| 书目名称 | Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems | | 编辑 | Sabo Miya Hassan,Rosdiazli Ibrahim,Vijanth Sagayan | | 视频video | http://file.papertrans.cn/431/430155/430155.mp4 | | 概述 | Presents a detailed study on PID based predictive control strategies for wireless networked control systems.Develops hybrid optimization algorithms based on the bacterial foraging algorithm - accelera | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | .Recent advances in wireless technology have led to the emergence of industry standards such as WirelessHART. These strategies minimise the need for cumbersome cabling, thereby reducing costs. However, applying them involves the challenge of handling stochastic network delays, which can degrade control performance. To address this problem, commonly used simple PID could be employed. However, PID suffers from gain range limitations when used in a delayed environment. Furthermore, model-based controllers are complex and require exact models of the process and systematic system identification for implementation. ..Therefore, to address these issues, the book proposes control strategies that retain the simplicity of PID in terms of ease of tuning and structure, while improving on the performance of the closed-loop system with regard to stochastic network delays and mismatches. Concretely, it proposes and discusses three strategies, namely: Setpoint Weighting (SW), Filtered Predictive PI (FPPI) and Optimal Fuzzy PID. In order to optimise some of these controllers, two novel hybrid optimisation algorithms combining the dynamism of the Bacterial Foraging Algorithm (BFA) and advantages of | | 出版日期 | Book 2020 | | 关键词 | Predictive Controller; PID Controller; WirelessHART; Set-point Weighting; Optimisation; Wireless Sensor N | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-47737-0 | | isbn_softcover | 978-3-030-47739-4 | | isbn_ebook | 978-3-030-47737-0Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | Springer Nature Switzerland AG 2020 |
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