基于扰动观测器的混合动力系统频率调节高阶滑模控制器

IF 1.3 Q4 AUTOMATION & CONTROL SYSTEMS International Journal of Automation and Control Pub Date : 2023-01-01 DOI:10.1504/ijaac.2023.129387
Vivek Patel, Dipayan Guha, Shubhi Purwar
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引用次数: 2

摘要

讨论了用于隔离互联混合电力系统频率调节的高阶积分滑模控制器(HOISMC)。采用改进的拍打群算法(ISSA)对HOISMC参数进行并发调谐,以减轻系统振荡,提高系统在不确定扰动下的稳定性。为了提高滑模控制器的控制性能,减小抖振问题,设计并引入了扰动观测器来改进控制律。对ISSA的仿真结果进行了评估,并与现有优化技术和最新报告的结果进行了比较。对比研究证实了DO-HOISMC在抑制系统振荡方面优于其他控制器。此外,结合系统非线性和控制输入延迟,对DO-HOISMC的掌握程度进行了评估。最后,利用考虑参数不确定性的Kharitonov定理,验证了系统的闭环鲁棒稳定性。
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Disturbance observer-based higher-order sliding mode controller for frequency regulation of hybrid power systems
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.
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来源期刊
International Journal of Automation and Control
International Journal of Automation and Control AUTOMATION & CONTROL SYSTEMS-
自引率
41.70%
发文量
50
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
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