Redundant Channels-Based SMC for Tidal Stream Turbine System: Handling Signal Transmission Packet Dropouts

IF 4.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Circuits and Systems II: Express Briefs Pub Date : 2024-06-20 DOI:10.1109/TCSII.2024.3417368
Runkun Li;Wenhai Qi;Ju H. Park;Jinde Cao;Zheng-Guang Wu
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Abstract

A novel redundant channels-based sliding mode control (SMC) strategy is proposed to overcome the adverse effects of packet dropouts during signal transmission of tidal stream turbine system. To deal with the random characteristics of water velocity, the tidal stream turbine model is modeled as semi-Markov jump system. Due to the change of environmental factors, the actual state information of tidal turbine system is usually difficult or impossible to obtain, and the output feedback method is adopted to estimate the state information. The novelty is that the output feedback method is adopted to design the sliding surface, combining with the redundant channels method to obtain the redundant channels-based SMC mechanism, which overcomes the influence of uncertain parameters and packet dropouts during the signal transmission. Based on the elapsed-time-dependent Lyapunov function and SMK framework, the $\sigma $ -error mean-square stability is realized. Furthermore, a suitable SMC method is constructed to realize the quasi-sliding mode. A simulation example is given to verify the effectiveness of the design method.
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基于冗余信道的潮汐流涡轮机系统 SMC:处理信号传输丢包
本文提出了一种基于冗余信道的新型滑模控制(SMC)策略,以克服潮汐流涡轮机系统信号传输过程中丢包的不利影响。为应对水流速度的随机特性,潮汐流水轮机模型被建模为半马尔可夫跃迁系统。由于环境因素的变化,潮汐水轮机系统的实际状态信息通常难以获得或无法获得,因此采用输出反馈法来估计状态信息。新颖之处在于采用输出反馈法设计滑动面,结合冗余信道法得到基于冗余信道的 SMC 机制,克服了信号传输过程中不确定参数和丢包的影响。基于与时间相关的 Lyapunov 函数和 SMK 框架,实现了 $\sigma $ 误差均方稳定性。此外,还构建了一种合适的 SMC 方法来实现准滑动模式。通过一个仿真实例验证了设计方法的有效性。
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来源期刊
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Circuits and Systems II: Express Briefs 工程技术-工程:电子与电气
CiteScore
7.90
自引率
20.50%
发文量
883
审稿时长
3.0 months
期刊介绍: TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: Circuits: Analog, Digital and Mixed Signal Circuits and Systems Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic Circuits and Systems, Power Electronics and Systems Software for Analog-and-Logic Circuits and Systems Control aspects of Circuits and Systems.
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