Embedded predictive control strategy based on Internet of Things technology: Application to a thermal process under imperfect wireless network

Abstract

<jats:p> This article is concerned with the design of wireless-networked control framework based on Internet of Things technology and predictive control strategy to remote control a thermal benchmark system. In order to improve the control performance of systems, an autonomous real-time solution is proposed for handling network problems. The adopted control strategy is divided into two cooperative parts under a master–slave architecture, in which two STM32 microcontrollers are investigated. The slave board is connected closely to the process and the master one is a distant controller. The microcontrollers communicate wirelessly through the Transmission Control Protocol/Internet Protocol. In the master board, a model predictive output-estimator-based controller is designed to control wirelessly the benchmark system, even though the incoming outputs from the slave board are lost. However, a buffered structure is implemented on the slave board to compensate the input losses of the arrived control sequences. The performance of the proposed wireless-networked predictive control compensation strategy for packet loss and perturbation handling in the wireless-networked control system in this work is verified through different experimentation conditions. Also, a comparative study with a wireless-networked proportional integral controller is performed to demonstrate the effectiveness of wireless-networked predictive control strategy for practical Internet of Things applications. </jats:p>

Integrated Wiring System of Intelligent Building Based on Internet of Things

“…Kouki et al said that at present, China's construction industry is developing rapidly. With the continuous progress of science and technology, intelligent buildings have been widely used and promoted, and there are more and more supporting weak current projects, and intelligent weak current design has also improved significantly [15]. Because of the importance of intelligent buildings, intelligent buildings in China have also flourished, especially represented by more developed cities such as China's coastal areas; after that, cities in other regions are not far behind, and smart buildings have also developed rapidly.…”