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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号四川大学基教b208

邮编:610065

 

个人简介

四川大学电气工程学院教授,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

1999.09-2002.06,四川大学,控制理论与控制工程,硕士

1992.09-1996.06,四川大学,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,四川大学,电气工程学院,自动化系主任

2002.07-至今,四川大学,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]四川大学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]四川大学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)

四川大学第五届“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,四川大学出版社,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, 四川大学学报(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, 四川大学学报(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,2020105082569,四川大学

  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,2018115553725,四川大学

  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,2018109041185,四川大学

  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,四川大学

  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,2018105762584,四川大学

  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,2017111429546,四川大学

  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,2017109450924,四川大学

     

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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