DocumentCode :
3744252
Title :
Anti-windup design for systems with input quantization
Author :
Jorge Sofrony;Matthew Turner
Author_Institution :
Faculty of Engineering, Universidad Nacional de Colombia, Bogota, Colombia
fYear :
2015
Firstpage :
7586
Lastpage :
7591
Abstract :
This paper presents a full-order anti-windup compensation strategy for LTI systems with input quantization. The anti-windup compensator functions by comparing the quantized and un-quantized control signal and attempting to ensure that the system´s behavior with quantization is close as possible to the ideal system behavior without quantization. The paper proposes an anti-windup compensator which can provide ultimate boundness stability conditions and also guarantee large-signal ℒ2 gain bounds. The problem is tackled by using the sector and boundness characteristics of the quantizer. The conditions for ultimate boundedness and large signal ℒ2 gain are formulated as a convex optimization problem which allows one to trade-off the size of the ball of ultimate boundedness with the ℒ2 performance objectives. The effectiveness of the proposed technique is shown through a simulation example.
Keywords :
"Quantization (signal)","Stability analysis","Asymptotic stability","Linear systems","Robot sensing systems","Symmetric matrices","Networked control systems"
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type :
conf
DOI :
10.1109/CDC.2015.7403418
Filename :
7403418
Link To Document :
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