DocumentCode
2472275
Title
Integrating control design and sensor/actuator selection
Author
Li, Faming ; De Oliveira, Mauricio ; Skelton, Robert E.
Author_Institution
Dept. of Mech. & Aerosp. Eng., California Univ., San Diego, CA
fYear
2006
fDate
13-15 Dec. 2006
Firstpage
6612
Lastpage
6617
Abstract
This paper presents a system level optimal design solution by integrating the feedback control design and sensor/actuator selection. Instead of designing the feedback control law with predefined sensors and actuators, we determine the precision of sensor/actuator and the control law simultaneously such that the total sensor/actuator cost is minimized while the specified control performance is satisfied. Using covariance upper bounded output feedback control, this paper shows that the full order output feedback control design problem remains convex after freeing the selection of sensor/actuator precisions. All the design constraints - output performance, input effort and sensor/actuator cost, are converted to LMIs. Hence a global solution is achieved
Keywords
control system synthesis; feedback; linear matrix inequalities; LMI; actuator selection; covariance upper bounded output feedback control; feedback control design; feedback control law; sensor selection; system level optimal design; Actuators; Control design; Control systems; Costs; Feedback control; Mechanical sensors; Optimal control; Output feedback; Sensor systems; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2006 45th IEEE Conference on
Conference_Location
San Diego, CA
Print_ISBN
1-4244-0171-2
Type
conf
DOI
10.1109/CDC.2006.377386
Filename
4177457
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