{"title":"Super twisting controller using proportional integral‐based sliding surface for buck converter with disturbances","authors":"Ferhat Bodur, Orhan Kaplan","doi":"10.1002/asjc.3474","DOIUrl":null,"url":null,"abstract":"This paper proposes a super‐twisting controller based on a PI‐based surface for a buck converter with matched disturbance. Standard sliding mode control (SMC) has some well‐known drawbacks: the chattering effect and parameter restriction, which determines how quickly the controller accesses the sliding surface and the steady‐state error. First, the super‐twisting algorithm is employed in the control rule of the proposed controller to suppress the chattering effect. Then, parameter limitation, another deficiency of the SMC, has been eliminated by employing a PI‐based surface. The PI‐based surface also improves the controller's adjustment parameters by developing adaptability in parameter choices. The buck converter's dynamic response is enhanced by the addition of a novel parameter to the sliding surface of the suggested controller. Furthermore, Lyapunov stability analysis is described in order to evaluate the theoretical stability of the proposed controller. The efficacy of the suggested controller has been demonstrated through an array of simulations and an experimental configuration across various evaluation conditions. The simulation and experimental results show that the reference‐tracking capability is effective in the presence of disturbances. Furthermore, the proposed switching rule effectively eliminates the chattering effect. The suggested controller outperforms existing techniques in terms of both dynamic performance and disturbance robustness.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"148 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/asjc.3474","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a super‐twisting controller based on a PI‐based surface for a buck converter with matched disturbance. Standard sliding mode control (SMC) has some well‐known drawbacks: the chattering effect and parameter restriction, which determines how quickly the controller accesses the sliding surface and the steady‐state error. First, the super‐twisting algorithm is employed in the control rule of the proposed controller to suppress the chattering effect. Then, parameter limitation, another deficiency of the SMC, has been eliminated by employing a PI‐based surface. The PI‐based surface also improves the controller's adjustment parameters by developing adaptability in parameter choices. The buck converter's dynamic response is enhanced by the addition of a novel parameter to the sliding surface of the suggested controller. Furthermore, Lyapunov stability analysis is described in order to evaluate the theoretical stability of the proposed controller. The efficacy of the suggested controller has been demonstrated through an array of simulations and an experimental configuration across various evaluation conditions. The simulation and experimental results show that the reference‐tracking capability is effective in the presence of disturbances. Furthermore, the proposed switching rule effectively eliminates the chattering effect. The suggested controller outperforms existing techniques in terms of both dynamic performance and disturbance robustness.
本文针对具有匹配干扰的降压转换器,提出了一种基于 PI 表面的超扭曲控制器。标准滑模控制(SMC)存在一些众所周知的缺点:颤振效应和参数限制,参数限制决定了控制器进入滑动面的速度和稳态误差。首先,在拟议控制器的控制规则中采用了超扭曲算法来抑制颤振效应。然后,通过采用基于 PI 的曲面,消除了 SMC 的另一个不足--参数限制。基于 PI 的曲面还通过开发参数选择的适应性来改进控制器的调节参数。通过在建议控制器的滑动面上添加一个新参数,降压转换器的动态响应得到了增强。此外,还介绍了 Lyapunov 稳定性分析,以评估建议控制器的理论稳定性。通过一系列模拟和各种评估条件下的实验配置,证明了建议控制器的功效。仿真和实验结果表明,在存在干扰的情况下,参考跟踪能力是有效的。此外,建议的开关规则还能有效消除颤振效应。建议的控制器在动态性能和干扰鲁棒性方面都优于现有技术。
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.