网络控制系统量化反馈与事件触发控制研究

发布时间：2018-10-26 17:01

【摘要】：网络控制系统是计算机网络技术和控制理论融合的产物,它通过共享网络信道把传感器、控制器、执行器连接起来形成闭环控制系统,进而实现信息的传输和交换。网络控制系统凭借着成本低、易维护、易拓展、灵活性高等优点广泛应用于航空航天、工业控制、飞行器设计等领域,网络控制系统已成为当前热门研究方向。但是网络的介入使得网络控制系统不可避免的会遇到网络诱导延迟、数据丢包、网络带宽的约束限制等问题。此外由于一些信号不易被编码,需要引入量化器,不可避免的引入量化误差的影响,这些问题都会导致控制性能的下降,因此对于网络控制系统量化控制理论的研究就有着重要意义。本文考虑网络诱导时延、数据丢包、量化、事件触发机制等因素的影响,进行网络控制系统量化反馈控制器设计与仿真研究。本文的主要工作内容如下:(1)考虑网络诱导时延的影响,采用对数量化器分别对网络控制系统的状态信号和控制信号进行量化,将量化误差的影响转化为扇形界下的不确定性,进行量化控制器设计和H∞量化控制器设计。通过构造Lyapunov函数,应用线性矩阵不等式(LMI)方法得到系统渐进稳定并具有H∞性能指标γ的充分条件。最后,仿真验证方法有效性。(2)考虑量化和网络诱导时延对系统的影响,利用转移概率部分未知的Markov链来描述数据丢包的随机变化规律,将网络控制系统建模成Markov跳变系统,进行量化控制器和H∞量化控制器的设计。通过构建Lyapunov-Krasovskii泛函,应用LMI方法得到系统随机稳定且具有H∞性能指标γ的充分条件,并用锥补线性化算法对量化控制器进行求解。最后,仿真验证方法有效性。(3)考虑网络诱导时延和量化的影响情况下,研究了基于事件触发机制的网络控制系统量化控制问题。通过构造Lyapunov-Krasovskii泛函,应用LMI方法得到系统渐进稳定的充分条件,并用锥补线性化算法对量化控制器进行求解。最后,仿真验证方法有效性。
[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，

本文编号：2296401