2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

线性参数变化系统建模与控制研究进展

王东风 朱为琦

王东风, 朱为琦. 线性参数变化系统建模与控制研究进展.自动化学报, 2021, 47(4): 780-790 doi: 10.16383/j.aas.c180718
引用本文: 王东风, 朱为琦. 线性参数变化系统建模与控制研究进展.自动化学报, 2021, 47(4): 780-790 doi: 10.16383/j.aas.c180718
Wang Dong-Feng, Zhu Wei-Qi. Advances in modeling and control of linear parameter varying systems. Acta Automatica Sinica, 2021, 47(4): 780-790 doi: 10.16383/j.aas.c180718
Citation: Wang Dong-Feng, Zhu Wei-Qi. Advances in modeling and control of linear parameter varying systems. Acta Automatica Sinica, 2021, 47(4): 780-790 doi: 10.16383/j.aas.c180718

线性参数变化系统建模与控制研究进展

doi: 10.16383/j.aas.c180718
基金项目: 

国家自然科学基金 71471060

中央高校基本科研业务费专项资金 2017MS130

详细信息
    作者简介:

    朱为琦  华北电力大学控制与计算机工程学院硕士研究生. 主要研究方向为线性参数变化系统建模与控制.E-mail: xcc951@163.com

    通讯作者:

    王东风  博士, 华北电力大学控制与计算机工程学院教授. 主要研究方向为群智能优化算法和智能控制, 线性参数变化系统建模与控制.本文通信作者.E-mail: wangdongfeng@ncepu.edu.cn

Advances in Modeling and Control of Linear Parameter Varying Systems

Funds: 

National Natural Science Foundation of China 71471060

Fundamental Research Funds for the Central Universities 2017MS130

More Information
    Author Bio:

    ZHU Wei-Qi  Master student at the School of Control and Computer Engineering, North China Electric Power University. His research interest covers modeling and control of linear parameter-varying system

    Corresponding author: WANG Dong-Feng  Ph. D., professor at the School of Control and Computer Engineering, North China Electric Power University. His research interest covers swarm intelligence-based optimization and intelligent control, modeling and control of linear parameter-varying system. Corresponding author of this paper
  • 摘要: 在描述实际系统的非线性和时变特性方面, 线性参数变化(Linear parameter varying, LPV)模型有着巨大的优越性, 对于使用一些成熟的线性系统控制理论来解决非线性系统的控制问题, 提供了良好的手段.文章对LPV系统的模型结构和建模方法, 模型参数辨识方法, 控制方法以及应用领域等方面的近几年的研究成果, 做了比较全面的总结和概括, 最后对LPV系统建模和控制的未来研究方向进行了展望.
    Recommended by Associate Editor FU Jun
    1)  本文责任编委 付俊
  • [1] 袁世通. 1000 MW超超临界机组建模理论与方法的研究[博士学位论文], 华北电力大学, 中国, 2015

    Yuan Shi-Tong. Research on Modeling Theory and Method for 1000 MW Ultra Supercritical Unit[Ph. D. dissertation], North China Electric Power University, China, 2015
    [2] Yin S, Luo H, Ding S X. Real-time implementation of fault-tolerant control systems with performance optimization. IEEE Transactions on Industrial Electronics, 2014, 61(5): 2402-2411 doi: 10.1109/TIE.2013.2273477
    [3] Shamma J S, Athans M. Guaranteed properties of gain scheduled control for linear parameter-varying plants. Automatica, 1991, 27(3): 559-564 doi: 10.1016/0005-1098(91)90116-J
    [4] Chang H, Krieger A, Astolfi A, Pistikopoulos E N. Robust multi-parametric model predictive control for LPV systems with application to anaesthesia. Journal of Process Control, 2014, 24(10): 1538-1547 doi: 10.1016/j.jprocont.2014.07.005
    [5] Toth R, Lyzell C, Enqvist M, Heuberger P S C, Van den Hof P M J. Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach. In: Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly with 2009 28th Chinese Control Conference. Shanghai, China: IEEE, 2009. 7406-7411
    [6] Lipták G, Luspay T, Péni T, Takarics B, Vanek B. LPV model reduction methods for aeroelastic structures. IFAC-PapersOnLine, 2017, 50(1): 6344-6349 doi: 10.1016/j.ifacol.2017.08.1015
    [7] Wang D F, Yuan S T. Identification of LPV model for superheated steam temperature system using A-QPSO. Simulation Modelling Practice and Theory, 2016, 69: 1-13 doi: 10.1016/j.simpat.2016.08.009
    [8] 杨宪强. 线性参数变化系统辨识方法研究[博士学位论文], 哈尔滨工业大学, 中国, 2014

    Yang Xian-Qiang. Identification of Linear Parameter Variation System[Ph. D. dissertation], Harbin Institute of Technology, China, 2014
    [9] Laurain V, Gilson M, Tóth R, Garnier H. Refined instrumental variable methods for identification of LPV Box-Jenkins models. Automatica, 2010, 46(6): 959-967 doi: 10.1016/j.automatica.2010.02.026
    [10] Yang X Q, Huang B, Zhao Y J, Lu Y J, Xiong W L, Gao H J. Generalized expectation-maximization approach to LPV process identification with randomly missing output data. Chemometrics and Intelligent Laboratory Systems, 2015, 148: 1-8 doi: 10.1016/j.chemolab.2015.08.013
    [11] Wang Y, Bevly D M, Rajamani R. Interval observer design for LPV systems with parametric uncertainty. Automatica, 2015, 60(1): 79-85 http://www.sciencedirect.com/science/article/pii/s0005109815002770
    [12] Schulz E, Cox P B, Toth R, Werner H. LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods. In: Proceedings of the IEEE 56th Annual Conference on Decision and Control (CDC). Melbourne, Australia: IEEE, 2017. 3575-3581
    [13] Felici F, van Wingerden J W, Verhaegen M. Subspace identification of MIMO LPV systems using a periodic scheduling sequence. Automatica, 2007, 43(10): 1684-1697 doi: 10.1016/j.automatica.2007.02.027
    [14] Paijmans B, Symens W, van Brussel H, Swevers J. Identification of interpolating affine LPV models for mechatronic systems with one varying parameter. European Journal of Control, 2008, 14(1): 16-29 doi: 10.3166/ejc.14.16-29
    [15] Goos J, Lataire J, Pintelon R. Estimation of linear parameter-varying affine state space models using synchronized periodic input and scheduling signals. In: Proceedings of the 2014 American Control Conference. Portland, USA: IEEE, 2014. 3754-3759
    [16] Wassink M G, van de Wal M, Scherer C, Bosgra O. LPV control for a wafer stage: Beyond the theoretical solution. Control Engineering Practice, 2005, 13(2): 231-245 doi: 10.1016/j.conengprac.2004.03.008
    [17] Marcos A, Balas G J. Development of linear-parameter-varying models for aircraft. Journal of Guidance Control Dynamics, 2004, 27(2): 218-228 doi: 10.2514/1.9165
    [18] Mercére G, Palsson H, Poinot T. Continuous-time linear parameter-varying identification of a cross flow heat exchanger: A local approach. IEEE Transactions on Control Systems Technology, 2011, 19(1): 64-76 doi: 10.1109/TCST.2010.2071874
    [19] Zhu Y C, Xu Z H. A method of LPV model identification for control. IFAC Proceedings Volumes, 2008, 41(2): 5018-5023 doi: 10.3182/20080706-5-KR-1001.00843
    [20] Lei C, Tulsyan A, Huang B, Liu F. Multiple model approach to nonlinear system identification with an uncertain scheduling variable using EM algorithm. Journal of Process Control, 2013, 3(10): 1480-1496 http://www.sciencedirect.com/science/article/pii/S0959152413001820
    [21] Chen L, Khatibisepehr S, Huang B, Liu F, Ding Y S. Nonlinear process identification in the presence of multiple correlated hidden scheduling variables with missing data. AIChE Journal, 2015, 61(10): 3270-3287 doi: 10.1002/aic.14866
    [22] Xu Z H, Zhao J, Qian J X, Zhu Y C. Nonlinear MPC using an identified LPV model. Industrial & Engineering Chemistry Research, 2009, 48(6): 3043-3051 doi: 10.1021/ie801057q
    [23] Toth R, Abbas H S, Werner H. On the state-space realization of LPV input-output models: Practical approaches. IEEE Transactions on Control Systems Technology, 2012, 20(1): 139-153 http://ieeexplore.ieee.org/document/5714737
    [24] Duarte R F M, Pool D M, van Paassen M M, Mulder M. Experimental scheduling functions for global LPV human controller modeling. IFAC-PapersOnLine, 2017, 50(1): 15853-15858 doi: 10.1016/j.ifacol.2017.08.2329
    [25] De Caigny J, Pintelon R, Camino J F, Swevers J. Interpolated modeling of LPV systems. IEEE Transactions on Control Systems Technology, 2014, 22(6): 2232-2246 doi: 10.1109/TCST.2014.2300510
    [26] Bamieh B, Giarre L. Identification of linear parameter varying models. In: Proceedings of the 38th IEEE Conference on Decision and Control. Phoenix, USA: IEEE, 1999. 1505-1510
    [27] Bamieh B, Giarré L. Identification of linear parameter varying models. International Journal of Robust and Nonlinear Control, 2002, 12(9): 841-853 doi: 10.1002/rnc.706
    [28] Zhao Y, Huang B, Su H Y, Chu J. Prediction error method for identification of LPV models. Journal of Process Control, 2012, 22(1): 180-193 doi: 10.1016/j.jprocont.2011.09.004
    [29] Golabi A, Meskin N, Tóth R, Mohammadpour J. A Bayesian approach for LPV model identification and its application to complex processes. IEEE Transactions on Control Systems Technology, 2017, 25(6): 2160-2167 doi: 10.1109/TCST.2016.2642159
    [30] van Wingerden J W, Verhaegen M. Subspace identification of Bilinear and LPV systems for open- and closed-loop data. Automatica, 2009, 45(2): 372-381 doi: 10.1016/j.automatica.2008.08.015
    [31] Cerone V, Piga D, Regruto D. Convex relaxation techniques for set-membership identification of LPV systems. In: Proceedings of the 2011 American Control Conference. San Francisco, USA: IEEE, 2011. 171-176
    [32] 王红茹. 动态系统的鲁棒故障检测与分离方法研究[博士学位论文], 哈尔滨工业大学, 中国, 2006

    Wang Hong-Ru. Study on Robust Fault Detection and Isolation for Dynamic Systems[Ph. D. dissertation], Harbin Institute of Technology, China, 2006
    [33] Jin X, Huang B, Shook D S. Multiple model LPV approach to nonlinear process identification with EM algorithm. Journal of Process Control, 2011, 21(1): 182-193 doi: 10.1016/j.jprocont.2010.11.008
    [34] Yang X Q, Huang B, Gao H J. A direct maximum likelihood optimization approach to identification of LPV time-delay systems. Journal of the Franklin Institute, 2016, 353(8): 1862-1881 doi: 10.1016/j.jfranklin.2016.03.005
    [35] Gopaluni R B. A particle filter approach to identification of nonlinear processes under missing observations. Canadian Journal of Chemical, 2008, 86(6): 1081-1092 doi: 10.1002/cjce.20113
    [36] Deng J, Huang B. Identification of nonlinear parameter varying systems with missing output data. AIChE Journal, 2012, 58(11): 3454-3467 doi: 10.1002/aic.13735
    [37] Liu X, Wang Z Y, Yang X Q. EM-based global identification of LPV ARX models with a noisy scheduling variable. In: Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society. Beijing, China: IEEE, 2017. 6875-6880
    [38] Yang X Q, Yang X B. Local identification of LPV dual-rate system with random measurement delays. IEEE Transactions on Industrial Electronics, 2018, 65(2): 1499-1507 doi: 10.1109/TIE.2017.2733465
    [39] Yan W G, Zhu Y C, Zhu L Y, Liu X. Identification of systems with slowly sampled outputs using LPV model. Computers & Chemical Engineering, 2018, 112: 316-330 http://www.sciencedirect.com/science/article/pii/S0098135418300899
    [40] Hooshmandi K, Bayat F, Jahed-Motlagh M R, Jalali A A. Robust sampled-data control of non-linear LPV systems: Time-dependent functional approach. IET Control Theory & Applications, 2018, 12(9): 1318-1331 doi: 10.1049/iet-cta.2017.0980
    [41] Sun W C, Zhao Y, Li J F, Zhang L X, Gao H J. Active suspension control with frequency band constraints and actuator input delay. IEEE Transactions on Industrial Electronics, 2012, 59(1): 530-537 doi: 10.1109/TIE.2011.2134057
    [42] Ferdowsi H, Jagannathan S, Zawodniok M. An online outlier identification and removal scheme for improving fault detection performance. IEEE Transactions on Neural Networks and Learning Systems, 2014, 5(5): 908-919 http://ieeexplore.ieee.org/document/6658905
    [43] Yang X Q, Lu Y J, Yan Z B. Robust global identification of linear parameter varying systems with generalised expectation - maximisation algorithm. IET Control Theory & Applications, 2015, 9(7): 1103-1110 http://ieeexplore.ieee.org/document/7101008/references
    [44] Yang X Q, Sun H, Bai L F, Liu X. Identification of linear parameter varying system with dual-rate sampled data and uncertain measurement delay. In: Proceedings of the IEEE 25th International Symposium on Industrial Electronics (ISIE). Santa Clara, USA: IEEE, 2016. 95-99
    [45] Apkarian P, Gahinet P, Becker G. Self-scheduled $H_{\infty}$ linear parameter-varying systems. In: Proceedings of the 1994 American Control Conference. Baltimore, USA: IEEE, 1994. 856-860
    [46] Bianchi F D, Kunusch C, Ocampo-Martinez C, Sánchez-Peña R S. A gain-scheduled LPV control for oxygen stoichiometry regulation in PEM Fuel Cell systems. IEEE Transactions on Control Systems Technology, 2014, 22(5): 1837-1844 doi: 10.1109/TCST.2013.2288992
    [47] Dabiri A, Kulcsár B, Köroǧlu H. Distributed LPV state-feedback control under control input saturation. IEEE Transactions on Automatic Control, 2017, 62(5): 2450-2456 doi: 10.1109/TAC.2016.2598967
    [48] Wang J L, Wang C H, Li Y H, Gao H J. Novel $l_2-l_{\infty}$ controller design for LPV discrete time-delay systems. Systems Engineering and Electronics, 2005, 16(1): 128-133
    [49] Robert D, Sename O, Simon D. An $H_{\infty}$ LPV design for sampling varying controllers: Experimentation with a T-Inverted pendulum. IEEE Transactions on Control Systems Technology, 2010, 18(3): 741-749 doi: 10.1109/TCST.2009.2026179
    [50] 姜伟, 王宏力, 陆敬辉, 秦伟伟, 蔡光斌. 连续时间多胞线性变参数系统变增益$H_{\infty}$/$H_2$输出反馈控制. 控制理论与应用, 2016, 33(9): 1225-1235 https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201810004.htm

    Jiang Wei, Wang Hong-Li, Lu Jing-Hui, Qin Wei-Wei, Cai Guang-Bin. Gain-scheduled $H_{\infty}$/$H_2$ output feedback controller synthesis for continuous-time polytopic linear parameter varying systems. Control Theory & Applications, 2016, 33(9): 1225-1235 https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201810004.htm
    [51] Jabali M B A, Kazemi M H. A new polytopic modeling with uncertain vertices and robust control of robot manipulators. Journal of Control, Automation and Electrical Systems, 2017, 28(8): 349-357 doi: 10.1007/s40313-017-0309-z
    [52] 黄金杰, 潘晓真. 多胞LPV模型的Buck变换器鲁棒增益调度控制. 电机与控制学报, 2018, 22(1): 93-99 https://www.cnki.com.cn/Article/CJFDTOTAL-DJKZ201801014.htm

    Huang Jin-Jie, Pan Xiao-Zhen. Robust gain scheduling control for Buck converter based on polytopic LPV model. Electric Machines and Control, 2018, 22(1): 93-99 https://www.cnki.com.cn/Article/CJFDTOTAL-DJKZ201801014.htm
    [53] Lim S. Analysis and control of linear parameter varying systems. Dissertation Abstracts International, 1998, 60(4): 1718-1720
    [54] Xie J, Zhao J. Model reference adaptive control for switched LPV systems and its application. IET Control Theory & Applications, 2016, 10(17): 2204-2212 http://ieeexplore.ieee.org/document/7740213/
    [55] Huang Y Q, Sun C Y, Qian C S, Wang L. Non-fragile switching tracking control for a flexible air-breathing hypersonic vehicle based on polytopic LPV model. Chinese Journal of Aeronautics, 2013, 26(4): 948-959 doi: 10.1016/j.cja.2013.04.036
    [56] Zhu K W, Zhao J, Dimirovski G M. $H_{\infty}$ tracking control for switched LPV systems with an application to aero-engines. IEEE/CAA Journal of Automatica Sinica, 2018, 5(3): 699-705 doi: 10.1109/JAS.2016.7510025
    [57] Cao Y Y, Lin Z L. Min-max MPC algorithm for LPV systems subject to input saturation. IEE Proceedings-Control Theory and Applications, 2005, 152(3): 266-272 doi: 10.1049/ip-cta:20041314
    [58] Casavola A, Famularo D, Franzé G, Garone E. An off-line MPC scheme for discrete-time linear parameter varying systems. In: Proceedings of the 2009 European Control Conference (ECC). Budapest, Hungary: IEEE, 2015. 23-26
    [59] Abbas H S, Tóth R, Meskin N, Mohammadpour J, Hanema J. A robust MPC for input-output LPV models. IEEE Transactions on Automatic Control, 2016, 61(12): 4183-4188 doi: 10.1109/TAC.2016.2553143
    [60] Li D W, Xi Y G. The feedback robust MPC for LPV systems with bounded rates of parameter changes. IEEE Transactions on Automatic Control, 2010, 55(2): 503-507 doi: 10.1109/TAC.2009.2037464
    [61] Rotondo D, Puig V, Nejjari F, Witczak M. Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models. Fuzzy Sets and Systems, 2015, 277: 44-64 doi: 10.1016/j.fss.2015.02.002
    [62] Wu H M, Tafreshi R. Air-fuel ratio control of lean-burn SI engines using the LPV-based fuzzy technique. IET Control Theory & Applications, 2018, 12(10): 1414-1420 http://ieeexplore.ieee.org/document/8375212/
    [63] Hu Y, Liu J Z, Lin Z W. LPV T-S fuzzy gain scheduling control of WTGS below rated wind speed. In: Proceedings of the 26th Control and Decision Conference (2014 CCDC). Changsha, China: IEEE, 2014. 3328-3333
    [64] 崔平. LPV系统的鲁棒故障估计与主动容错控制[博士学位论文], 上海交通大学, 中国, 2008

    Cui Ping. Robust Fault Estimation and Active Fault Tolerant Control for Linear Parameter Varying Systems[Ph. D. dissertation], Shanghai Jiao Tong University, China, 2008
    [65] Houimli R, Bedioui N, Besbes M. An improved polytopic adaptive LPV observer design under actuator fault. International Journal of Control, Automation and Systems, 2018, 16(1): 168-180 doi: 10.1007/s12555-016-0504-x
    [66] Nguyen M Q, Sename O, Dugard L. An LPV fault tolerant control for semi-active suspension - scheduled by fault estimation. IFAC-PapersOnLine, 2015, 48(21): 42-47 doi: 10.1016/j.ifacol.2015.09.502
    [67] 李文强, 马建军, 李鹏, 郑志强. 基于LPV的变增益控制技术及其在航空航天领域的应用. 航空兵器, 2009, (2): 8-12, 17 doi: 10.3969/j.issn.1673-5048.2009.02.002

    Li Wen-Qiang, Ma Jian-Jun, Li Peng, Zheng Zhi-Qiang. Variable gain control based on LPV and the application in Aerospace. Aero Weaponry, 2009, (2): 8-12, 17 doi: 10.3969/j.issn.1673-5048.2009.02.002
    [68] 赵兴锋. 飞行控制律鲁棒性分析研究与实现[博士学位论文], 国防科学技术大学, 中国, 2014

    Zhao Xing-Feng. Research and Realization on Robustness Analysis of Flight Control Laws[Ph. D. dissertation], National University of Defense Technology, China, 2014
    [69] 贺跃帮. 小型无人直升机鲁棒非线性控制研究[博士学位论文], 华南理工大学, 中国, 2013

    He Yue-Bang. Research on Robust Nonlinear Control for Small-Scale Unmanned Helicopter[Ph. D. dissertation], South China University of Technology, China, 2013
    [70] 杨贯通. 变外形飞行器建模与控制方法研究[博士学位论文], 北京理工大学, 中国, 2015

    Yang Guan-Tong. Research on Modeling and Control of Morphing Flight Vehicles[Ph. D. dissertation], Beijing Institute of Technology, China, 2015
    [71] 白瑜亮. 多介质环境下潜射导弹动力学及非线性控制方法研究[博士学位论文], 哈尔滨工业大学, 中国, 2013

    Bai Yu-Liang. Research on the Dynamics and Nonlinear Control of the Submarine-Launched Missile in Multimedia Environment[Ph. D. dissertation], Harbin Institute of Technology, China, 2013
    [72] Tan W, Packard A K, Balas G J. Quasi-LPV modeling and LPV control of a generic missile. In: Proceedings of the 2000 American Control Conference. Chicago, USA: IEEE, 2000. 3692-3696
    [73] Li S Q, Zhang S X. A modified LPV modeling technique for turbofan engine control system. In: Proceedings of the 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). Taiyuan, China: IEEE, 2010. 99-102
    [74] 逢洪军. 高超声速飞行器气动弹性建模与鲁棒变增益控制[博士学位论文], 哈尔滨工业大学, 中国, 2015

    Pang Hong-Jun. Aeroelasticity Modeling and Robust Gain-Scheduling Control of Hypersonic Vehicle[Ph. D. dissertation], Harbin Institute of Technology, China, 2015
    [75] 邵朋院. 大尺度变参数无人机鲁棒变增益控制方法研究[博士学位论文], 西北工业大学, 中国, 2016

    Shao Peng-Yuan. Robust Gain-Scheduling Control of UAV with Parameter Varying in Large Scale[Ph. D. dissertation], Northwestern Polytechnical University, China, 2016
    [76] Bianchi F D, Battista H D, Mantz R J. Robust multivariable gain-scheduled control of wind turbines for variable power production. International Journal of Systems Control, 2010, 1(3): 103-112 http://www.researchgate.net/publication/260098958_Robust_multivariable_gain-scheduled_control_of_wind_turbines_for_variable_power_production
    [77] Ruiz F, Vuelvas J, Novara C. LPV model identification for a web winding system. IFAC Proceedings Volumes, 2012, 45(16): 1779-1784 doi: 10.3182/20120711-3-BE-2027.00341
    [78] Shi F M, Patton R. An active fault tolerant control approach to an offshore wind turbine model. Renewable Energy, 2015, 75: 788-798 doi: 10.1016/j.renene.2014.10.061
    [79] Inthamoussou F A, De Battista H, Mantz R J. LPV-based active power control of wind turbines covering the complete wind speed range. Renewable Energy, 2016, 99: 996-1007 doi: 10.1016/j.renene.2016.07.064
    [80] Castro R S, Salton A T, Flores J V, Kinnaert M, Coutinho D F. Variable frequency resonant controller for load reduction in wind turbines. Control Engineering Practice, 2017, 66: 76-88 doi: 10.1016/j.conengprac.2017.06.007
    [81] Schaab K, Hahn J, Wolkov M, Stursberg O. Robust control for voltage and transient stability of power grids relying on wind power. Control Engineering Practice, 2017, 60: 7-17 doi: 10.1016/j.conengprac.2016.12.003
    [82] Tong X, Zhao X W. Power generation control of a monopile hydrostatic wind turbine using an $H_{\infty}$ loop-shaping torque controller and an LPV Pitch controller. IEEE Transactions on Control Systems Technology, 2018, 26(6): 2165-2172 doi: 10.1109/TCST.2017.2749562
    [83] van der Veen G, van Wingerden J W, Verhaegen M. Global identification of wind turbines using a hammerstein identification method. IEEE Transactions on Control Systems Technology, 2013, 21(4): 1471-1478 doi: 10.1109/TCST.2012.2205929
    [84] Ali H S, Darouach M, Zasadzinski M, Alma M. An $H_{\infty}$ LPV control for a class of LPV systems using a descriptor approach: Application to a wind turbine mode. IFAC-PapersOnLine, 2015, 48(26): 213-217 doi: 10.1016/j.ifacol.2015.11.139
    [85] 胡阳. 基于T-S模糊线性化的风力发电系统增益调度控制研究[博士学位论文], 华北电力大学, 中国, 2015

    Hu Yang. Research on Gain Scheduling Control of Wind Turbine Generation System based on T-S Fuzzy Linearization[Ph. D. dissertation], North China Electric Power University, China, 2015
    [86] Liu Q, Vittal V, Elia N. Expansion of system operating range by an interpolated LPV FACTS controller Using multiple Lyapunov functions. IEEE Transactions on Power Systems, 2006, 21(3): 1311-1320 doi: 10.1109/TPWRS.2006.876688
    [87] He R, Liu K Z, Mei S W. LPV modelling and gain-scheduled control approach for the transient stabilization of power systems. IEEJ Transactions on Electrical and Electronic Engineering, 2010, 5(1): 87-95 doi: 10.1002/tee.20498
    [88] Schaab K, Stursberg O. Decentralized robust control of power grids using LPV-models of DAE-systems. IFAC-PapersOnLine, 2015, 48(26): 218-223 doi: 10.1016/j.ifacol.2015.11.140
    [89] Jabali M B A, Kazemi M H. A new LPV modeling approach using PCA-based parameter set mapping to design a PSS. Journal of Advanced Research, 2017, 8(1): 23-32 doi: 10.1016/j.jare.2016.10.006
    [90] Fergani S, Sename O, Dugard L. An LPV/$H_{\infty}$ integrated vehicle dynamic controller. IEEE Transactions on Vehicular Technology, 2016, 65(4): 1880-1889 doi: 10.1109/TVT.2015.2425299
    [91] Ifqir S, Oufroukh N A, Ichalal D, Mammar S. Interval observer for LPV systems: Application to vehicle lateral dynamics. IFAC-PapersOnLine, 2017, 50(1): 7572-7577 doi: 10.1016/j.ifacol.2017.08.995
    [92] Nguyen A T, Chevrel P, Claveau F. On the effective use of vehicle sensors for automatic lane keeping via LPV static output feedback control. IFAC-PapersOnLine, 2017, 50(1): 13808-13815 doi: 10.1016/j.ifacol.2017.08.2072
    [93] Jia F J, Liu Z Y. A LPV traction control approach for independent in-wheel electric motor vehicle. In: Proceedings of the 11th World Congress on Intelligent Control and Automation. Shenyang, China: IEEE, 2014. 1992-1997
    [94] Kang C M, Lee S H, Chung C C. Discrete-time LPV $H_2$ observer with nonlinear bounded varying parameter and its application to the vehicle state observer. IEEE Transactions on Industrial Electronics, 2018, 65(11): 8768-8777 doi: 10.1109/TIE.2018.2813961
    [95] Yang S, Sultan C. LPV control of a tensegrity-membrane system. Mechanical Systems and Signal Processing, 2017, 95: 397-424 doi: 10.1016/j.ymssp.2017.03.027
    [96] Fleps-Dezasse M, Bünte T, Svaricek F, Brembeck J. LPV feedforward control of semi-active suspensions for improved roll stability. Control Engineering Practice, 2018, 78(1): 1-11 http://www.sciencedirect.com/science/article/pii/S0967066118301394
    [97] Alaridh I, Aitouche A, Zemouche A, Boulkroune B. LPV unknown input observer for vehiclelateral dynamics. In: Proceedings of the 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). Sousse, Tunisia: IEEE, 2016. 187-192
    [98] 王刚. 电动汽车悬架系统主动控制策略研究[博士学位论文], 沈阳工业大学, 中国, 2017

    Wang Gang. Study on Active Control Strategy for Suspension Systems of Electric Vehicle[Ph. D. dissertation], Shenyang University of Technology, China, 2017
    [99] 张荣芸. 基于EPS/ESP的汽车横向运动稳定性及其混沌控制研究[博士学位论文], 合肥工业大学, 中国, 2015

    Zhang Rong-Yun. Research on the Stability of the Automobile Lateral Motion and Its Chaos Control Based on EPS/ESP[Ph. D. dissertation], Hefei University of Technology, China, 2015
    [100] 张勇超. 车辆电磁主动悬架鲁棒控制研究[博士学位论文], 上海交通大学, 中国, 2012

    Zhang Yong-Chao. Study on Robust Control for Vehicle Active Electromagnetic Suspension[Ph. D. dissertation], Shanghai Jiao Tong University, China, 2012
    [101] Alcala E, Puig V, Quevedo J, Escobet T, Comasolivas R. Autonomous vehicle control using a kinematic Lyapunov-based technique with LQR-LMI tuning. Control Engineering Practice, 2018, 73: 1-12 doi: 10.1016/j.conengprac.2017.12.004
    [102] Cauet S, Coirault P, Njeh M. Diesel engine torque ripple reduction through LPV control in hybrid electric vehicle powertrain: Experimental results. Control Engineering Practice, 2013, 21(12): 1830-1840 doi: 10.1016/j.conengprac.2013.03.005
    [103] Bosche J, Rabhi A, El Hajjaji A. A robust stabilization method for a saturated LPV system: Application to the lateral dynamics of vehicles. IFAC-PapersOnLine, 2017, 50(1): 3732-3737 doi: 10.1016/j.ifacol.2017.08.571
    [104] Bachnas A A, Tóth R, Ludlage J H A, Mesbah A. A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study. Journal of Process Control, 2014, 24(4): 272-285 doi: 10.1016/j.jprocont.2014.01.015
    [105] Prempain E, Postlethwaite I, Benchaib A. A linear parameter variant $H_{\infty}$ control design for an induction motor. Control Engineering Practice, 2002, 10(6): 633-644 doi: 10.1016/S0967-0661(02)00024-2
    [106] Lu B, Choi H, Buckner G D, Tammi K. Linear parameter-varying techniques for control of a magnetic bearing system. Control Engineering Practice, 2008, 16(10): 1161-1172 doi: 10.1016/j.conengprac.2008.01.002
    [107] Wijnheijmer F, Naus G, Post W, Steinbuch M, Teerhuis P. Modelling and LPV control of an electro-hydraulic servo system. In: Proceedings of the 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control. Munich, Germany: IEEE, 2006. 3116-3121
    [108] 袁士春. 船舶运动与主推进线性变参数联合控制的研究[博士学位论文], 大连海事大学, 中国, 2007

    Yuan Shi-Chun. A Study on the Integrated Control of Ship Motion and Main Propulsion Using Linear Parameter-varying[Ph. D. dissertation], Dalian Maritime University, China, 2007
    [109] 林明明. 低温余热发电过程建模与先进控制策略研究[博士学位论文], 华北电力大学(北京), 中国, 2016

    Lin Ming-Ming. Research on Modeling and Advanced Control for Low Temperature Waste Heat Power Generation Process[Ph. D. dissertation], North China Electric Power University (Beijing), China, 2016
  • 加载中
计量
  • 文章访问数:  1402
  • HTML全文浏览量:  1134
  • PDF下载量:  625
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-11-01
  • 录用日期:  2019-04-07
  • 刊出日期:  2021-04-23

目录

    /

    返回文章
    返回