DocumentCode
261637
Title
Mixed H2 /H∞ feedback control of multivariable dynamically substructured systems
Author
Chi-Lun Wang ; Jia-Ying Tu
Author_Institution
Dept. of Power Mech. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear
2014
fDate
9-11 July 2014
Firstpage
168
Lastpage
173
Abstract
Dynamically substructured system testing method divides an original system into several substructures. In the numerical substructure, linear components are simulated via real-time computation. In the physical substructure, a transfer system, which includes actuators and sensors, is installed to interface the numerical and physical parts. During the test, the unwanted disturbances and noise from the actuator inevitably cause synchronization errors between the outputs of numerical and physical substructures at the interface, and consequently result in unsuccessful tests. Therefore, this study proposes advanced control using the feedforward state-space linear substructuring controller plus the mixed H2/H∞ feedback controller to ensure optimal and robust synchronization. The synchronization problem is transformed to tracking design according to a numerical-substructure-based framework and is solved based on Riccati-like equations and linear matrix inequality. A multivariable mass-spring-damper substructured system is developed to verify the proposed control strategy via numerical studies.
Keywords
H∞ control; H2 control; Riccati equations; control system synthesis; feedback; feedforward; linear matrix inequalities; linear systems; multivariable control systems; robust control; state-space methods; synchronisation; Riccati-like equations; actuator noise; control strategy; dynamically substructured system testing method; feedforward state-space linear substructuring controller; linear component simulation; linear matrix inequality; mixed H2/H∞ control; multivariable dynamically substructured systems; multivariable mass-spring-damper substructured system; numerical substructure; numerical-substructure-based framework; optimal synchronization; physical parts; robust synchronization; sensors; synchronization errors; synchronization problem; tracking design; transfer system; unwanted disturbances; Actuators; Decision support systems; Linear matrix inequalities; Niobium; Real-time systems; Robustness; Synchronization; H2 /H∞ algorirhm; Riccati equation; disturbance rejection; dynamically substructured system; linear matrix inequality; real-time hybrid simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control (CONTROL), 2014 UKACC International Conference on
Conference_Location
Loughborough
Type
conf
DOI
10.1109/CONTROL.2014.6915134
Filename
6915134
Link To Document