本文選題：網(wǎng)絡(luò)控制系統(tǒng) + PSO-BP　； 參考：《沈陽工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著控制理論、通信技術(shù)、計(jì)算機(jī)的發(fā)展,網(wǎng)絡(luò)控制系統(tǒng)在工業(yè)控制領(lǐng)域得到越來越廣泛的應(yīng)用。網(wǎng)絡(luò)控制系統(tǒng)各個(gè)節(jié)點(diǎn)的數(shù)據(jù)傳輸和交換是通過通信網(wǎng)絡(luò)進(jìn)行的,必然會(huì)產(chǎn)生隨機(jī)網(wǎng)絡(luò)時(shí)延的問題,影響系統(tǒng)的控制性能。傳統(tǒng)控制的研究方法已經(jīng)不能滿足當(dāng)前網(wǎng)絡(luò)控制系統(tǒng)研究的需要。為了應(yīng)對(duì)網(wǎng)絡(luò)控制系統(tǒng)帶來的挑戰(zhàn),設(shè)計(jì)出適用于實(shí)際控制系統(tǒng)的控制策略提高系統(tǒng)的控制性能是亟待解決的事情。研究內(nèi)容包括時(shí)延預(yù)測和控制器設(shè)計(jì)兩部分。首先,介紹網(wǎng)絡(luò)控制系統(tǒng)的背景、研究現(xiàn)狀�？偨Y(jié)國內(nèi)外學(xué)者的研究成果。其次,介紹網(wǎng)絡(luò)控制系統(tǒng)的基礎(chǔ)知識(shí)。分析了網(wǎng)絡(luò)控制系統(tǒng)的基本結(jié)構(gòu)和網(wǎng)絡(luò)時(shí)延的組成,說明時(shí)延研究的必要性。利用TrueTime搭建仿真平臺(tái)。推導(dǎo)了時(shí)延和采樣周期二者之間對(duì)系統(tǒng)穩(wěn)定性的影響。然后,對(duì)粒子群優(yōu)化算法和BP神經(jīng)網(wǎng)絡(luò)算法的基本原理進(jìn)行介紹,提出改進(jìn)PSO-BP復(fù)合算法建立預(yù)測模型,為時(shí)延的預(yù)測打下基礎(chǔ)。從實(shí)驗(yàn)仿真平臺(tái)中獲取到歷史時(shí)延數(shù)據(jù),進(jìn)行數(shù)據(jù)處理并進(jìn)行仿真驗(yàn)證,獲得很好地預(yù)測結(jié)果。最后,對(duì)預(yù)測控制算法進(jìn)行了分析。根據(jù)工業(yè)生產(chǎn)過程遇到的問題,對(duì)算法進(jìn)行一步一步的改進(jìn),提出效果更好的PI型隱式GPC控制算法。對(duì)PI型隱式GPC的穩(wěn)定性進(jìn)行了分析推理。提出了基于改進(jìn)PSO-BP的時(shí)延預(yù)測方案和PI型隱式GPC控制算法的控制器設(shè)計(jì)方案。仿真結(jié)果表明本文提出的設(shè)計(jì)方案具有良好的補(bǔ)償效果。
[Abstract]:With the development of control theory, communication technology and computer, networked control system has been more and more widely used in industrial control field. The data transmission and exchange of each node in the network control system is carried out through the communication network, which will inevitably cause the problem of random network delay and affect the control performance of the system. The traditional control research method can not meet the needs of the current networked control system research. In order to meet the challenge of networked control system, it is urgent to design a control strategy suitable for practical control system to improve the control performance of the system. The research includes two parts: time delay prediction and controller design. Firstly, the background and research status of networked control system are introduced. Summarize the research results of domestic and foreign scholars. Secondly, the basic knowledge of network control system is introduced. The basic structure of networked control system and the composition of network delay are analyzed, and the necessity of studying delay is explained. Using TrueTime to build simulation platform. The influence of time delay and sampling period on the stability of the system is deduced. Then, the basic principles of particle swarm optimization and BP neural network algorithm are introduced, and the improved PSO-BP compound algorithm is proposed to build a prediction model, which lays a foundation for the prediction of time delay. The historical delay data are obtained from the experimental simulation platform, and the data are processed and verified by simulation, and good prediction results are obtained. Finally, the predictive control algorithm is analyzed. According to the problems encountered in the industrial production process, the algorithm is improved step by step, and a better Pi implicit GPC control algorithm is proposed. The stability of Pi implicit GPC is analyzed and inferred. A time delay prediction scheme based on improved PSO-BP and a controller design scheme based on Pi implicit GPC control algorithm are proposed. Simulation results show that the proposed design has a good compensation effect.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP273

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