摘要 作为一个新兴的综合领域，网络控制系统在控制和计算机系统，以及网络资源与技术方面都有所涉及。也正因为这样，网络其本身所拥有的时延和有限资源的局限性，给控制理论带来了新的研究方向和意义。这其中，网络量化控制就是不可缺少的一部分。64501

本课题主要研究了网络环境下的量化控制系统和量化器设计，以及MEF-TOD调度算法和相应的状态反馈控制器设计。重点针对一类带宽受限网络控制系统，首先提出了一种静态量化算法，采用了水平-中心型均匀量化器。其主要思想是对系统输入信号和反馈信号进行量化处理，通过扇型界方法处理量化误差，并设计了状态反馈控制器；并采用一种MEF-TOD的调度算法，同时考虑到整个网络带来的时延，设计了状态反馈控制器使闭环网络控制系统稳定。

最后，利用Truetime仿真工具搭建网络控制系统的仿真模型，分别对静态算法和MEF-TOD调度策略，进行仿真验证。仿真结果表明所讨论的方法的有效性。

毕业论文关键词  网络控制系统，带宽受限，静态量化，MEF-TOD，TRUETIME仿真

毕业设计说明书（论文）外文摘要

Title  Quantized-control and simulation for network control system with limited bandwidth

Abstract

As an emerging integrated field, networked control system covers in the control and computer systems, and network resources and the technical aspects. Precisely because of this, the delay and limited resource constraints of network, brings new research direction and meaning to control theory. Among these, the network quantization control is an indispensable part.

The main subject of this issue is directed towards quantization control system and the quantizer. MEF-TOD and its state feedback controller are also included in the issue. Firstly a static quantization algorithm is proposed, with a mid-tread uniform quantizer. The core idea is to quantize the signals of the input and output of the control the system. The quantization error is treated as sector-bounded uncertainty and a state feedback controller is proposed. With a kind of MEF-TOD scheduling algorithm, taking into account the delay bringing by entire network , state feedback controller is designed to promises that the closed-loop network control system is stable..

Finally, based on simulation tools, Truetime, the simulation model of network control system is build, including static algorithms and MEF-TOD scheduling strategy, simulation design. Results of simulations show the previously discussed methods have certain effectiveness.

Keywords  Network Control System, Limited Bandwidth, Static Quantization,  MEF-TOD, Truetime Simulation 

目   次

1 绪论 1

1.1 NCS的概述 1

1.2 网络控制系统概述 3

1.3 网络控制系统中的调度问题 5

1.4 网络控制系统中的调度问题 6

2 网络控制系统的静态量化调度算法 8

2.1 引言 8

2.2 量化器的设计 8

2.3 静态量化调度算法的设计 9

2.3.1 问题描述