基于事件觸發(fā)的網(wǎng)絡化系統(tǒng)預測控制研究
發(fā)布時間：2019-05-23 17:40
【摘要】：對于網(wǎng)絡控制系統(tǒng)而言,如何采取合理的控制算法及調(diào)度策略,能夠在很大程度上決定網(wǎng)絡中沖突、阻塞等現(xiàn)象是否產(chǎn)生,繼而減小網(wǎng)絡誘導延遲和數(shù)據(jù)包丟失等因素對系統(tǒng)造成的影響,對改善網(wǎng)絡控制系統(tǒng)的性能起著至關(guān)重要的作用。近年來,事件觸發(fā)這一通信機制由于其能較大的提高網(wǎng)絡資源的利用率而受到越來越多的關(guān)注,但這一機制是以犧牲一定的控制性能為代價的,預測控制算法又能在一定程度上提升系統(tǒng)的控制品質(zhì),因此考慮兩方面的折中進行聯(lián)合研究是有意義的。本文的研究內(nèi)容主要包括以下幾個方面:首先,闡述了本課題的研究背景及意義,簡明扼要地概述了網(wǎng)絡化控制系統(tǒng),分別從網(wǎng)絡控制系統(tǒng)的概念、結(jié)構(gòu)以及其中存在的待解決的問題幾個方面進行了描述;然后,簡單介紹了離散事件觸發(fā)機制,并簡要綜述了預測控制的研究現(xiàn)狀;最后,列出了下文中將要用到的主要理論及引理,并介紹了本文的主要研究內(nèi)容。其次,分析與研究了具有時延的網(wǎng)絡控制系統(tǒng)的事件觸發(fā)控制策略。創(chuàng)設了基于離散事件觸發(fā)機制的時滯數(shù)學模型,利用Lyapunov-Krasovskii泛函和線性矩陣不等式方法,分析了時延相關(guān)系統(tǒng)的穩(wěn)定性,并設計了控制器,最終經(jīng)過仿真算例驗證了所提方法的可行性。最后,考慮帶有數(shù)據(jù)丟包的線性離散時間網(wǎng)絡化控制系統(tǒng),提出了新的基于事件觸發(fā)的預測控制機制,將事件觸發(fā)通信機制以及預測控制結(jié)合起來,通過事件觸發(fā)機制緩解通信信道壓力,節(jié)約網(wǎng)絡帶寬資源,由于這樣會在一定程度上降低系統(tǒng)的控制品質(zhì),而預測控制算法恰好能預先地對其進行補償,將二者折中,在主動補償了數(shù)據(jù)丟包獲得理想的控制性能的同時提高了網(wǎng)絡帶寬資源的利用率。利用Lyapunov穩(wěn)定性理論和LMI方法,推導出了確保整個閉環(huán)系統(tǒng)漸進穩(wěn)定的充分條件。并把這一機制推廣到帶有網(wǎng)絡誘導時延的離散時間線性系統(tǒng)的穩(wěn)定性問題上面。
[Abstract]:For networked control systems, how to adopt reasonable control algorithms and scheduling strategies can determine whether conflicts and congestion occur in the network to a large extent. Then reducing the influence of network induced delay and packet loss on the system plays an important role in improving the performance of networked control system. In recent years, event-triggered communication mechanism has attracted more and more attention because it can greatly improve the utilization of network resources, but this mechanism is at the expense of certain control performance. Predictive control algorithm can improve the control quality of the system to a certain extent, so it is meaningful to consider the compromise between the two aspects. The research contents of this paper mainly include the following aspects: first of all, the research background and significance of this subject are expounded, and the networked control system is briefly summarized, respectively from the concept of networked control system. The structure and the problems to be solved are described. Then, the trigger mechanism of discrete events is briefly introduced, and the research status of predictive control is briefly reviewed. finally, the main theories and Lemma that will be used in the following are listed, and the main research contents of this paper are introduced. Secondly, the event trigger control strategy of networked control system with delay is analyzed and studied. A time delay mathematical model based on discrete event trigger mechanism is created. The stability of delay dependent system is analyzed by using Lyapunov-Krasovskii functional and linear matrix inequality (LMI) method, and the controller is designed. Finally, the feasibility of the proposed method is verified by a simulation example. Finally, considering the linear discrete time networked control system with data packet loss, a new predictive control mechanism based on event trigger is proposed, which combines the event triggered communication mechanism with predictive control. Through the event trigger mechanism, the communication channel pressure is alleviated and the network bandwidth resources are saved. Because this will reduce the control quality of the system to a certain extent, the predictive control algorithm can compensate it in advance and compromise the two. It not only actively compensates the data packet loss to obtain the ideal control performance, but also improves the utilization of network bandwidth resources. By using Lyapunov stability theory and LMI method, the sufficient conditions to ensure the progressive stability of the whole closed-loop system are derived. This mechanism is extended to the stability of discrete-time linear systems with network-induced delays.
【學位授予單位】：蘭州理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP273
本文編號：2484088
[Abstract]:For networked control systems, how to adopt reasonable control algorithms and scheduling strategies can determine whether conflicts and congestion occur in the network to a large extent. Then reducing the influence of network induced delay and packet loss on the system plays an important role in improving the performance of networked control system. In recent years, event-triggered communication mechanism has attracted more and more attention because it can greatly improve the utilization of network resources, but this mechanism is at the expense of certain control performance. Predictive control algorithm can improve the control quality of the system to a certain extent, so it is meaningful to consider the compromise between the two aspects. The research contents of this paper mainly include the following aspects: first of all, the research background and significance of this subject are expounded, and the networked control system is briefly summarized, respectively from the concept of networked control system. The structure and the problems to be solved are described. Then, the trigger mechanism of discrete events is briefly introduced, and the research status of predictive control is briefly reviewed. finally, the main theories and Lemma that will be used in the following are listed, and the main research contents of this paper are introduced. Secondly, the event trigger control strategy of networked control system with delay is analyzed and studied. A time delay mathematical model based on discrete event trigger mechanism is created. The stability of delay dependent system is analyzed by using Lyapunov-Krasovskii functional and linear matrix inequality (LMI) method, and the controller is designed. Finally, the feasibility of the proposed method is verified by a simulation example. Finally, considering the linear discrete time networked control system with data packet loss, a new predictive control mechanism based on event trigger is proposed, which combines the event triggered communication mechanism with predictive control. Through the event trigger mechanism, the communication channel pressure is alleviated and the network bandwidth resources are saved. Because this will reduce the control quality of the system to a certain extent, the predictive control algorithm can compensate it in advance and compromise the two. It not only actively compensates the data packet loss to obtain the ideal control performance, but also improves the utilization of network bandwidth resources. By using Lyapunov stability theory and LMI method, the sufficient conditions to ensure the progressive stability of the whole closed-loop system are derived. This mechanism is extended to the stability of discrete-time linear systems with network-induced delays.
【學位授予單位】：蘭州理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP273
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