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
Link To Document :
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