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佃松宜

日期:2021年07月30日     作者:     来源:      点击:[]

佃松宜

教授/博士生导师/自动化系主任

专业:自动化

方向:先进控制、感知与人工智能算法;电力与能源行业智能装备与特种机器人;机器人化微装配技术研究

Email:scudiansy@scu.edu.cn

电话:+86 028 85466818

地址:成都市一环路南一段24号bevictor伟德官网基教B208

邮编:610065

 

个人简介

bevictor伟德官网电气工程学院教授,博士生导师, 自动化系主任,四川省信息与自动化技术重点实验室主任。学科研究方向:先进控制理论与人工智能算法研究,嵌入式计算与实时智能系统的研究与开发,机器人与智能装备的智能感知与控制技术、工业测控与智能物联。近五年来主持各类科研项目近40项,发表论文100多篇,其中SCI/EI检索近50篇。获省部级科技进步三等奖1项。主编外文专著2部,参编国家九五规划教材1部。

 

学习和工作简历

教育经历:

2005.10-2009.03,日本东北大学,机械电子工程,博士

1999.09-2002.06,bevictor伟德官网,控制理论与控制工程,硕士

1992.09-1996.06,bevictor伟德官网,工业自动化,学士

 

工作经历:

2011.02-2011.03,美国亚利桑那州立大学,文化交流及教育培训

2008.09-2009.01,德国伊尔梅瑙工业大学,短期访问学者

2011.11-至今,bevictor伟德官网,电气工程学院,自动化系主任

2002.07-至今,bevictor伟德官网,电气工程学院,历任助教、讲师、副教授、教授

1996.07-1999.08,中国核动力研究设计院,二所,助理工程师

 

科研项目与获奖

主持或承担的主要科研项目:

近年来主持科研项目近40项,主持承担的代表性项目有:

 

1、纵向项目

  1. [1]国家重点研发计划项目:面向电力行业的作业机器人系统研究及应用,2019.02-2021.01,项目负责人;

  2. [2]国家重点研发计划项目:高安全装备智能运维关键技术研究与支撑软件开发应用,2020.11-2023.10,子课题负责人;

  3. [3]国家电网公司重大专项:面向GIS设备腔体内维护机器人关键技术研究,2019.01-2020.12项目负责人;

  4. [4]国家重大基础设施专项子模块:华西转化医学重大基础设施生物信息支撑平台管理系统开发,2017.01-2020.12,子模块副组长;

  5. [5]XXX国家级预研项目:2019.06—2020.12,项目负责人;

  6. [6]bevictor伟德官网自贡市校地科技合作专项:驻线式输电线路远程控制自主巡检机器人研制,2018.09-2021.08,项目负责人;

  7. [7]bevictor伟德官网德阳市校地科技合作专项:基于逆向工程的热喷涂机器人系统开发,2017.01-2018.12,项目负责人;

  8. [8]成都市科技局专项:基于平面电机的新型高精密数控机床工作台的运动控制研究,2015.01-2015.12,项目负责人。

 

2、企事业合作项目

  1. [1]中铁隧道局集团有限公司:隧道内部结构智能化全预制拼装技术与装备智能控制系统研发,2021.07-2021.12,项目负责人;

  2. [2]深圳翰维智能医疗科技有限公司:共建机器人感知与控制联合实验室合作项目,2020.12-2024.12,项目负责人;

  3. [3]中广核核电运营有限公司:封闭母线清扫检查机器人,2020.11-2021.10,项目负责人;

  4. [4]郑州精诚电力设备有限公司:共建感知控制联合实验室产学研合作项目,2020.09-2023.09,项目负责人;

  5. [5]中广核核电运营有限公司:电路板视觉AI诊断系统研发及采购,2019.08-2021.02,项目负责人;

  6. [6]中广核集团苏州热工院: 蒸发器第九支撑板视频检查机器人研发,2017.08-2019.07,项目负责人;

  7. [7]国网宁夏电力公司电力科学研究院:基于模块化设计的 GIS设备内部智能检查机器人的研发,2018.04-2019.12,项目负责人;

  8. [8]国网宁夏电力公司电力科学研究院:高压GIS腔体检查机器人系统方案设计,2016.01-2017.07,项目负责人;

  9. [9]中石油西南油气田公司:无线智能节流器的研究与开发,2016.01-2018.12,项目负责人;

  10. [10]国网浙江电力公司衢州供电公司:电力光缆清障机器人的研究与开发,2017.01-2017.12,项目负责人;

  11. [11]国网浙江电力公司衢州供电公司:电缆管道排管作业与电缆巡检机器人研制,2015.01-2016.12,项目负责人;

  12. [12]东方电气集团东方汽轮机有限公司:燃烧器喷涂专用九轴联动机器人系统研制,2015.01-2017.08,项目负责人;

  13. [13]中科院光电技术研究所:自适应光学波前误差实时控制,2015.01-2015.12,项目负责人;

  14. [14]依米康科技集团:面向下一代数据中心高压直流UPS研制,2014.01-2016.12,项目负责人;

  15. [15]国网四川电力公司电力科学院:电缆隧道智能巡线机器人的研究,2014.03-2014.12,项目负责人。

 

标志性获奖:

中国核工业总公司科学技术奖(1998年,三等奖)

国网浙江省电力公司科学技术进步奖 (2014年,三等奖)

第二届“绽放杯”5G应用征集大赛(2019年,三等奖)

bevictor伟德官网第五届“德沃群芳”育人文化建设标兵团队(2019年)

国网宁夏电力有限公司科学技术进步奖(2021年,一等奖)

 

代表性论文、专著与专利

在国内外本学科相关领域学术刊物上发表论文100余篇(第一作者/通讯作者),SCI/EI检索50余篇,ESI高被引论文1篇,授权发明专利7项,专著(章节)4部,其中英文专著2部。

 

专著及章节:

  1. [1]Gao W, Dian SY, Precision Control of Planar Motion Stages, VDM Verlag Dr. Muller Aktiengesellschaft & Co. KG, ISDN: 978-3-639-22037-7, 2010.

  2. [2]Liang MY, Dian SY, Liu Tao, Chapter 116: Insulation Status Mobile Monitoring for Power Cable Based on a Novel Fringing Electric Field Method, Lecture Notes in Electrical Engineering, Volume 138, pp. 987-994, Springer, ISDN: 978-1-4471-2466-5, 2012.

  3. [3]雒瑞森,佃松宜,周凯,火格局的时空变异及其在电网防火中的应用,bevictor伟德官网出版社,2017.

  4. [4]谈继勇,佃松宜,郭子钊,李剑,深度学习500问——AI工程师面试宝典,电子工业出版社,2021.

     

SCI/EI检索期刊论文:

  1. [1] Dian SY, Fang H, Zhao T, Wu Q, Hu Y, Guo R, Li S: Modeling and trajectory tracking control for magnetic wheeled mobile robots based on improved Dual-Heuristic dynamic programming, IEEE Transactions on Industrial Informatics, Vol. 17, (2021), pp. 1470-1482. (SCI/EI)

  2. [2] Hu Y, Dian SY, Guo R, Li S, Zhao T: Observer-based dynamic surface control for flexible-joint manipulator system with input saturation and unknown disturbance using type-2 fuzzy neural network, Neurocomputing, Vol. 436, (2021), pp. 162-173. (SCI/EI)

  3. [3] You X, Dian SY, Guo R, Li S: Exponential stability analysis for discrete-time quaternion-valued neural networks with leakage delay and discrete time-varying delays, Neurocomputing, Vol. 430, (2021), pp. 71-81. (SCI/EI)

  4. [4] Li H, Zhao T, Dian SY: Prioritized planning algorithm for multi-robot collision avoidance based on artificial untraversable vertex, Applied Intelligence, (2021). (SCI/EI)

  5. [5] Shui Y, Zhao T, Dian SY, Hu Y, Guo R, Li S: Data-driven generalized predictive control for car-like mobile robots using interval type-2 T-S fuzzy neural network, Asian Journal of Control,(2021). (SCI/EI)

  6. [6] Zhao T, Huang M, Dian SY: Robust stability and stabilization conditions for nonlinear networked control systems with network-induced delay via T-S fuzzy model, IEEE Transactions on Fuzzy Systems, Vol. 29, (2021), pp. 486-499. (SCI/EI)

  7. [7] Liu J, Zhao T, Dian SY: General type-2 fuzzy sliding mode control for motion balance adjusting of power-line inspection robot, Soft Computing, Vol. 25, (2021), pp. 1033-1047. (SCI/EI)

  8. [8] Zhao T, Zhang K, Dian SY: Security control of interval type-2 fuzzy system with two-terminal deception attacks under premise mismatch, Nonlinear Dynamics, Vol. 102, (2020), pp. 431-453. (SCI/EI)

  9. [9] Zhao T, Liu J, Dian SY, Guo R, Li S: Sliding-mode-control-theory-based adaptive general type-2 fuzzy neural network control for power-line inspection robots, Neurocomputing, Vol. 401, (2020), pp. 281-294. (SCI/EI)

  10. [10] Li B, Guo X, Zeng X, Dian SY, Guo M: An optimal pid tuning method for a single-link manipulator based on the control parametrization technique, Discrete And Continuous Dynamical Systems-Series S, Vol. 13, (2020), pp. 1813-1823. (SCI/EI)

  11. [11] Zhang K, Zhao T, Dian SY: Dynamic output feedback control for nonlinear networked control systems with a two-terminal event-triggered mechanism, Nonlinear Dynamics, Vol. 100, (2020), pp. 2537-2555. (SCI/EI)

  12. [12] Zhao T, Chen C, Dian SY: Local stability and stabilization of uncertain nonlinear systems with two additive time-varying delays, Communications in Nonlinear Science and Numerical Simulation, Vol. 83, (2020), 105097. (SCI/EI)

  13. [13] Chen Y, Zhao T, Dian SY, Zeng X, Wang H: Balance adjustment of power-line inspection robot using general type-2 fractional order fuzzy PID controller, Symmetry, Vol. 12, (2020), pp. 1-21. (SCI/EI)

  14. [14] Zhao T, Chen Y, Dian SY, Guo R, Li S: General type-2 fuzzy gain scheduling PID controller with application to power-line inspection robots, International Journal of Fuzzy Systems, Vol. 22, (2020), pp. 181-200. (SCI/EI)

  15. [15] Zhao T, Xiang Y, Dian SY, Guo R, Li S: Hierarchical interval type-2 fuzzy path planning based on genetic optimization, Journal of Intelligent & Fuzzy Systems, Vol. 39, (2020), pp. 937-948. (SCI/EI)

  16. [16] Zhao T, Li H, Dian SY: Multi-robot path planning based on improved artificial potential field and fuzzy inference system1, Journal of Intelligent & Fuzzy Systems, Vol. 39, (2020), pp. 7621-7637. (SCI/EI)

  17. [17] Zhao T, Liu JH, Dian SY: Finite-time control for interval type-2 fuzzy time-delay systems with norm-bounded uncertainties and limited communication capacity, Information Sciences, Vol. 483, (2019), pp. 153-173. (SCI/EI)

  18. [18] Dian SY, Hu Y, Zhao T, Han J: Adaptive backstepping control for flexible-joint manipulator using interval type-2 fuzzy neural network approximator, Nonlinear Dynamics, Vol. 97, (2019), pp. 1567-1580. (SCI/EI)

  19. [19] Dian SY, Han J, Guo R, Li S, Zhao T, Hu Y, Wu Q: Double closed-loop general type-2 fuzzy sliding model control for trajectory tracking of wheeled mobile robots, International Journal of Fuzzy Systems, Vol. 21, (2019), pp. 2032-2042. (SCI/EI)

  20. [20] Dian SY, Cheng P, Ye Q, et al: Integrating wildfires propagation prediction into early warning of electrical transmission line outages, IEEE Access, Vol. 7, (2019), pp. 27586-27603. (SCI/EI)

  21. [21] Dian SY, Huo GY, Zhao T, Li CL: Fuzzy static output feedback control for discrete-time nonlinear time-varying delay systems in a network environment, IETE Journal of Research, (2019), pp. 1-11. (SCI/EI)

  22. [22] Dian SY, Chen L, Hoang S, Pu M, Liu JY: Dynamic balance control based on an adaptive gain-scheduled backstepping scheme for power-line inspection robots, IEEE/CAA Journal of Automatica Sinica, Vol. 6, (2019), pp. 198-208. (SCI/EI)

  23. [23] Zhao T, Huang M, Dian SY: Stability and stabilization of T-S fuzzy systems with two additive time-varying delays, Information Sciences, Vol. 494, (2019), pp. 174-192. (SCI/EI)

  24. [24] Tan JY, Dian SY, Zhao T, Chen L: Stability and stabilization of T–S fuzzy systems with time delay via Wirtinger-based double integral inequality, Neurocomputing, Vol. 275, (2018), pp. 1063-1071. (SCI/EI)

  25. [25] Zhao T, Dian SY: Fuzzy static output feedback H∞ control for nonlinear systems subject to parameter uncertainties, Journal of Systems Science and Complexity, Vol. 31, (2018), pp. 343-371. (SCI/EI)

  26. [26] Tan JY, Dian SY, Zhao T: Further studies on stability and stabilization of T-S fuzzy systems with time-varying delays via fuzzy Lyapunov-Krasovskii functional method, Asian Journal of Control, Vol. 20, (2018), pp. 2207-2222. (SCI/EI)

  27. [27] Dian SY, Chen L, Hoang Son, Zhao T, Tan JY: Gain scheduled dynamic surface control for a class of underactuated mechanical systems using neural network disturbance observer, Neurocomputing, Vol. 275, (2018), pp. 1998-2008. (SCI/EI)

  28. [28] Zhao T, Liang WB, Dian SY, Xiao J, Wei ZB: Improved stability and stabilisation criteria for discrete time-delay systems via a novel double summation inequality, IET Control Theory and Applications, Vol. 12, (2018), pp. 327-337. (SCI/EI)

  29. [29] Zhao T, Dian SY: State feedback control for interval type-2 fuzzy systems with time-varying delay and unreliable communication links, IEEE Transactions on Fuzzy Systems, Vol. 26, (2018), pp. 951-966. (SCI/EI)

  30. [30] Zhao T, Dian SY: Fuzzy dynamic output feedback H∞ control for continuous-time T-S fuzzy systems under imperfect premise matching, ISA Transactions, Vol. 70, (2017), pp. 248-259. (SCI/EI)

  31. [31] Zhao T, Dian SY: Delay-dependent stabilization of discrete-time interval type-2 T–S fuzzy systems with time-varying delay, Journal of the Franklin Institute, Vol. 354, (2017), pp. 1542-1567. (SCI/EI)

  32. [32] Zhao T, Wei, ZB, Dian SY, Xiao J: Observer-based H∞ controller design for interval type-2 T-S fuzzy systems, Neurocomputing, Vol. 177, (2016), pp.9-25. (SCI/EI)

  33. [33] Dian SY, Wen XF, DX, ZSM: Digital control of isolated Cuk power factor correction converter under wide range of load variation, IET Power Electronics, Vol. 8, (2015), pp.142-150. (SCI/EI)

  34. [34] Dian SY, Xiang GF: Control for multi-DOF micro-order planar motion stage based on sliding mode observer, Key Engineering Materials, Vol. 609-610, (2014), pp. 1201-1206. (EI)

  35. [35] Dian SY, Liang MY, Lou BW, Liu T: A novel FEF method for insulation status monitoring of underground power cables, Journal of Computers (Finland), Vol. 8, (2013), pp.441-447. (EI)

  36. [36] Li XH, Gao W, Muto H, Shimizu Y, Ito So, Dian SY: A six-degree-of-freedom surface encoder for precision positioning of a planar motion stage, Precision Engineering, Vol. 37, (2013), pp. 771-781. (SCI/EI)

  37. [37] Dian SY, Dong H, Gao W: A novel sensorless control of a two-axis planar motion stage for precision positioning, Advanced Materials Research, Vol. 189-193, (2011), pp. 4121-4125. (EI)

  38. [38] Dian SY, Arai Y, Gao W: Dynamic compensation of modeling uncertainties and disturbances of a precision planar motion stage based on sliding mode observer, International Journal of Advanced Manufacturing Technology, Vol. 46, (2010), pp. 899-912. (SCI/EI)

  39. [39] Dian SY, Arai Y, Gao W: Precision positioning control of a Sawyer motor-based two-axis planar motion stage, International Journal of Surface Science and Engineering, Vol. 3, (2009), pp. 253-271. (SCI/EI)

  40. [40] Arai Y, Dian SY, Gao W: A novel control method using nonlinear observer for a XYθz planar actuator, Key Engineering Materials Vol. 381-382, (2008), pp.195-198. (EI)

  41. [41] Dian SY, Gao W, Horie K, Kiyono S: Precision measurement and decoupled control of a planar motion stage, Journal of the Chinese Society of Mechanical Engineers, Vol. 27, (2006), pp. 567-574. (EI)

  42. [42] Gao W, Horie K, Dian SY, Katakura K, Kiyono S: Improvement in a surface motor-driven planar motion stage, Journal of Robotics and Mechatronics, Vol. 18, (2006), pp.808-815. (SCI/EI)

     

部分国内期刊论文:

  1. [1] 吴庆, 赵涛, 佃松宜, 郭锐, 李胜川, 方红帏, 韩吉霞: 基于FPSO的电力巡检机器人的广义二型模糊逻辑控制, 自动化学报, (2019), pp. 1-11.

  2. [2] 佃松宜, 梁伟博, 赵涛: 基于改进QPSO的两轮移动机器人区间二型模糊逻辑控制, 控制与决策, Vol. 34, (2019), pp. 261-268.

  3. [3] 李银锋, 佃松宜: 基于改进全局滑模的GMAW系统电流与弧长控制, 焊接学报, Vol. 39, (2018), pp. 126-128+134.

  4. [4]佃松宜, 吉蕊, 苏敏: 熔化极气体保护焊中弧长系统的改进无模型自适应控制, 工程科学与技术, Vol. 50, (2018), pp. 140-148.

  5. [5]佃松宜, 李银锋, 蒲明, 陈琳, 何泉林: 一类非匹配不确定纯反馈非线性系统新型变幂次趋近律滑模控制, 工程科学与技术, Vol. 49, (2017), pp. 164-170.

  6. [6] 苏小丽, 佃松宜, 郑万里: 带零电压转换软开关的新型单相单级隔离式Cuk开关电源, 电工技术学报, Vol. 31, (2016), pp. 66-72.

  7. [7]佃松宜, 苏小丽, 蒲明: 离散终端滑模控制及其在Buck变换器中的应用, bevictor伟德官网学报(工程科学版), Vol. 47, (2015), pp. 153-159.

  8. [8]佃松宜, 向国菲, 蒲明: 多轴亚微米级平面定位台的滑模观测器无传感控制, 光学精密工程, Vol. 22, (2014), pp. 3067-3073.

  9. [9]佃松宜, 吴璋, 蒲明: 固体氧化物燃料电池气体供应系统的自适应滑模控制, bevictor伟德官网学报(工程科学版), Vol. 46, (2014), pp. 148-155.

  10. [10] 文雪峰, 佃松宜, 邓翔, 梁濛雨, 张世敏: 基于数字双环控制的功率因数校正控制算法, 电力系统自动化, Vol. 38, (2014), pp. 36-40.

  11. [11] 蒲明, 吴庆宪, 姜长生, 佃松宜, 王宇飞: 非匹配不确定高阶非线性系统递阶Terminal滑模控制, 自动化学报, Vol. 38, (2012), pp. 1777-1793.

  12. [12] 刘涛, 佃松宜, 梁淅檬雨, 甄威: 新型虾形轮式机器人的结构设计与仿真研究, 华中科技大学学报(自然科学版), Vol. 39, (2011), pp. 363-365+373.

     

专利:

  1. [1]佃松宜,蒋宗池,杨立超,李景华,杨家勇,陈玉,黄显伟,崔国柱;李彪,多层均匀绕线的绕线装置及其控制系统与控制方法,2020105082569,bevictor伟德官网

  2. [2] 赵涛,喻倩,佃松宜,平衡机器人的模糊控制方法、装置及平衡机器人,2018115553725,bevictor伟德官网

  3. [3] 赵涛,刘佳豪,佃松宜,一种电力巡检机器人运行姿态的控制方法及装置,2018109041185,bevictor伟德官网

  4. [4] 赵涛,梁伟博,佃松宜,数据处理方法、装置、电子设备及存储介质,201810708241X,bevictor伟德官网

  5. [5]佃松宜,刘明宇,李传龙,赵涛,点云配准方法、装置、电子设备及可读存储介质,2018105762584,bevictor伟德官网

  6. [6] 赵涛,刘佳豪,梁伟博,佃松宜,有限时间状态反馈控制器设计方法及装置,2017111429546,bevictor伟德官网

  7. [7] 赵涛,霍光尧,佃松宜,李传龙,梁伟博,非线性系统控制方法及装置,2017109450924,bevictor伟德官网

     

学术任职

中国自动化学会高级会员

中国仪器仪表学会高级会员

美国电气电子工程师学会(IEEE)会员

四川省自动化与仪器仪表学会常务理事兼副秘书长

 

硕博士招生

热忱欢迎自动化、电子、计算机、机械电子、测控技术与仪器、应用数学、机器人工程、人工智能等相关专业,踏实肯干、热爱科研、有团队协作精神的学生保研或报考本课题组的硕博士研究生。

硕士招生专业:1)控制科学与工程;2)人工智能;3)电子信息工程(专硕),每年招生规模6人左右;

博士招生专业:1)电气工程;2)人工智能;3)电子信息工程(工程博士),每年招生规模1-3人。

 

 

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