A Self‐tuning Robust Control System for nonlinear real‐time hybrid simulation. (13th February 2020)

• Record Type: Journal Article
• Authors: Maghareh, Amin; Dyke, Shirley J.; Silva, Christian E.
• Is Part Of: Earthquake engineering and structural dynamics. Volume 49:Number 7(2020)
• Page Start: 695
• Page End: 715
• Publication Date: 2020-02-13
• Subjects: actuator control -- adaptive control -- nonlinear control -- real‐time hybrid simulation -- self‐tuning control; Structural dynamics -- Periodicals; Earthquake engineering -- Periodicals; 624.1762
• DOI: 10.1002/eqe.3260
• Languages: English
• ISSNs: 0098-8847

Abstract

Summary: In a real‐time hybrid simulation, a transfer system is used to enforce the interface interaction between computational and physical substructures. A model‐based, multilayer nonlinear control system is developed to accommodate extensive performance variations and uncertainties in a physical substructure. The aim of this work is to extend the application of real‐time hybrid simulation to investigating failure, nonlinearity, and nonstationary behavior. This Self‐tuning Robust Control System (SRCSys) consists of two layers: robustness and adaptation. The robustness layer synthesizes a nonlinear control law such that the closed‐loop dynamics perform as intended under a broad range of parametric and nonparametric uncertainties. Sliding mode control is employed as the control scheme in this layer. Then, the adaptation layer reduces uncertainties at run time through slow and controlled learning of the control plant. The tracking performance of the SRCSys is evaluated in two experiments that have highly uncertain physical specimens.