發(fā)布時間：2018-10-26 17:01

【摘要】：網(wǎng)絡(luò)控制系統(tǒng)是計算機網(wǎng)絡(luò)技術(shù)和控制理論融合的產(chǎn)物,它通過共享網(wǎng)絡(luò)信道把傳感器、控制器、執(zhí)行器連接起來形成閉環(huán)控制系統(tǒng),進(jìn)而實現(xiàn)信息的傳輸和交換。網(wǎng)絡(luò)控制系統(tǒng)憑借著成本低、易維護(hù)、易拓展、靈活性高等優(yōu)點廣泛應(yīng)用于航空航天、工業(yè)控制、飛行器設(shè)計等領(lǐng)域,網(wǎng)絡(luò)控制系統(tǒng)已成為當(dāng)前熱門研究方向。但是網(wǎng)絡(luò)的介入使得網(wǎng)絡(luò)控制系統(tǒng)不可避免的會遇到網(wǎng)絡(luò)誘導(dǎo)延遲、數(shù)據(jù)丟包、網(wǎng)絡(luò)帶寬的約束限制等問題。此外由于一些信號不易被編碼,需要引入量化器,不可避免的引入量化誤差的影響,這些問題都會導(dǎo)致控制性能的下降,因此對于網(wǎng)絡(luò)控制系統(tǒng)量化控制理論的研究就有著重要意義。本文考慮網(wǎng)絡(luò)誘導(dǎo)時延、數(shù)據(jù)丟包、量化、事件觸發(fā)機制等因素的影響,進(jìn)行網(wǎng)絡(luò)控制系統(tǒng)量化反饋控制器設(shè)計與仿真研究。本文的主要工作內(nèi)容如下:(1)考慮網(wǎng)絡(luò)誘導(dǎo)時延的影響,采用對數(shù)量化器分別對網(wǎng)絡(luò)控制系統(tǒng)的狀態(tài)信號和控制信號進(jìn)行量化,將量化誤差的影響轉(zhuǎn)化為扇形界下的不確定性,進(jìn)行量化控制器設(shè)計和H∞量化控制器設(shè)計。通過構(gòu)造Lyapunov函數(shù),應(yīng)用線性矩陣不等式(LMI)方法得到系統(tǒng)漸進(jìn)穩(wěn)定并具有H∞性能指標(biāo)γ的充分條件。最后,仿真驗證方法有效性。(2)考慮量化和網(wǎng)絡(luò)誘導(dǎo)時延對系統(tǒng)的影響,利用轉(zhuǎn)移概率部分未知的Markov鏈來描述數(shù)據(jù)丟包的隨機變化規(guī)律,將網(wǎng)絡(luò)控制系統(tǒng)建模成Markov跳變系統(tǒng),進(jìn)行量化控制器和H∞量化控制器的設(shè)計。通過構(gòu)建Lyapunov-Krasovskii泛函,應(yīng)用LMI方法得到系統(tǒng)隨機穩(wěn)定且具有H∞性能指標(biāo)γ的充分條件,并用錐補線性化算法對量化控制器進(jìn)行求解。最后,仿真驗證方法有效性。(3)考慮網(wǎng)絡(luò)誘導(dǎo)時延和量化的影響情況下,研究了基于事件觸發(fā)機制的網(wǎng)絡(luò)控制系統(tǒng)量化控制問題。通過構(gòu)造Lyapunov-Krasovskii泛函,應(yīng)用LMI方法得到系統(tǒng)漸進(jìn)穩(wěn)定的充分條件,并用錐補線性化算法對量化控制器進(jìn)行求解。最后,仿真驗證方法有效性。
[Abstract]:The networked control system is the product of the fusion of computer network technology and control theory. It connects sensors, controllers and actuators to form a closed-loop control system through shared network channels, and then realizes the transmission and exchange of information. With the advantages of low cost, easy maintenance, easy expansion and high flexibility, network control system has been widely used in aerospace, industrial control, aircraft design and other fields. Network control system has become a hot research direction. However, the network control system will inevitably encounter network induced delay, data packet loss, network bandwidth constraints and so on. In addition, because some signals are not easy to be coded, quantizer is needed, and the influence of quantization error is inevitable. These problems will lead to the deterioration of control performance. Therefore, it is of great significance to study the quantitative control theory of networked control system. Considering the influence of network induced delay, data packet loss, quantization and event trigger mechanism, the design and simulation of quantization feedback controller for networked control system are studied in this paper. The main work of this paper is as follows: (1) considering the influence of network-induced delay, quantizer is used to quantize the state signal and control signal of the networked control system. The influence of quantization error is transformed into the uncertainty under the sector bound, and the quantization controller and H 鈭，

本文編號：2296401