Full Text:   <640>

Summary:  <271>

Suppl. Mater.: 

CLC number: TP13

On-line Access: 2024-02-23

Received: 2023-09-14

Revision Accepted: 2024-02-23

Crosschecked: 2023-12-10

Cited: 0

Clicked: 970

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Shuqian ZHU

https://orcid.org/0000-0002-2560-1465

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.2 P.272-285

http://doi.org/10.1631/FITEE.2300625


Asynchronous gain-scheduled control of deepwater drilling riser system with hybrid event-triggered sampling and unreliable communication


Author(s):  Na PANG, Dawei ZHANG, Shuqian ZHU

Affiliation(s):  School of Mathematics, Shandong University, Jinan 250100, China

Corresponding email(s):   sqzhu@sdu.edu.cn

Key Words:  Riser system, Recoil control, Asynchronous gain-scheduled control, Data loss, Event-triggered scheme


Na PANG, Dawei ZHANG, Shuqian ZHU. Asynchronous gain-scheduled control of deepwater drilling riser system with hybrid event-triggered sampling and unreliable communication[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 272-285.

@article{title="Asynchronous gain-scheduled control of deepwater drilling riser system with hybrid event-triggered sampling and unreliable communication",
author="Na PANG, Dawei ZHANG, Shuqian ZHU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="25",
number="2",
pages="272-285",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300625"
}

%0 Journal Article
%T Asynchronous gain-scheduled control of deepwater drilling riser system with hybrid event-triggered sampling and unreliable communication
%A Na PANG
%A Dawei ZHANG
%A Shuqian ZHU
%J Frontiers of Information Technology & Electronic Engineering
%V 25
%N 2
%P 272-285
%@ 2095-9184
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300625

TY - JOUR
T1 - Asynchronous gain-scheduled control of deepwater drilling riser system with hybrid event-triggered sampling and unreliable communication
A1 - Na PANG
A1 - Dawei ZHANG
A1 - Shuqian ZHU
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 25
IS - 2
SP - 272
EP - 285
%@ 2095-9184
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300625


Abstract: 
This paper investigates the recoil control of the deepwater drilling riser system with nonlinear tension force and energy-bounded friction force under the circumstances of limited network resources and unreliable communication. Different from the existing linearization modeling method, a triangle-based polytope modeling method is applied to the nonlinear riser system. Based on the polytope model, to improve resource utilization and accommodate random data loss and communication delay, an asynchronous gain-scheduled control strategy under a hybrid event-triggered scheme is proposed. An asynchronous linear parameter-varying system that blends input delay and impulsive update equation is presented to model the nonlinear networked recoil control system, where the asynchronous deviation bounds of scheduling parameters are calculated. Resorting to the Lyapunov–Krasovskii functional method, some solvable conditions of disturbance attenuation analysis and recoil control design are derived such that the resulting networked system is exponentially mean-square stable with prescribed H performance. The obtained numerical results verified that the proposed nonlinear networked control method can achieve a better recoil response of the riser system with less transmission data compared with the linear control method.

混合事件触发采样和不可靠通信下深水钻井隔水管系统的异步增益调度控制

庞娜,张大伟,朱淑倩
山东大学数学学院,中国济南市,250100
摘要:针对受非线性张紧力和能量有界摩擦力影响的深水钻井隔水系统,本文研究了其在网络资源有限和不可靠通信情况下的反冲控制问题。不同于现有的线性化建模方法,本文将基于三角形的多面体建模方法应用于非线性隔水管系统。基于该多面体模型,为提高资源利用率并容许随机数据丢失和通信时延的发生,提出混合事件触发方案下一种异步增益调度控制策略。将非线性网络化反冲控制系统建模为带有输入时延和和脉冲更新方程的异步线性参变系统,并给出调度参数的异步偏差界计算方法。运用Lyapunov-Krasovskii泛函方法,提出干扰抑制分析和反冲控制器设计的一些可解条件。这些条件可以保证最终的网络化系统指数均方稳定且具有指定的性能。数值结果验证了所提出的非线性网络化控制相比于线性控制在使用较少通信数据的情况下能获得更好的反冲响应。

关键词:隔水管系统;反冲控制;异步增益调度控制;数据丢失;事件触发方案

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Chu SQ, Xie ZC, Wong PK, et al., 2022. Observer-based gain scheduling path following control for autonomous electric vehicles subject to time delay. Veh Syst Dyn, 60(5):1602-1626.

[2]Coutinho PHS, Palhares RM, 2021. Dynamic periodic event-triggered gain-scheduling control co-design for quasi-LPV systems. Nonl Anal Hybrid Syst, 41:101044.

[3]Dinh TQ, Ahn KK, Marco J, 2017. A novel robust predictive control system over imperfect networks. IEEE Trans Ind Electron, 64(2):1751-1761.

[4]Gao ZF, Wu T, Zhang DW, et al., 2022. Network-based gain-scheduled control for preview path tracking of autonomous electric vehicles subject to communication delays. Int J Syst Sci, 53(12):2549-2565.

[5]Gao ZF, Zhang DW, Zhu SQ, 2023. Hybrid event-triggered synchronization control of delayed chaotic neural net-works against communication delay and random data loss. Chaos Sol Fract, 172:113535.

[6]Ge XH, Han QL, Wang ZD, 2019. A dynamic event-triggered transmission scheme for distributed set-membership estimation over wireless sensor networks. IEEE Trans Cybern, 49(1):171-183.

[7]Ge XH, Han QL, Zhang XM, et al., 2020. Distributed even-ttriggered estimation over sensor networks: a survey. IEEE Trans Cybern, 50(3):1306-1320.

[8]Ge XH, Han QL, Zhang XM, et al., 2021. Dynamic event-triggered control and estimation: a survey. Int J Autom Comput, 18(6):857-886.

[9]Ge XH, Xiao SY, Han QL, et al., 2022. Dynamic event-triggered scheduling and platooning control co-design for automated vehicles over vehicular ad-hoc networks. IEEE/CAA J Autom Sin, 9(1):31-46.

[10]He WL, Mo ZK, Han QL, et al., 2020. Secure impulsive synchronization in Lipschitz-type multi-agent systems subject to deception attacks. IEEE/CAA J Autom Sin, 7(5):1326-1334.

[11]Hu SL, Yue D, Han QL, et al., 2020. Observer-based event-triggered control for networked linear systems subject to denial-of-service attacks. IEEE Trans Cybern, 50(5):1952-1964.

[12]Jiang YH, Wu W, Lou XY, et al., 2021. Event-based H control for piecewise-affine systems subject to actuator saturation. Front Inform Technol Electron Eng, 22(5):720-731.

[13]Li CW, Fan HH, Wang ZM, et al., 2016. Two methods for simulating mud discharge after emergency disconnection of a drilling riser. J Nat Gas Sci Eng, 28:142-152.

[14]Li WF, Xie ZC, Zhao J, et al., 2020. Velocity-based robust fault tolerant automatic steering control of autonomous ground vehicles via adaptive event triggered network communication. Mech Syst Signal Process, 143:106798.

[15]Liu J, Zhao HL, Liu QY, et al., 2018. Dynamic behavior of a deepwater hard suspension riser under emergency evacuation conditions. Ocean Eng, 150:138-151.

[16]Liu XQ, Li YW, Zhang N, et al., 2020. Improved axial dynamic analysis of risers based on finite element method and data-driven models. Ocean Eng, 214:107782.

[17]Liu XQ, Liu ZW, Wang XL, et al., 2021. Recoil control of deepwater drilling riser system based on optimal control theory. Ocean Eng, 220:108473.

[18]Liu XQ, Liu ZW, Wang XL, et al., 2022. An intelligent recoil controller for riser system based on fuzzy control theory. Int J Naval Archit Ocean Eng, 14:100439.

[19]Liu Y, Wang YN, Feng YH, et al., 2022. Neural networkbased adaptive boundary control of a flexible riser with input deadzone and output constraint. IEEE Trans Cybern, 52(12):13120-13128.

[20]Liu ZQ, Lou XY, Jia JJ, 2022. Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems. Front Inform Technol Electron Eng, 23(11):1684-1699.

[21]Ma H, Tang GY, Ding XQ, 2019. Modified-transformationbased networked controller for offshore platforms under multiple outloads. Ocean Eng, 190:106392.

[22]Meng S, Chen Y, Che CD, 2020. Coupling effects of a deep-water drilling riser and the platform and the discharging fluid column in an emergency disconnect scenario. China Ocean Eng, 34(1):21-29.

[23]Pestana RG, Roveri FE, Franciss R, et al., 2016. Marine riser emergency disconnection analysis using scalar elements for tensioner modelling. Appl Ocean Res, 59:83-92.

[24]Shi YC, Tian EG, Shen SB, et al., 2021. Adaptive memoryevent-triggered H control for network-based T-S fuzzy systems with asynchronous premise constraints. IET Contr Theory Appl, 15(4):534-544.

[25]Sun YN, Zou WC, Guo J, et al., 2021. Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes. Front Inform Technol Electron Eng, 22(1):107-119.

[26]Wang T, Liu YJ, 2018. Dynamic response of platformriser coupling system with hydro-pneumatic tensioner. Ocean Eng, 166:172-181.

[27]Wang XL, Liu XQ, Zhang N, et al., 2021. Improved recoil dynamic analysis of the deepwater riser system after emergency disconnection. Appl Ocean Res, 113:102719.

[28]Wang XL, Liu XQ, Liu ZW, et al., 2022. Dynamic recoil response of tensioner and riser coupled in an emergency disconnection scenario. Ocean Eng, 247:110730.

[29]Wang YB, Gao DL, 2019. Recoil analysis of deepwater drilling riser after emergency disconnection. Ocean Eng, 189:106406.

[30]Wei Y, Luo J, Yan HC, et al., 2021. Event-triggered adaptive finite-time control for nonlinear systems under asym-metric time-varying state constraints. Front Inform Technol Electron Eng, 22(12):1610-1624.

[31]Zhang BL, Cao EZ, Cai ZH, et al., 2021. Event-triggered H control for networked spar-type floating production platforms with active tuned heave plate mechanisms and deception attacks. J Franklin Inst, 358(7):3554-3584.

[32]Zhang DW, Han QL, Zhang XM, 2020. Network-based modeling and proportional-integral control for directdrive-wheel systems in wireless network environments. IEEE Trans Cybern, 50(6):2462-2474.

[33]Zhang W, Zhang BL, Han QL, et al., 2023a. Observer-based dynamic optimal recoil controller design for deepwater drilling riser systems. Ocean Eng, 267:113324.

[34]Zhang W, Zhang BL, Han QL, et al., 2023b. Recoil attenuation for deepwater drilling riser systems via delayed H control. ISA Trans, 133:248-261.

[35]Zhang XM, Han QL, Ge XH, et al., 2020. Networked control systems: a survey of trends and techniques. IEEE/CAA J Autom Sin, 7(1):1-17.

[36]Zhang XM, Han QL, Ge XH, 2022. A novel approach to H performance analysis of discrete-time networked systems subject to network-induced delays and malicious packet dropouts. Automatica, 136:110010.

[37]Zhang XM, Han QL, Ge XH, et al., 2023. Sampled-data control systems with non-uniform sampling: a survey of methods and trends. Annu Rev Contr, 55:70-91.

[38]Zhao YD, Sun YT, Zhang BL, et al., 2022a. Delay-feedbackbased recoil control for deepwater drilling riser systems. Int J Syst Sci, 53(12):2535-2548.

[39]Zhao YD, Sun YT, Zhang BL, et al., 2022b. Recoil control of deepwater drilling riser systems via optimal control with feedforward mechanisms. Ocean Eng, 257:111690.

[40]Zou L, Wang ZD, Gao HJ, 2016. Observer-based H control of networked systems with stochastic communication protocol: the finite-horizon case. Automatica, 63:366-373.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE