论文部分内容阅读
针对大型工业现场水箱液位监控点分散的现状,设计了一种层次型网络拓扑结构的无线Wi-Fi传感网络中央监控系统。针对传统PID控制器对时变及非线性系统控制能力较差的缺陷,利用神经网络的自学习、自适应能力,设计了一种单神经元PID控制器,阐述了该控制器的控制特点及工程整定方法。将软件、硬件复合滤波器与单神经元PID控制器应用于无线传感网络中央监控系统中,实现了对分布式、复杂的多个水箱液位的集中管理与分布控制。结果表明,该系统稳定性、控制精度、响应速度均可以满足工业生产需求,并且很好的解决了有线控制网络的布线复杂、不易扩展、维护不便等缺陷。
In view of the current status of decentralized monitoring points of tank level in large industrial sites, a central monitoring system of wireless Wi-Fi sensor network with a hierarchical network topology is designed. Aiming at the defect that the traditional PID controller has poor control ability for time-varying and nonlinear systems, a single-neuron PID controller is designed based on the self-learning and self-adaptive ability of neural network. Engineering tuning method. The software and hardware composite filter and single neuron PID controller are applied to the central monitoring system of wireless sensor network, which realizes the centralized management and distributed control of distributed and complicated multiple tank liquid level. The results show that the system stability, control accuracy and response speed can meet the needs of industrial production, and a good solution to the wired control network wiring complexity, difficult to extend, maintenance inconvenience and other defects.