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Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems (Hardcover, 1st ed. 2020)
Loot Price: R2,789
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Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems (Hardcover, 1st ed. 2020)
Series: Studies in Systems, Decision and Control, 293
Expected to ship within 10 - 15 working days
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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 reference
material for teaching courses on predictive and adaptive controls
and their application.
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