Title: Active vibration control of an elevator system using magnetorheological damper actuator

Authors: Angelo M. Tusset; Douglas R. Santo; Jose M. Balthazar; Vinícius Piccirillo; Leandro C.C. Dos Santos; Reyolando M.L.R.F. Brasil

Addresses: UTFPR-Ponta Grossa, PR, Department of Mathematics, Av. Monteiro Lobato, Km 04, s/no. CEP: 20 – 84016-210, Ponta Grossa-PR, Brazil ' UNESP-Bauru, SP, Department of Mechanical Engineering, Av. Eng. Luiz Edmundo C. Coube 14-01 CEP: 17033-360, Bauru-SP, Brazil ' UNESP-Bauru/ITA, SP, Mechanical Aeronautics Division, Praça Marechal Eduardo Gomes, 50, Vila das Acácias, CEP: 12.228-900 – São José dos Campos – SP, Brazil ' UTFPR-Ponta Grossa, PR, Department of Mathematics, Av. Monteiro Lobato, Km 04, s/no. CEP: 20 – 84016-210, Ponta Grossa-PR, Brazil ' UTFPR-Ponta Grossa, PR, Department of Mathematics, Av. Monteiro Lobato, Km 04, s/no. CEP: 20 – 84016-210, Ponta Grossa-PR, Brazil ' UFABC-Santo Andre, SP, Department of Aerospace Engineering/Aerospace Structures, Av. dos Estados, 5001, CEP: 09210-580, Santo André-SP, Brazil

Abstract: We investigated the horizontal response of a vertical transportation with nonlinearities under excitation by guide rail deformations. A LQR control strategy was used in order to improve the comfort of passengers. To this end, a magnetorheological damper (MR damper) was used. The control force of the damper is a function of the voltage applied in the coil of the MR damper that is based on the force given by the controller. Numerical simulations were performed to investigate the nonlinear behaviour of the adopted mathematical model. Moreover, other issues such as robustness of the control technique were evaluated considering parametric errors and noise measurement. The results show that the LQR control strategy using MR damper can be effective in reducing the vibration of the vertical transport.

Keywords: optimal feedback control; vertical transportation; MR damper; high-speed elevator; parametric uncertainties; wavelet-based scale index; nonlinear model; chaos; LQR control; nonlinear dynamics.

DOI: 10.1504/IJNDC.2017.083642

International Journal of Nonlinear Dynamics and Control, 2017 Vol.1 No.1, pp.114 - 131

Received: 15 Aug 2015
Accepted: 01 Nov 2016
Published online: 13 Apr 2017 *