A new performance index of LQR for combination of passive base isolation and active structural control. (15th February 2018)

• Record Type: Journal Article
• Authors: Miyamoto, Kou; Sato, Daiki; She, Jinhua
• Is Part Of: Engineering structures. Volume 157(2018)
• Page Start: 280
• Page End: 299
• Publication Date: 2018-02-15
• Subjects: Active structural control (ASC) -- Linear-quadratic regulator (LQR) -- Absolute acceleration -- Inter-story drift -- Passive base isolation (PBI) -- Seismic vibration -- Unstable zero -- Vibration reduction; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2017.11.070
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: A new LQR performance index has been developed to improve the control performance of the active structural control systems. The new LQR performance index considers the inter-story drifts and the absolute acceleration to protect properties and people. An 11 degree-of-freedom building model is used to verify the presented method. Abstract: This paper considers the problem of designing a state-feedback controller with both passive base isolation (PBI) and active structural control (ASC). In order to improve control performance, state-feedback gains are designed based on the linear quadratic regulator (LQR) method that optimizes a new performance index containing absolute acceleration, and inter-story drifts and velocity. Simulations on a model of an eleven degree-of-freedom shear building for four earthquake accelerograms are used to verify this method. Comparison studies show that, compared with PBI, the combination of PBI and ASC improves control performance; and this method yields better control results than the conventional ASC, which considers relative displacement and relative velocity of each story. The results are also discussed from the viewpoint of control system structure regarding the location of system zeros. In addition, the effect of weights in the LQR on control performance is discussed. A method for selecting the weights is presented by using the infinity norm of a system as a criterion to visualize their effect.