Overview
- 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 - accelerated PSO on one hand, and on the spiral dynamic algorithm - accelerated PSO on the other
- Provides both simulations and real-time examples of the control of processing plants using the control strategies developed here
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 293)
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Table of contents (6 chapters)
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Front Matter
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Hybrid PID Based WirelessHART Networked Control Strategies
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Front Matter
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Hybrid Metaheuristics Algorithm Based Controllers from WHNCS
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Front Matter
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Comparative Study of Various Controllers on WirelessHART Networked Systems
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Front Matter
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Back Matter
Keywords
About this book
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 both the Spiral Dynamic Algorithm (SDA) and the Accelerated Particle Swarm Optimisation (APSO) have been used. The strategies proposed here can also be applied in stochastic control scenarios (not necessarily wireless) characterised by uncertainties.
This book will be useful to engineers and researchers in both industry and academia. In industry, it will be particularly useful to research and development efforts where PID controllers and wireless sensor networks (WSNs) involving both short and long term stochastic network delay are employed. Thus, it can be used for real-time control design in these areas. In the academic setting, the book will be useful for researchers, undergraduate and graduate students of instrumentation and control. It can also be used as referencematerial for teaching courses on predictive and adaptive controls and their application.Authors and Affiliations
Bibliographic Information
Book Title: Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems
Authors: Sabo Miya Hassan, Rosdiazli Ibrahim, Nordin Saad, Kishore Bingi, Vijanth Sagayan Asirvadam
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-47737-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-47736-3Published: 13 May 2020
Softcover ISBN: 978-3-030-47739-4Published: 13 May 2021
eBook ISBN: 978-3-030-47737-0Published: 12 May 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVI, 154
Number of Illustrations: 27 b/w illustrations, 75 illustrations in colour
Topics: Control and Systems Theory, Communications Engineering, Networks, Computational Intelligence