{"title":"Disturbance observer-based higher-order sliding mode controller for frequency regulation of hybrid power systems","authors":"Vivek Patel, Dipayan Guha, Shubhi Purwar","doi":"10.1504/ijaac.2023.129387","DOIUrl":null,"url":null,"abstract":"This paper discusses a higher-order integral sliding mode controller (HOISMC) for frequency regulation of an isolated and interconnected hybrid power system. An improved slap swarm algorithm (ISSA) has been adopted and implemented for concurrent tuning of the HOISMC's parameter to alleviate system oscillations and improve system stability in the wake of uncertain perturbations. To enhance control performance and minimise the chattering problem of sliding mode controller, a disturbance observer is designed and incorporated to refine HOISMC's control law. Simulation outcomes of the ISSA have been evaluated and compare with existing optimisation technique and the results reported in the state-of-art. The comparative study confirms the superiority of DO-HOISMC over the others controllers in terms of damping system oscillations. Moreover, the mastery of the DO-HOISMC is assessed incorporating system nonlinearities and control input-delay. Finally, the closed-loop robust stability of the studied HPS has been affirmed by applying Kharitonov's theorem considering parametric uncertainties.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":"15 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automation and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijaac.2023.129387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 2
Abstract
This paper discusses a higher-order integral sliding mode controller (HOISMC) for frequency regulation of an isolated and interconnected hybrid power system. An improved slap swarm algorithm (ISSA) has been adopted and implemented for concurrent tuning of the HOISMC's parameter to alleviate system oscillations and improve system stability in the wake of uncertain perturbations. To enhance control performance and minimise the chattering problem of sliding mode controller, a disturbance observer is designed and incorporated to refine HOISMC's control law. Simulation outcomes of the ISSA have been evaluated and compare with existing optimisation technique and the results reported in the state-of-art. The comparative study confirms the superiority of DO-HOISMC over the others controllers in terms of damping system oscillations. Moreover, the mastery of the DO-HOISMC is assessed incorporating system nonlinearities and control input-delay. Finally, the closed-loop robust stability of the studied HPS has been affirmed by applying Kharitonov's theorem considering parametric uncertainties.
期刊介绍:
IJAAC addresses the evolution and realisation of the theory, algorithms, techniques, schemes and tools for any kind of automation and control platforms including macro, micro and nano scale machineries and systems, with emphasis on implications that state-of-the-art technology choices have on both the feasibility and practicability of the intended applications. This perspective acknowledges the complexity of the automation, instrumentation and process control methods and delineates itself as an interface between the theory and practice existing in parallel over diverse spheres. Topics covered include: -Control theory and practice- Identification and modelling- Mechatronics- Application of soft computing- Real-time issues- Distributed control and remote monitoring- System integration- Fault detection and isolation (FDI)- Virtual instrumentation and control- Fieldbus technology and interfaces- Agriculture, environment, health applications- Industry, military, space applications