班曉軍

班曉軍,男,博士,哈爾濱工業大學教授、控制理論與制導技術研究中心副主任。

基本介紹

  • 中文名:班曉軍
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:模糊控制理論及套用
  • 任職院校:哈爾濱工業大學
個人經歷,主講課程,研究方向,學術成果,榮譽獎項,

個人經歷

時間
工作經歷
2006.12 - 2009.12
哈爾濱工業大學 航天學院 控制理論與制導技術研究中心 講師
2008.12 - 2013.06
哈爾濱工業大學 機電學院 機械工程博士後流動站 博士後
2009.12 - 2015.12
哈爾濱工業大學 航天學院 控制理論與制導技術研究中心 副教授
2011.03 - 2012.03
美國北卡羅來納州立大學 電氣工程與計算機系 訪問學者
2014.09 - 2014.09
美國明尼蘇達大學 培訓訪問
2015.05 - 至今
哈爾濱工業大學 航天學院 控制理論與制導技術研究中心 博士生導師
2015.12 - 至今
哈爾濱工業大學 航天學院 控制理論與制導技術研究中心 教授
2017.10 - 2019.01
美國北卡羅來納州立大學 機械與航空宇航工程系 訪問學者
時間
地點
學位
1997.09 - 2001.07
哈爾濱工程大學 自動化學院 自動控制
工學學士
2001.09 - 2003.07
哈爾濱工業大學 航天學院 控制理論與工程
工學碩士
2003.09 - 2006.10
哈爾濱工業大學 航天學院 控制科學與工程
工學博士

主講課程

系統辨識與自適應控制:研究生學位課,32學時,2學分。課程介紹:系統辨識與自適應控制是現代控制理論與工程套用領域中的一個重要分支。系統辨識就是要從系統的輸入輸出數據中設法得到系統的數學模型,而自適應控制就是要想辦法根據被控對象參數或結構的變化而線上實時調整控制律的結構或參數以期達到理想的控制性能。本課程將介紹系統辨識的基本方法以及若干種典型自適應控制系統的設計與分析方法。
模糊控制:本科生專業限選課,24學時,1.5學分。課程介紹:傳統線性控制理論都基於被控對象精確的線性數學模型。隨著被控對象動態特性的日益複雜化,傳統線性控制理論的套用受到了一定限制。而基於模糊集合論發展起來的模糊控制理論為缺乏精確數學模型的複雜對象以及非線性對象的控制提供了一種理論與方法。本課程旨在為自動化專業本科生能夠運用模糊控制理論來解決複雜對象的控制問題奠定理論基礎,讓學生掌握模糊數學以及模糊邏輯的基本概念,掌握基於離散以及連續論域的模糊控制器的設計方法,讓學生初步了解T-S模糊模型以及相應的控制律設計方法,了解模糊自適應控制器設計的基本方法。
System Identification and Adaptive control:Elective course for international students.Introduction:System identification and adaptive control is an important branch of modern control theory and engineering. The concept of System Identification is trying to obtain a mathematical model of the system according to its input and output data. While for Adaptive Control, we should develop a method to realize online real-time adjustment to the structures or parameters of the control laws according to the variation of the structures or parameters of the controlled object, in order to reach an ideal control performance. This course will introduce the basic method of system identification and the designing and analyzing methods of several typical adaptive control systems, including the least square identification algorithm and its variations, fuzzy model identification methods, stochastic adaptive control systems, gain scheduling adaptive control systems, and model reference adaptive control systems.

研究方向

魯棒增益調度控制理論及套用
系統辨識理論及套用
機電運動伺服控制系統設計
飛行器控制

學術成果

科研項目
項目名稱
模糊變參數系統穩定性分析與鎮定
項目來源
國家自然基金委
開始時間
2014-01-01
結束時間
2016-12-01
擔任角色
負責
項目類別
縱向項目
項目狀態
進行中
項目名稱
魯棒變增益控制在飛行器控制中的套用
項目來源
國家自然基金委
開始時間
2013-01-01
結束時間
2016-12-01
擔任角色
參與
項目類別
縱向項目
項目狀態
進行中
項目名稱
Takagi-Sugeno型模糊控制系統的頻域分析與設計
項目來源
國家自然基金委
開始時間
2009-01-01
結束時間
2011-12-01
擔任角色
參與
項目類別
縱向項目
項目狀態
完成
項目名稱
空間機構懸吊式低重力模擬系統中的恆拉力控制子系統
項目來源
航天院所
開始時間
2015-01-01
結束時間
2016-12-01
擔任角色
參與
項目類別
橫向項目
項目狀態
進行中
項目名稱
空間機構低重力模擬系統
項目來源
航天院所
開始時間
2009-01-01
結束時間
2010-12-01
擔任角色
參與
項目類別
縱向項目
項目狀態
完成
期刊論文:
1. 尹航,楊燁峰,趙岩,梁悅,班曉軍. 二自由度飛行姿態模擬器自整定控制器設計. 電機與控制學報,22(4),pp. 105-112, 2018,4.
2. Liwei Ren, X. J. Ban and Hao Ying. Feedback-linearization-based control of discrete-time quadratic TS fuzzy systems with disturbances.Journal of Intelligent & Fuzzy Systems, pp. 1-14, 2018. (DOI: 10.3233/JIFS-18454)
3. Hongyang Zhang, X. J. Ban, and Fen Wu, Stability analysis and controller design for a novel nonlinear system: Fuzzy parameter varying system,Journal of Intelligent & Fuzzy Systems, Vol. 34, No. 6, pp. 4387-4395, 2018.
4. 任立偉,洪娟,班曉軍,黃顯林. 離散模糊多項式系統的輸出反饋跟蹤控制. 電機與控制學報,21(12), pp. 93-99, 2017, 12.
5. 李楊,班曉軍,盧鴻謙,尹航,黃顯林. 基於T-S模糊模型的恆張力系統摩擦預測. 光學精密工程,25(12), pp. 87-94, 2017,12.
6. Yang Liu, X.J. Ban, Fen Wu, and H.K. Lam, Gain-Scheduling Control of T-S Fuzzy Systems with Actuator Saturation,Journal of Intelligent & Fuzzy Systems,Vol. 32, no. 3, pp. 2579–2589, 2017.
7. Yang Liu, Fen Wu, and X. J. Ban, Dynamic Output Feedback Control for Continuous-Time T-S Fuzzy Systems Using Fuzzy Lyapunov Functions.IEEE Transactions on Fuzzy Systems, Vol. 25. No. 5, pp. 1155-1167, Oct. 2017.
8. 張洪楊,梁悅,班曉軍,吳奮. 一種新型非線性時變模型:模糊變參數系統. 電機與控制學報, 20(11),pp. 86-91, 2016.11.
9. Yang Liu, X. J. Ban, Fen Wu, H. K. Lam, A Gain-Scheduling Control Approach for T-S fuzzy Systems Based on linear Parameter-varying Control Theory,ASME Journal of Dynamic Systems, Measurement, and control. Vol. 138. No. 1, Jan, 2016.
10. X. J. Ban, Fen Wu, Output feedback control of linear fractional transformation systems subject to actuator saturation,International Journal of Systems Science, Vol. 47, No. 15, pp. 3646-3655, 2016. 11.
11. X. J. Ban, Fen Wu, Gain scheduling output feedback control of linear plants with actuator saturation,Journal of the Franklin Institute- Engineering and applied mathematics, Vol. 352, No. 10, pp. 4163-4187, October, 2015.
12. X. J. Ban, Z. Q. Deng, Fen Wu, X. L. Huang, Fuzzy gain-scheduling output feedback controller design for saturated linear plants.Journal of Harbin Institute of Technology(New Series), Vol. 19, No. 6, pp. 79-86, December, 2012.
13. H. K. Lam, L.D. Seneviratne, and X. J. Ban, Fuzzy Control of Nonlinear Systems Using Parameter-Dependent Polynomial Fuzzy Model, IET Control Theory and Applications, Vol. 6, No. 11, pp.1645-1653, 2012.
14. X. J. Ban, X. Z. Gao, and X. L. Huang, Graphical L-2-stability analysis of Takagi-Sugeno control systems in the frequency domain,Fuzzy Sets and Systems, Vol. 171, No. 1, pp. 93 - 105, May, 2011.
15. X. J. Ban, X.Z. Gao, X.L. Huang, L2-Stability Analysis of Proportional Takagi-Sugeno Fuzzy Controller Based Control systems,Intelligent Automation and Soft Computing, Vol. 16, No. 1, pp. 61-71, 2010, 1.
16. X. J. Ban, X.Z. Gao, X.L. Huang, Comments on ‘‘Stability analysis for a class of Takagi–Sugeno fuzzy control systems with PID controllers”,International Journal of Approximate Reasoning, Vol. 50,no.3, pp. 578-579, 2009, 3.
17. X. J. Ban, X. Z. Gao, X. L. Huang, H. Yin. Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion.International Journal of Innovative Computing, Information and Control, Vol. 3, No. 5, pp. 1087-1096, October 2007.
18. X. J. Ban, X. Z. Gao, X. L. Huang, H. Yin. Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Circle Criterion.Information Sciences, Vol. 177, No. 20, pp. 4387-4409, 2007.10.
19. X. J. Ban, X. Z. Gao, X. L. Huang, T. B. Wu. Analysis of One and Two Dimensional Fuzzy Controllers.Journal of Systems Engineering and Electronics. Vol. 17, No. 2, pp. 362~373, 2006. 06.
20. 吳天寶, 黃顯林, 盧鴻謙, 班曉軍. 基於非線性動態逆方法的TF/TA控制器設計. 宇航學報,Vol. 25, No. 3, pp.289-294, 2004.
會議論文:
21. Liwei Ren, Hongyang Zhang, X. J. Ban, Xianlin Huang. LMI-based Stability Analysis of Discrete-time Quadratic TS Fuzzy Systems,37th Chinese Control Conference. pp. 3304-3310, July 25-27, 2018, Wuhan, China.
22. X. J. Ban, Hongyang Zhang, Fen Wu, Stability Analysis and Controller Design for Fuzzy Parameter varying Systems Based on Fuzzy Lyapunov Function,ASME 2018 Dynamics Systems and Control ConferenceSep. 30-Oct. 2, 2018, Atlanta Georgia, USA.
23. Hongyang Zhang, X. J. Ban, Fen Wu. Piecewise Lyapunov Function Based Stability Analysis of Fuzzy Parameter Varying Systems,The 36th Chinese Control Conference, Dalian, China, July, 26-28, 2017.
24. X. J. Ban, Y. Liu, X. L. Huang, Fen Wu. Output feedback control for fuzzy systems subject to actuator saturation based on fuzzy Lyapunov functions,Proceedings of ASME 2016 Dynamic Systems and Control Conference, pp. 1-9, Oct. 12-14, 2016, Minneapolis, Minnesota, USA.
25. Liwei Ren, X. J. Ban, H. Ying, Stability analysis for a general class of discrete-time polynomial fuzzy dynamic systems,IEEE International Conference on Fuzzy Systems(FUZZ-IEEE), pp. 1-6, Aug. 2-5, 2015, Istanbul, Turkey.
26. Liwei Ren, X. J. Ban, Xianlin Huang, and Shuchen Ding, Parameter Identification of Gyro Using Recursive Subspace Algorithm,17th IFAC Symposium on System Identification(SYSID), Vol.48, No. 28, pp. 662-667, Oct. 19-21, 2015, Beijing China.
27. X. J. Ban, Fen Wu, Gain scheduling output feedback control of linear plants with partial actuator saturation,The 19th World Congress of the International Federation of Automatic Control, pp. 9486-9491, August 24-29, 2014, Cape Town, South Africa.
28. Y. Liu, X.J. Ban, F. Wu, and H.K. Lam, Dynamic Output Feedback Controller Design for T-S Fuzzy Plants with Actuator Saturation Using Linear Fractional Transformation,International conference on fuzzy systems(FUZZ-IEEE), pp. 2125 - 2132, July 6-11, 2014, Beijing.
29. Y. Liu, X. J. Ban, and X. L. Huang, A New Design Method of H_infinity State Feedback Gain-scheduling Controller for T-S Fuzzy Systems,International Conference on Mechatronics and Control(ICMC2014), pp. 233-238, July, 3-5, 2014, Jinzhou, China.
30. Y. Liu, X. J. Ban, X. L. Huang, H. J. Pang. Gain scheduling output feedback controller design for hypersonic vehicle with actuator saturation.The 32nd Chinese Control Conference(CCC), Xian, China, July, 26-28, 2013: 5644-5649.
31. Y. Zhao, X. J. Ban, X. L. Huang, Design and implementation of a fuzzy controller for swing-up control of an inverted pendulum,The 32nd Chinese Control Conference(CCC), Xian, China, July, 26-28, 2013: 3413-3417.
32. X. J. Ban, Fen Wu, Gain scheduling output feedback controller design for saturated linear plants,The 31st Chinese Control Conference(CCC), Hefei, China, July 25-27, 2012: 89-94.
33. Z. J. Zhang, X. J. Ban, X. L. Huang, X. Z. Gao, New delay-dependent robust stability for T-S systems with interval time varying delay,Proceedings of the 5 th International Joint Conference on Computational Sciences and Optimization, Harbin, China, June, 23-26, 2012:826-830.
34. X. J. Ban, Z. J. Zhang, X. L. Huang, LMI based stability conditions for nonlinear systems constructed by fuzzy input-output models,The 2nd International Conference on Intelligent Control and Information Processing(ICICIP), Harbin, China, July, 25-28, 2011: Vol. 2, 983-987.
35. X. J. Ban, X. Z. Gao, X. L. Huang, and K. R. Cao, A Type of Fuzzy Input-Output Model and Its Property,WCCI 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July, 18-23, 2010:505-509.
36. X. J. Ban, X. Z. Gao, X. L Huang, Y. Hang. Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion.11th Online World Conference on Soft Computing in Industrial Applications, September 18 - October 6, 2006,Soft Computing in Industrial Applications: Recent and Emerging Methods and Techniques, 39: 63 ~71, 2007.
37. X. J. Ban, X. Z. Gao, X. L. Huang, H. Yin. Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Circle Criterion.IEEE International Conference on Fuzzy Systems, Vancouver, Canada, 16-21 June 2006:9628~9633.
38. X. J. Ban, X. Z. Gao, X. L Huang, H. S. Lin. Design of a Takagi-Sugeno Fuzzy Compensator for Inverted Pendulum Control Using Bode Plots.10th Online World Conference on Soft Computing in Industrial Applications, September-October 2005, A. Tiwari, J. Knowles.Applications of Soft Computing: Recent Trends. Springer, 2006:47~56.
39. X. J. Ban, X. Z. Gao, X. L. Huang, T. B. Wu. Analysis of One and Two Dimensional Fuzzy Controllers.IEEE International Conference on Fuzzy Systems, Reno, NV USA, 22-25 May 2005:395~401.
40. X. J. Ban, X. Z. Gao, X. L. Huang. Design of a Hybrid Fuzzy-PD Controller for Inverted Pendulum.IEEE International Conference on Systems, Man, and Cybernetics, Hague, Netherlands, 10-13 October 2004:2286~2291.
專利情況

榮譽獎項

獎項名稱
宇航空間機構懸吊法重力補償關鍵技術
獲獎時間
2015
完成人
排名7
所獲獎項
黑龍江省技術發明一等獎

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