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Mengqinghua

Career: Professor

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  • Research project
  • Publications
  • Books
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Personal profile

Dr. Q. Meng is a professor at School of Mechanical Engineering, Hangzhou Dianzi University. He received Ph.D. from Zhejiang University. His main research interests New energy vehicle design and control technology, Mechanical noise and vibration control, Mechanical fault test and diagnosis, Vehicle electrics. He has published more than80 papers and obtained more than 20 authorized national invention patents. He is a paper reviewer of more than 10 journals all over the world.

Educational experience
Cwork experience
Social position
Research field
Vehicle design and control, fault diagnosis


Courses
Research project
Scientific research achievements
Publications

[1]    MENG Q, ZHAO S, LIU R, et al. Active Shimmy Control Method for Driverless Electric Vehicle Considering Unknown Sensor Measurement Error via Sampled-data Output Feedback [J]. IEEE Access, 2024.

[2]    ZHANG K, SUN Z-Y, CHEN C-C, MENG Q, et al. Global stabilization via output feedback for a class of uncertainty nonlinear systems with time-varying delay and zero dynamics [J]. ISA transactions, 2023, 132: 235-45.

[3]    YU L-Y, SUN Z-Y, MENG Q-H, et al. Fixed-time fuzzy adaptive tracking control for high-order systems with unknown nonlinearities and control directions [J]. International Journal of Fuzzy Systems, 2023, 25(4): 1546-58.

[4]    MENG Q, ZHENG H, CHEN C-C, et al. Active Shimmy Control Method for Driverless Electric Vehicle Considering Unknown Sensor Measurement Error and Nonlinearities [J]. International Journal of Control, Automation and Systems, 2023, 21(7): 2246-58.

[5]    MENG Q, SUN Z Y, CHEN C C. A homogeneous domination control method based on sampled‐data output feedback for lateral stability of an intelligent electric vehicle [J]. Asian Journal of Control, 2023, 25(3): 1851-65.

[6]    MENG Q, SUN Z, SHEN Z, et al. Homogeneous domination-based lane-keeping control method for intelligent vehicle [J]. Nonlinear Dynamics, 2023, 111(7): 6349-62.

[7]    MENG Q, LI B, HU C. Nonlinear vehicle active suspension system control method based on the extended high gain observer [J]. International Journal of Vehicle Design, 2023, 91(4): 303-21.

[8]    HAN Z-F, LI J-J, SUN Z-Y, MENG Q,et al. Finite-time robust stabilization for a class of high-order nonlinear systems with multiple uncertainties and external disturbances [J]. IEEE Access, 2023.

[9]    BAI Y, SUN Z-Y, CHEN C-C, MENG Q,et al. Fuzzy Fixed-Time Fault-Tolerant Control of Uncertain Nonlinear Systems with Non-affine Faults and Its Application in Manipulator Systems [J]. International Journal of Fuzzy Systems, 2023: 1-13.

[10]  YU L-Y, SUN Z-Y, MENG Q, et al. A new finite-time stabilizing design for a class of high-order uncertain nonlinear systems and its application in maglev systems [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 53(1): 417-24.

[11]  WANG Q, MENG Q, CHEN L, et al. Homogeneous Domination-Based Lateral Stability Control Method for Electric Vehicle Lane Keeping System [J]. IEEE Access, 2022, 10: 125564-75.

[12]  SUN Z-Y, ZHANG K, CHEN C-C, MENG Q,et al. Robust output feedback control of time-delay nonlinear systems with dead-zone input and application to chemical reactor system [J]. Nonlinear Dynamics, 2022, 109(3): 1617-27.

[13]  PENG Y, GUO L, MENG Q, et al. Research on hover control of AUV uncertain stochastic nonlinear system based on constructive backstepping control strategy [J]. IEEE Access, 2022, 10: 50914-24.

[14]  PENG Y, GUO L, MENG Q. Backstepping control strategy of an autonomous underwater vehicle based on probability gain [J]. Mathematics, 2022, 10(21): 3958.

[15]  MENG Q, ZHAO X, HU C, et al. High velocity lane keeping control method based on the non-smooth finite-time control for electric vehicle driven by four wheels independently [J]. Electronics, 2021, 10(6): 760.

[16]  MENG Q, XU H, SUN Z-Y. Nonlinear lateral motion stability control method for electric vehicle based on the combination of dual extended state observer and domination approach via sampled-data output feedback [J]. Transactions of the Institute of Measurement and Control, 2021, 43(10): 2258-71.

[17]  MENG Q, QIAN C, SUN Z-Y, et al. A homogeneous domination output feedback control method for active suspension of intelligent electric vehicle [J]. Nonlinear Dynamics, 2021, 103: 1627-44.

[18]  MENG Q, CHEN C C, WANG P, et al. Study on vehicle active suspension system control method based on homogeneous domination approach [J]. Asian Journal of Control, 2021, 23(1): 561-71.

[19]  LIU J N, SUN Z Y, CAI B, MENG Q,et al. Finite‐time stabilization of maglev system with an output constraint [J]. Asian Journal of Control, 2021, 23(6): 2874-8.

[20]  LIU C-Y, SUN Z-Y, MENG Q, et al. Robust control of high-order nonlinear systems with unknown measurement sensitivity [J]. Sci China Inf Sci, 2021, 64(6): 1-3.

[21]  GUO L-C, NI J, LIU J-B, MENG Q,et al. Backstepping output feedback control for the stochastic nonlinear system based on variable function constraints with the subsea intelligent electroexecution robot system [J]. Complexity, 2021, 2021: 1-15.

[22]  FENG S-S, SUN Z-Y, ZHOU C-Q, MENG Q,et al. Output tracking control via neural networks for high-order stochastic nonlinear systems with dynamic uncertainties [J]. International Journal of Fuzzy Systems, 2021, 23: 716-26.

[23]  CHEN S, QIU L, SUN S, MENG Q,et al. Research Progress on Corrosion of Equipment and Materials in Deep-Sea Environment [J]. Advances in Civil Engineering, 2021, 2021: 1-12.

[24]  SUN Z Y, ZHOU C, LIU Z G, MENG Q,et al. Fast finite‐time adaptive event‐triggered tracking for uncertain nonlinear systems [J]. International Journal of Robust and Nonlinear Control, 2020, 30(17): 7806-21.

[25]  SUN Z Y, WANG M, CHEN C C, MENG Q,et al. Disturbance attenuation with fast global finite‐time convergence for generalized high‐order uncertain nonlinear systems [J]. International Journal of Robust and Nonlinear Control, 2020, 30(2): 824-41.

[26]  SUN Z-Y, ZHOU C-Q, CHEN C-C, MENG Q,et al. Fast finite-time adaptive stabilization of high-order uncertain nonlinear systems with output constraint and zero dynamics [J]. Information Sciences, 2020, 514: 571-86.

[27]  SUN Z-Y, ZHOU C-Q, CHEN C-C, MENG Q,et al. Fast finite-time partial state feedback stabilization of high-order nonlinear systems with output constraint and dynamic uncertainties [J]. Journal of the Franklin Institute, 2020, 357(16): 11189-216.

[28]  SUN Z-Y, XING J-W, MENG Q. Output feedback regulation of time-delay nonlinear systems with unknown continuous output function and unknown growth rate [J]. Nonlinear Dynamics, 2020, 100: 1309-25.

[29]  SUN Z-Y, GU Y-J, MENG Q, et al. Output tracking control of high-order nonlinear systems with dynamic uncertainties [J]. Transactions of the Institute of Measurement and Control, 2020, 42(8): 1511-20.

[30]  MENG Q, QIAN C, HU C, et al. Finite‐time active shimmy control based on uncertain disturbance observer for electric vehicle with independent suspension [J]. IET Intelligent Transport Systems, 2020, 14(13): 1835-44.

[31]  SUN Z-Y, ZHANG D, MENG Q, et al. Feedback stabilisation of time-delay nonlinear systems with continuous time-varying output function [J]. International Journal of Systems Science, 2019, 50(2): 244-55.

[32]  MENG Q, SUN Z-Y, SHU Y, et al. Lateral motion stability control of electric vehicle via sampled-data state feedback by almost disturbance decoupling [J]. International Journal of Control, 2019, 92(4): 734-44.

[33]  MENG Q, QIAN C, SUN Z-Y. Finite-time stability control of an electric vehicle under tyre blowout [J]. Transactions of the Institute of Measurement and Control, 2019, 41(5): 1395-404.

[34]  MENG Q, QIAN C, SHU Y. Active steering wheel shimmy control for electric vehicle by sampled-data output feedback [J]. ISA transactions, 2019, 84: 262-70.

[35]  SUN Z Y, SHAO Y, CHEN C C, MENG Q,et al. Global output‐feedback stabilization for stochastic nonlinear systems: a double‐domination approach [J]. International Journal of Robust and Nonlinear Control, 2018, 28(15): 4635-46.

[36]  MENG Q, ZHAO T, QIAN C, et al. Integrated stability control of AFS and DYC for electric vehicle based on non-smooth control [J]. International Journal of Systems Science, 2018, 49(7): 1518-28.

[37]  MENG Q, WANG P, SUN Z Y, et al. Almost disturbance decoupling for a class of nonlinear systems subject to time‐delays via sampled‐data output feedback control [J]. Asian Journal of Control, 2018, 20(1): 568-76.

[38]  MENG Q, SUN Z-Y, LI Y. Finite-time controller design for four-wheel-steering of electric vehicle driven by four in-wheel motors [J]. International Journal of Control, Automation and Systems, 2018, 16(4): 1814-23.

[39]  MENG Q, QIAN C, WANG P. Lateral motion stability control via sampled-data output feedback of a high-speed electric vehicle driven by four in-wheel motors [J]. Journal of Dynamic Systems, Measurement, and Control, 2018, 140(1): 011002.

[40]  MENG Q, QIAN C, LIU R. Dual‐rate sampled‐data stabilization for active suspension system of electric vehicle [J]. International Journal of Robust and Nonlinear Control, 2018, 28(5): 1610-23.

[41]  LIU C-Y, SUN Z-Y, MENG Q-H, et al. Global Output Feedback Stabilization for a Class of Nonlinear Cascade Systems [J]. Mathematical Problems in Engineering, 2018, 2018.

[42]  TAN Q-Q, LI T, SUN Z-Y, MENG Q,et al. Output tracking control for generalized high-order nonlinear system with almost disturbance decoupling [J]. International Journal of Control, Automation and Systems, 2017, 15(6): 2570-8.

[43]  MENG Q, LIU T. Study on Immune PID control method of an in-wheel motor used in an electric car; proceedings of the 2017 36th Chinese Control Conference (CCC), F, 2017 [C]. IEEE.

[44]  MENG Q, GE P, WANG P. Lateral motion stability control based on disturbance estimation for an electric vehicle; proceedings of the 2017 4th International Conference on Systems and Informatics (ICSAI), F, 2017 [C]. IEEE.

[45]  范庆科, 孟庆华. 双轮毂电机驱动型电动汽车驱动防滑研究 [J]. 机械制造, 2017, 55(11): 29-32.

[46]  LIU T, CHEN K, YAN Z, MENG Q,et al. RESEARCH ON THE CONTROL STRATEGIES OF VEHICLE CHASSIS DYNAMOMETER [J]. Journal of the Balkan Tribological Association, 2016, 22.

[47]  MENG Q H, HUANG S C, ZHENG H F, et al. Research on Monitoring Fatigue Life of Mechanical Parts Based on Danger Theory [J]. Applied Mechanics and Materials, 2015, 697: 156-60.

[48]  范庆科,孟庆华, 郭思晨, et al. 四轮独立的轮毂电机驱动型电动汽车控制系统研究 [J]. 杭州电子科技大学学报: 自然科学版, 2015, 35(6): 65-9.

[49]  MENG Q, SUN X. Fault diagnosis approach to vehicle hub bearing unit based on danger theory; proceedings of the Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, F, 2014 [C]. IEEE.

[50]  孟庆华, 黄琴宝, 陈慧勤. 基于危险理论-云决策的发动机状态检测技术研究 [J]. 汽车工程, 2014, 36(11): 1339-44.

[51]  林辉, 赵文礼, 程琼, et al. 过盈配合的轮毂轴承芯轴有限元分析 [J]. 机械, 2014, 41(1): 27-31.

[52]  程琼, 赵文礼, 林辉, et al. 铆接过程中进给速度对轮毂轴承性能的影响 [J]. 机械, 2014, 41(3): 56-9.

[53]  王东峰, 孟庆华, 赵文礼. 基于 CATIA 的圆柱齿轮建模方法研究 [J]. 杭州电子科技大学学报: 自然科学版, 2013, 33(1): 64-7.

[54]  孟庆华, 许进, 王东峰. 轮毂电机驱动型电动汽车动力系统研究 [J]. 农业机械学报, 2013, 44(8): 33-7.

[55]  ZHAO W, ZHAO J, HUANG Z, et al. Weak signal detection technology based on Holmes Duffing oscillator [J]. Procedia Engineering, 2012, 29: 1796-802.

[56]  MENG Q, LEI L, KONG A. Study on immune cloud model adapted to complex mechanical system diagnosis [J]. Procedia Engineering, 2012, 29: 2167-71.

[57]  王东峰, 孟庆华, 赵文礼. 基于动力学分析的圆柱齿轮建模方法研究 [J]. 机械设计与制造, 2012, (10): 164-6.

[58]  MENG Q H, HUIFENG Z, FENGJUN L. Fatigue failure fault prediction of truck rear axle housing excited by random road roughness [J]. A A, 2011, 1(1): 1.

[59]  MENG Q H, ZHANG Y L, YU H S. Structural Optimization Design of Rear Axle Housing Excited by Dynamic Load [J]. Advanced Materials Research, 2011, 163: 2449-53.

[60]  MENG Q. Study on Danger Theory Condition Monitoring Algorithm Adapted to Mechanical System; proceedings of the 2010 International Conference on E-Product E-Service and E-Entertainment, F, 2010 [C]. IEEE.

[61]  孟庆华, 赵文礼, 樊志华, et al. 基于改进型阴性选择算法的车辆故障检测方法研究 [J]. 兵工学报, 2009, (12): 1722-6.

[62]  孟庆华, 赵文礼, 曾复, et al. 基于不相关性的非稳态信号解耦技术 [J]. 农业机械学报, 2009, (5): 203-6.

[63]  楼益强, 赵文礼, 孟庆华. 动态载荷下的汽车驱动桥壳有限元分析 [J]. 机电工程, 2009, 26(3): 61-5.

[64]  YAN H, MENG Q-H, ZHANG H, et al. Delay-dependent exponential stability of uncertain stochastic systems with time-varying delay and nonlinearities; proceedings of the 2008 27th Chinese Control Conference, F, 2008 [C]. IEEE.

[65]  孟庆华, 赵文礼, 郭立平. 无线传输的轮胎状态及车辆载重检测一体化技术 [J]. 农业机械学报, 2008, 39(6): 46-9.

[66]  MENG Q-H. Study of New Hydraulic Closed-architectured Automobile Axle Fatigue-testing Platform Based on Power Recovery [J]. Machine Tool & Hydraulics, 2007, 35(5): 130-2.

[67]  孟庆华. 基于随机共振的驱动桥故障诊断方法研究 [J]. 传感技术学报, 2007, 20(4): 870-3.

[68]  孟庆华. 检测器集合生成算法及其应用研究 [J]. 传感技术学报, 2007, 20(2): 473-6.

[69]  MENG Q. Study on Vehicle Faults Diagnosis Algorithm Based on Mechanics of Antigen Recognition; proceedings of the 2006 2nd IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, F, 2006 [C]. IEEE.

[70]  庞茂, 周晓军, 孟庆华, et al. 在线噪声检测及噪声信号的故障诊断技术研究 [J]. 传感技术学报, 2006, 19(1): 142-5.

[71]  庞茂, 周晓军, 孟庆华. 基于遗传编程的信息融合技术及其在车桥故障诊断中的应用研究 (英文) [J]. 仪器仪表学报, 2006, 27(5): 441-6.

[72]  庞茂, 周晓军, 胡宏伟, et al. 基于模块化的容错技术在测控系统软件开发中的应用研究 [J]. 传感技术学报, 2006, 19(2): 537-40.

[73]  庞茂, 周晓军, 胡宏伟, et al. 基于解析小波变换的奇异性检测和特征提取 [J]. 浙江大学学报: 工学版, 2006, 40(11): 1994-7.

[74]  孟庆华, 周晓军, 庞茂, et al. 疫苗算法及其在车辆故障检测中的应用 [J]. 浙江大学学报: 工学版, 2006, 40(2): 298-303.

[75]  孟庆华, 周晓军, 庞茂. 车辆驱动桥噪声分析及试验研究 [J]. 振动与冲击, 2006, 25(1): 136-9.

[76]  孟庆华, 赵文礼. 基于最优小波包基的模极大值法信号消噪研究 [J]. 传感技术学报, 2006, 19(6): 2582-4.

[77]  杨辰龙, 周晓军, 孟庆华, et al. 基于小波免疫系统的超声无损检测数据判读研究 [J]. 中国机械工程, 2005, 16(12): 1072-6.

[78]  庞茂, 周晓军, 孟庆华. 基于免疫学的在线故障检测算法的研究及应用 [J]. 中国电机工程学报, 2005, 25(24): 149-53.

[79]  孟庆华, 周晓军, 庞茂, et al. Bootstrap 法在车辆故障检测中的研究及应用 [J]. 汽车工程, 2005, 27(4): 498-501.

[80]  孟庆华, 周晓军, 庞茂. 基于两路传感信号的多源退化盲分离算法研究 [J]. 中国电机工程学报, 2005, 25(24): 165-70.

[81]  庞茂, 孟庆华, 潘明清, et al. 模块化方法在驱动桥测试系统开发中的应用研究 [J]. 组合机床与自动化加工技术, 2004, (6): 35-.

[82]  孟庆华, 周晓军, 吴跃成, et al. 基于小波免疫系统的车辆总成故障检测 [J]. 汽车工程, 2004, 26(5): 619-22.

[83]  YANG H, YANG S X, MENG Q-H. Behavior-based path planning and tracking control of a nonholonomic mobile robot; proceedings of the Proceedings 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003), F, 2003 [C]. IEEE.

[84]  孟庆华, 周晓军, 邹广德. QY50 汽车起重机回转台失稳分析 [J]. 汽车工程, 2003, 25(6): 645-8.

[85]  孟庆华, 邹广德, 张为春, et al. 抗洪专用金属螺旋桩的参数设计与实验研究 [J]. 山东工程学院学报,2000, 14(2): 37-40.


Books
Patent

  • 一种适用于电动汽车的自适应减摆器,发明专利,专利授权,201810749828.5,3696373,2020-02-18,机械工程学院,孟庆华

  • 一种移动充电桩机器人及其充电方法,发明专利,专利授权,202010698106.9,CN111959313B,2021-09-28,机械工程学院,孟庆华

  • 一种电动汽车智能监控灭火装置及其灭火方法,发明专利,专利授权,202010697464.8,CN111939497B,2021-09-28,机械工程学院,孟庆华

  • 一种可切换悬架及其减震馈能方法,发明专利,专利授权,201810605214.X,CN 108944313 B,2020-03-20,机械工程学院,孟庆华

  • 汽车轮毂轴承单元的多功能试验机,实用新型,专利授权,201220658843.7,2013-04-24,机械工程学院,孟庆华

  • 汽车轮毂轴承单元的多功能试验机,发明专利,专利授权,201210512255.7,2015-03-18,机械工程学院,孟庆华

  • 一种开沟播种机及其播种方法,发明专利,专利授权,201810229034.6,3677870,2020-01-31,机械工程学院,孟庆华

  • 利用电池散热的纯电动汽车空调系统及其制冷制热方法,发明专利,专利授权,201610845848.3,3236568,2019-01-29,机械工程学院,孟庆华

  • 电动汽车的多功能方向盘机构,发明专利,专利授权,201310118624.9,2015-05-20,机械工程学院,孟庆华

  • 一种空气压缩机,实用新型,专利授权,201020164159.4,2010-12-08,机械工程学院,孟庆华

  • 汽车驾驶室制冷装置,实用新型,专利授权,201020164171.5,2010-11-24,机械工程学院,孟庆华

  • 轮毂电机驱动型电动汽车的车架,实用新型,专利授权,201220261379.8,2012-12-05,机械工程学院,孟庆华

  • 轮毂电机驱动型电动汽车,实用新型,专利授权,201220258098.7,2012-12-05,机械工程学院,孟庆华

  • 轮毂电机驱动型电动汽车,发明专利,专利授权,201210180478.8,2015-04-01,机械工程学院,孟庆华

  • 汽车驾驶室快速制冷系统,发明专利,专利授权,201010151251.1,2011-09-14,机械工程学院,孟庆华

  • 利用电池散热的纯电动汽车空调系统,实用新型,专利授权,201621073444.9,2017-05-10,机械工程学院,孟庆华

  • 一种高速公路执法用巡逻机,发明专利,专利授权,201510650743.8,2017-10-27,机械工程学院,孟庆华

  • 智能轮毂轴承单元,实用新型,专利授权,201220481058.9,2013-03-06,机械工程学院,孟庆华

  • 轮毂电机电动汽车制动系统,实用新型,专利授权,201620435025.9,2016-11-30,机械工程学院,孟庆华

  • 轮毂电机电动汽车制动系统及制动能量回收控制方法,发明专利,专利授权,201610313364.4,2018-04-20,机械工程学院,孟庆华

  • 多功能方向盘机构,实用新型,专利授权,201320170343.3,2013-08-28,机械工程学院,孟庆华

  • 一种轮毂电机驱动型电动汽车辅助倒车及转弯系统,发明专利,专利授权,201410215653.1,2016-07-06,机械工程学院,孟庆华

  • 轮毂电机驱动型电动汽车辅助倒车及转弯系统,实用新型,专利授权,201420259470.5,2014-09-17,机械工程学院,孟庆华

  • 一种蓄电池固定装置,实用新型,专利授权,201420336712.6,2014-11-05,机械工程学院,孟庆华

  • 脚控式电动滑板车,实用新型,专利授权,201420231892.1,2014-09-17,机械工程学院,孟庆华

  • 一种脚控式电动滑板车,发明专利,专利授权,201410193369.9,2015-09-02,机械工程学院,孟庆华

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