业上常用的比例积分（PI）控制器进行了比较。研究工作的一部分是开发和实现嵌入式混合h-infinity和自适应模糊控制器，用于无刷伺服驱动系统（BEDS）的轨迹跟踪。模糊逻辑控制器配备了基于Lyapunov综合方法的自适应定律，以补偿系统不确定性和作用在驱动系统上的外部负载的随机变化。建议的控制结构已通过最新的dSPACE DS1104数字信号处理器板进行了实验验证。作为电力网络的应用，提出了一种多层模糊逻辑控制器（MLFC），用于利用动态电阻制动策略来增强电力系统的暂态稳定性。所提出的控制器分为两层：第一层称为监控层，它指定第二层内称为执行层的子控制器的操作区域。该方案在以下方面进行了测试：（1）带有三个发电机和三个负载的九总线系统，以及（2）带有电气和电子工程师协会（IEEE）的带有四个发电机和三个负载的十总线测试系统。

著录项

  • 作者

    Ofoli, Abdul R.;

  • 作者单位

    Howard University.;

  • 授予单位 Howard University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 122 p.
  • 总页数 122
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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