LEADER 04463nam 2200577 450 001 9910483039303321 005 20220916194830.0 010 $a3-030-47737-1 024 7 $a10.1007/978-3-030-47737-0 035 $a(CKB)4100000011232553 035 $a(MiAaPQ)EBC6198555 035 $a(DE-He213)978-3-030-47737-0 035 $a(PPN)248396226 035 $a(EXLCZ)994100000011232553 100 $a20200512d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHybrid PID based predictive control strategies for WirelessHART networked control systems /$fSabo Miya Hassan [et al.] 205 $a1st edition 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (xvi, 154 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v293 311 $a3-030-47736-3 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Filtered Predictive PI Controller for WirelessHART Networked Systems -- WirelessHART Networked Set-point Weighted Controllers -- Hybrid APSO?Spiral Dynamic Algorithm -- Hybrid ABFA-APSO Algorithm -- Comparison WirelessHART Networked systems. 330 $aRecent 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. 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v293 606 $aPID controllers 606 $aControl engineering 606 $aElectrical engineering 606 $aComputational intelligence 615 0$aPID controllers. 615 0$aControl engineering. 615 0$aElectrical engineering. 615 0$aComputational intelligence. 676 $a629.8 700 $aHassan$b Sabo Miya$4aut$4http://id.loc.gov/vocabulary/relators/aut$01229723 702 $aIbrahim$b Rosdiazli$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSaad$b Nordin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aBingi$b Kishore$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAsirvadam$b Vijanth Sagayan$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483039303321 996 $aHybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems$92854534 997 $aUNINA