机械与能源工程 |
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平面关节型机器人关节力矩的卡尔曼估计 |
张铁, 梁骁翃 |
华南理工大学 机械与汽车工程学院, 广东 广州 510640 |
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Kalman filter-based SCARA robot joint torque estimation |
ZHANG Tie, LIANG Xiao-hong |
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China |
[1] DZHANKHOTOV V, PYRHÖNEN J. PASSIVE L C. Filter design considerations for motor applications[J]. IEEE Transactions on Industrial Electronics, 2013, 60(10):4253-4259.
[2] AKAGI H, ISOZAKI K. A hybrid active filter for a three-phase 12-pulse diode rectifier used as the front end of a medium-voltage motor drive[J]. IEEE Transactions on Power Electronics, 2012, 27(1):69-77.
[3] KINSHEEL A, TAHA Z, DEBOUCHA A, et al. Robust least square estimation of the CRS A465 robot arms dynamic model parameters[J]. Journal of Mechanical Engineering Research, 2012, 4(3):88-89.
[4] 牛里,杨明,王庚,等.基于无差拍控制的永磁同步电机鲁棒电流控制算法研究[J].中国电机工程学报,2013,33(15):78-85. NIU Li, YANG Ming, WANG Geng, et al. Research on the robust current control algorithm of permanent magnet synchronous motor based on deadbeat control principle[J]. Proceedings of the CSEE, 2013, 33(15):78-85.
[5] 王东文,宋词,周伟.自适应滤波在永磁同步电机电流环优化中的应用[J].电工技术学报,2014(增刊1):90-94. WANG Dong-wen, SONG Ci, ZHOU Wei. Adaptive filter applied in optimizing current loop of permanent magnet synchronous Motor[J]. Transactions of China Electrotechnical Society, 2014(supp11):90-94.
[6] 张海洋,许海平,方程,等.基于谐振数字滤波器的直驱式永磁同步电机转矩脉动抑制方法[J].中国电机工程学报,2018,38(4):1222-1231+1299. ZHANG Hai-yang, XU Hai-ping, FANG Cheng, et al. Torque ripple suppression method of direct-drive permanent magnet synchronous motor based on resonant digital filter[J], Proceedings of the CSEE, 2018, 38(4):1222-1231+1299.
[7] GROTJAHN M, DAEMI M, HEIMANN B. Friction and rigid body identification of robot dynamics[J]. International Journal of Solids and Structures, 2001, 38(10):1889-1902.
[8] 杨松,王毅,苏宝库.高精确度伺服转台控制系统中的扰动力矩补偿[J].电机与控制学报,2009,13(4):615-619. YANG Song, WANG Yi, SU Bao-ku. Study on disturbance torques compensation in high precise servo turntable control system[J]. Electric Machines and Control, 2009, 13(4):615-619.
[9] 赵辉,冯英浚,张志忠,等.神经网络用于永磁同步电机系统波动力矩补偿[J].哈尔滨工业大学学报,2003,35(1):5-7. ZHAO Hui, FENG Ying-jun, ZHANG Zhi-zhong, et al. Application of neural network for ripple torque compensation of permanent magnet synchronous motor system[J]. Journal of Harbin Institute of Technology, 2003, 35(1):5-7.
[10] VAN DAMME M, BEYL P, Vanderborght B, et al. Estimating robot end-effector force from noisy actuator torque measurements[C]//Robotics and Automation (ICRA), 2011 IEEE International Conference on. Shanghai:IEEE, 2011:1108-1113.
[11] ZOLLO L, LOPEZ E, SPEDALIERE L, et al. Identification of dynamic Parameters for robots with elastic joints[J]. Advances in Mechanical Engineering, 2015. 7(2):843186-843186.
[12] ZHU S, CHEN Q, WANG X, et al. Dynamic modelling using screw theory and nonlinear sliding mode control of serial robot[J]. International Journal of Robotics and Automation, 2016, 31(1):63-75.
[13] CRAIG J J. Introduction to robotics:mechanics and control, third edition[M]. Upper Saddle River:Pearson Prentice Hall, 2005.
[14] SOUSA C J S D. Dynamic model identification of robot manipulators:Solving the physical feasibility problem[D]. Coimbra:University of Coimbra, 2014.
[15] 陈金广,李洁,高新波.双重迭代变分贝叶斯自适应卡尔曼滤波算法[J].电子科技大学学报,2012,41(3):359-363. CHEN Jin-guang, LI Jie, GAO Xin-bo. Dual Recursive Variational Bayesian Adaptive Kalman Filtering Algorithm[J], Journal of University of Electronic Science and Technology of China, 2012, 41(3):359-363.
[16] FARSONI S, LANDI C T, FERRAGUTI F, et al. Compensation of Load Dynamics for Admittance Controlled Interactive Industrial Robots Using a Quaternion-Based Kalman Filter[J]. IEEE Robotics and Automation Letters, 2017, 2(2):672-679.
[17] RIGATOS G G. Control and disturbances compensation in underactuated robotic systems using the derivative-free nonlinear Kalman filter[J]. Robotica, 2017, 35(3):687-711.
[18] ORNELAS F, SANCHEZ E N, LOUKIANOV A G. Real-time inverse optimal control for a planar robot[C]//Intelligent Control (ISIC), 2010 IEEE International Symposium on. Yokohama:IEEE, 2010:2332-2337.
[19] ASL R M, HAGH Y S, PALM R. Robust control by adaptive non-singular terminal sliding mode[J]. Engineering Applications of Artificial Intelligence, 2017, 59:205-217.
[20] 钟万勰,吴志刚,谭述君.状态空间控制理论与计算[M].北京:科学出版社,2007. |
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