Filtered-error RLS for self-tuning disturbance feedforward control with application to a multi-axis vibration isolator
Tài liệu tham khảo
Ito, 2017, Vibration isolator carrying atomic force microscope’s head, Mechatronics, 44, 32, 10.1016/j.mechatronics.2017.04.008
Heertjes, 2013, Switching control in vibration isolation systems, IEEE Trans Control Syst Technol, 21, 626, 10.1109/TCST.2012.2188294
van der Poel T, van Dijk J, Jonker B, Soemers H. Improving the vibration isolation performance of hard mounts for precision equipment. In: IEEE/ASME international conference on advanced intelligent mechatronics. 2007, p. 1–5.
Beijen, 2018, Disturbance feedforward control for active vibration isolation systems with internal isolator dynamics, J Sound Vib, 436, 220, 10.1016/j.jsv.2018.09.010
Landau, 2011, Adaptive feedforward compensation algorithms for active vibration control with mechanical coupling, Automatica, 47, 2185, 10.1016/j.automatica.2011.08.015
Widrow, 1985
Kuo, 1995
Elliott, 2001
DeBrunner, 2006, Hybrid filtered error LMS algorithm: Another alternative to filtered-x LMS, IEEE Trans Circuits Syst I Regul Pap, 53, 653, 10.1109/TCSI.2005.859574
Eriksson, 1991, Development of the filtered-U algorithm for active noise control, J Acoust Soc Am, 89, 257, 10.1121/1.400508
Xie, 2016, Vibration control of a flexible clamped-clamped plate based on an improved FULMS algorithm and laser displacement measurement, Mech Syst Signal Process, 75, 209, 10.1016/j.ymssp.2015.12.016
Sayed, 2003
Bjarnason E. Active noise cancellation using a modified form of the filtered-x LMS algorithm. In: Proc. eusipco 92, 6th eur. signal processing conf.. 1992, p. 1053–6.
Ninness, 1998, Frequency domain analysis of tracking and noise performance of adaptive algorithms, IEEE Trans Signal Process, 46, 1314, 10.1109/78.668794
Zeng, 2003, Feedforward noise cancellation in an air duct using generalized FIR filter estimation, 6392
Beijen, 2018, Self-tuning MIMO disturbance feedforward control for active hard-mounted vibration isolators, Control Eng Pract, 72, 90, 10.1016/j.conengprac.2017.11.008
Tan, 2009, Adaptive second-order volterra filtered-x RLS algorithms with sequential and partial updates for nonlinear active noise control, 1625
Bouchard, 2000, Multichannel recursive-least-square algorithms and fast-transversal-filter algorithms for active noise control and sound reproduction systems, IEEE Trans Speech Audio Process, 8, 606, 10.1109/89.861382
Zeng, 2004, Recursive least squares generalized FIR filter estimation for active noise cancellation, IFAC Proc Vol, 37, 327, 10.1016/S1474-6670(17)31489-1
Montazeri, 2011, Developing an IIR robust adaptive algorithm in the modified filtered-x RLS form for active noise and vibration control systems, 7994
Yi, 2020, An active hybrid control approach with the Fx-RLS adaptive algorithm for active-passive isolation structures, Smart Mater Struct, 29, 10.1088/1361-665X/ab8c24
Beijen M, Hakvoort W. Filtered-error recursive least squares optimization for disturbance feedforward control in active vibration isolation. In: IFAC-papersonline, Vol. 52. Vienna, Australia; 2019, p. 448–53. http://dx.doi.org/10.1016/j.ifacol.2019.11.716.
Tjepkema, 2012
Gordon, 1991, Generic criteria for vibration-sensitive equipment, Proc Int Soc Opt Eng, 1619, 71
Munnig Schmidt, 2011
Karnopp, 1969, Comparative study of optimization techniques for shock and vibration isolation, Trans Am Soc Mech Eng J Eng Ind, 91, 1128
Seron, 1997
Beijen, 2015, Performance trade-offs in disturbance feedforward compensation of active hard-mounted vibration isolators, 2149
Van Ophem, 2016, A numerically stable, finite memory, fast array recursive least squares filter for broadband active noise control, Internat J Adapt Control Signal Process, 30, 31, 10.1002/acs.2574