網(wǎng)絡(luò)控制系統(tǒng)的帶寬管理與優(yōu)先級(jí)調(diào)度研究
[Abstract]:Network control system is a closed loop control system which uses communication network to exchange data information between controllers, sensors, actuators and other nodes located in different geographical locations. It has the characteristics of intelligence, network and distribution. It can meet the needs of complex structure, large scale and remote control in large industry, so it has attracted the attention of Chinese and foreign scholars and engineers. However, due to the introduction of shared network as communication medium in networked control systems, there are bound to be some problems, such as bandwidth limitation, packet loss, node-driven mode and network-induced delay, etc. Compared with the design and analysis of traditional control system, it has become a research hotspot at home and abroad. Multiple control loops in networked control systems share limited network bandwidth resources, which will inevitably result in competition for limited bandwidth resources. If the bandwidth utilization of one control loop is too high, the performance of other control circuits and the whole system will be affected. In order to ensure the control performance and stability of the networked control system, not only the superior control algorithm is needed, but also the reasonable scheduling strategy is needed, so how to dynamically allocate the bandwidth of each control loop, Adjusting concurrent priority is the key to balance the competition of network bandwidth resources and control performance. In this paper, bandwidth management and priority scheduling in networked control systems are studied from the point of view of bandwidth constraints. Bandwidth management strategies based on bandwidth constraints and two-parameter priority scheduling strategies based on bandwidth management are proposed respectively. The control performance and bandwidth resource utilization of the system are improved effectively. The main contents of the research are as follows: first, A bandwidth management strategy based on bandwidth constraint is proposed to solve the problem of how to feedback the excess bandwidth of the loop step by step and to optimize the allocation of the overall desired bandwidth in the networked control system with multiple control loops. By establishing a global network scheduler, the control error of each control loop is estimated according to the control performance of the control loop, and the control performance is improved by using the fuzzy reasoning method and according to the principle of bandwidth allocation (the loop with poor control performance can obtain the bandwidth step by step; The loop with good control performance returns the excess bandwidth step by step to the network for use by other circuits) and periodically determines the desired bandwidth of each control loop. The actual bandwidth allocation is designed for two cases: the expected bandwidth is within the bandwidth constraint and the other is outside the bandwidth constraint. The experimental results show that the scheduling strategy can effectively improve the bandwidth utilization and control performance of the system. Secondly, a two-parameter priority scheduling strategy based on bandwidth management strategy is proposed to solve the problem of the lack of stability of single important characteristic parameter of priority scheduling and the difficulty of combining bandwidth management strategy with priority scheduling strategy. On the basis of centralized bandwidth scheduling based on bandwidth management strategy, distributed priority scheduling is carried out on each sensor node. The sampling period of the global network scheduler in the bandwidth management strategy is taken as the network requirement parameter and the idle time of the task transmission is taken as the network emergency parameter to determine the priority parameter. The principle of the priority parameter adjustment is: the priority of the control loop with large load is mainly determined by the network requirement degree, the second is the network emergency degree, and the method of segmental planning of the identifier based on the extended frame of CAN is proposed. It not only embodies the dynamic characteristics of the strategy, but also reflects its fixed uniqueness, and increases the node capacity of the system. The experimental results show that the scheduling strategy can dynamically adjust the priority of each communication node periodically and further improve the control performance of the system.
【學(xué)位授予單位】:西南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP273
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 時(shí)維國;張明華;邵誠;;一種多參數(shù)模糊神經(jīng)網(wǎng)絡(luò)控制系統(tǒng)調(diào)度算法[J];化工自動(dòng)化及儀表;2015年06期
2 田中大;李樹江;王艷紅;高憲文;石彤;;網(wǎng)絡(luò)控制系統(tǒng)的模糊權(quán)重變采樣周期調(diào)度策略[J];電子學(xué)報(bào);2015年05期
3 楊華龍;劉金霞;鄭斌;;灰色預(yù)測GM(1,1)模型的改進(jìn)及應(yīng)用[J];數(shù)學(xué)的實(shí)踐與認(rèn)識(shí);2011年23期
4 時(shí)維國;湯憶;邵誠;;一種遞推式變采樣周期網(wǎng)絡(luò)控制系統(tǒng)調(diào)度算法[J];化工自動(dòng)化及儀表;2011年11期
5 畢昆;;交換式以太網(wǎng)周期性實(shí)時(shí)數(shù)據(jù)的混合調(diào)度[J];武漢冶金管理干部學(xué)院學(xué)報(bào);2011年01期
6 趙元韜;楊壽保;滕達(dá);黃彥彬;赫衛(wèi)卿;;WiMAX Mesh網(wǎng)絡(luò)混合調(diào)度下的QoS保障[J];計(jì)算機(jī)工程;2010年05期
7 李洪波;孫增圻;孫富春;;網(wǎng)絡(luò)控制系統(tǒng)的發(fā)展現(xiàn)狀及展望[J];控制理論與應(yīng)用;2010年02期
8 沈艷;郭兵;;網(wǎng)絡(luò)控制系統(tǒng)變采樣周期智能動(dòng)態(tài)調(diào)度策略[J];四川大學(xué)學(xué)報(bào)(工程科學(xué)版);2010年01期
9 王斌杰;吳卿;趙俊杰;;基于汽車電子網(wǎng)絡(luò)的CAN總線簡化型混合調(diào)度算法[J];機(jī)電工程;2009年06期
10 康軍;戴冠中;牛云;;針對(duì)時(shí)間距離約束的網(wǎng)絡(luò)化控制系統(tǒng)帶寬調(diào)度策略[J];控制與決策;2009年05期
相關(guān)博士學(xué)位論文 前1條
1 邱占芝;廣義網(wǎng)絡(luò)控制系統(tǒng)分析、建模與控制[D];東北大學(xué);2006年
相關(guān)碩士學(xué)位論文 前4條
1 湯憶;網(wǎng)絡(luò)控制系統(tǒng)變采樣周期調(diào)度算法研究[D];大連交通大學(xué);2012年
2 史美華;網(wǎng)絡(luò)控制系統(tǒng)中控制與調(diào)度的協(xié)同設(shè)計(jì)方法研究[D];東北大學(xué);2012年
3 湯橋;網(wǎng)絡(luò)控制系統(tǒng)控制策略的研究[D];大連交通大學(xué);2010年
4 李斌;基于CAN總線網(wǎng)絡(luò)控制系統(tǒng)調(diào)度算法的分析與研究[D];天津大學(xué);2004年
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