【作者】 王伟；

【导师】 杨鲲；

【作者基本信息】 电子科技大学 ， 电子信息（专业学位）， 2024， 硕士

【摘要】 近年来,随着5G等高速率、低延迟无线通信网络的广泛应用,小微企业和个人用户得以享受超可靠、超低时延的无线接入服务。这为物联网(Internet of Things,IoT)技术的发展创造了有利条件。相较于IoT,工业物联网(Industrial IoT,IIoT)的应用场景更加复杂、覆盖范围更为广阔,对通信质量和时延要求也更为苛刻。然而,传统控制方案难以满足控制系统对实时性的要求,严重影响工业生产活动的效率。为了解决无线通信和控制中存在的控制延迟高、成本大等问题,通信控制一体化系统(Integrated Communication and Control System,ICCS)应运而生。ICCS通过合理设计无线通信链路的数据传输策略,联合优化控制系统的编码信息和控制参数,从而有效降低了无线网络控制系统的时延,显著提高了系统的控制性能。在IIoT场景中,ICCS经常受到脉冲噪声干扰的影响,这对无线网络控制系统(Wireless Network Control System,WNCS)的性能构成了严重挑战。本文考虑针对脉冲噪声干扰下的WNCS,采用米德尔顿A类噪声(Middleton Class A Noise,MCAN)模型,在分别采用无编码和有编码控制方案下,使控制系统能够实现稳定控制和较高的性能。在无编码通信-控制一体化方案中,本文考虑了WNCS中存在感知噪声的场景,并分析了不同噪声类型或多种噪声叠加对系统控制性能的影响,通过最小化控制均方误差(Mean Square Error,MSE),得出在单控制对象和多控制对象下的最佳控制参数。而在基于编码的通信-控制一体化方案中,本文针对时延敏感的IIoT控制对象,旨在优化系统的控制时延。具体的,本文通过理论分析并求得MCAN信道模型的信道容量表达式,并根据有限长码块定理,求得MCAN模型下的数据传输速率。通过设计一种联合优化方法,使得控制系统能够以超低的时延实现稳定的控制,从而提高系统的通信和控制性能。最后,本文的研究内容填补了目前在WNCS中,鲜有文献针对脉冲噪声干扰下的通信控制一体化技术领域的研究空白,为实际IIoT场景中,通信控制一体化技术在WNCS的应用提供了理论依据。更多还原

【Abstract】 In recent years,with the wide application of high-rate and low-latency wireless communication networks such as 5G,small and micro enterprises and individual users can enjoy ultra-reliable and ultra-low latency wireless access services.This creates favorable conditions for the development of Internet of Things(IoT)technology.Compared with IoT,the application scenarios of Industrial IoT(IIoT)are more complex,the coverage is wider,and the communication quality and delay requirements are more stringent.However,traditional control schemes are difficult to meet the real-time requirements of control systems and seriously affect the efficiency of industrial production activities.In order to solve the problems of high control delay and high cost in wireless communication and control,integrated communication and control system(ICCS)emerges.ICCS designs the data transmission strategy of wireless communication link reasonably,optimizes the coding information and control parameters of control system jointly,thus effectively reduces the delay of wireless network control system and significantly improves the control performance of the system.In IIoT scenarios,ICCSs are usually affected by impulse noise interference,which seriously affects the control performance of wireless network control system(WNCS).In this thesis,we consider the Middleton Class A Noise(MCAN)model for WNCS with impulse noise interference,which enables the control system to achieve stable control and high performance under the codeless and coded control schemes,respectively.In the codeless communication-control integration scheme,this thesis considers the scenarios with perceptual noise in the WNCS and analyzes the effects of different noise types or multiple noise superimpositions on the control performance of the system,and derives the optimal control parameters under single and multiple control objects by minimizing the control mean square error(MSE).As for the coding-based communication-control integration scheme,this thesis aims to optimize the control delay of the system for delaysensitive IIoT control objects.Specifically,this thesis theoretically analyzes and finds the channel capacity expression of MCAN channel model,and finds the data transmission rate under MCAN model according to the finite-length code block theorem.By designing a joint optimization method,it enables the control system to achieve stable control with ultra-low delay,thus improving the communication and control performance of the system.Finally,the research content of this thesis fills the current research gap in the field of communication and control integration technology under impulse noise interference in WNCS,which is rarely documented in the literature,and provides a theoretical basis for the application of communication and control integration technology in WNCS in real IIoT scenarios.更多还原