Mixed-Sensitivity H Control for Optical Pickup Systems

Wang, Pei; Zhizheng, WU; Yuan, Shuai; Jia, Qingxi

doi:10.14257/ijca.2015.8.2.18

Cited by 2 publications

(1 citation statement)

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“…Compared with traditional control algorithm, the design of the mixed-sensitivity H∞ (MSH) controller is more intuitive and flexible because the weighting functions of the controller are chosen in the frequency domain and the structure of the controller can be adjusted to different demands of the system dynamic characteristics. Nowadays, the MSH control strategy is paid more and more attention by researchers (Çetin et al., 2011; Zhao et al., 2013; Wang et al., 2015). It should be noted that the success of the MSH controller design mainly depends on the proper selection of the weighting functions.…”

Section: Introductionmentioning

confidence: 99%

A shuffled frog-leaping algorithm based mixed-sensitivity H∞ control of a seismically excited structural building using MR dampers

Lin¹,

Chen

Huang

2017

Journal of Vibration and Control

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An intelligent robust controller, which combines a shuffled frog-leaping algorithm (SFLA) and an H∞ control strategy, is designed for a semi-active control system with magnetorheological (MR) dampers to reduce seismic responses of structures. Generally, the performance of mixed-sensitivity H∞ (MSH) control highly depends on expert experience in selecting the parameters of the weighting functions. In this study, as a recently-developed heuristic approach, a multi-objective SFLA with constraints is adopted to search for the optimal weighting functions. In the proposed semi-active control, firstly, based on the Bouc–Wen model, the forward dynamic characteristics of the MR damper are investigated through a series of tensile and compression experiments. Secondly, the MR damper inverse model is developed with an adaptive-network-based fuzzy inference system (ANFIS) technique. Finally, the SFLA-optimized MSH control approach integrated with the ANFIS inverse model is used to suppress the structural vibration. The simulation results for a three-story building model equipped with an MR damper verify that the proposed semi-active control method outperforms fuzzy control and two passive control methods. Besides, with the proposed strategy, the changes in structural parameters and earthquake excitations can be satisfactorily dealt with.

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Section: Introductionmentioning

confidence: 99%