An antiwindup approach to enlarging domain of attraction for linear systems subject to actuator saturation

The article considers linear systems subject to actuator saturation. An antiwindup technique is used to enlarge the domain of attraction of the closed-loop system under an a priori designed linear dynamic feedback law. The design of the antiwindup compensation gain is formulated and solved as an ite...

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Published in	IEEE transactions on automatic control Vol. 47; no. 1; pp. 140 - 145
Main Authors	Yong-Yan Cao, Zongli Lin, Ward, D.G.
Format	Journal Article
Language	English
Published	New York, NY IEEE 01.01.2002 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects	Actuators Applied sciences Attraction Computer science; control theory; systems Constraint optimization Control system synthesis Control systems Control theory. Systems Design engineering Design optimization Dynamical systems Dynamics Exact sciences and technology Expansion Feedback Hydraulic actuators Linear systems Saturation Stability analysis Stability criteria Windup Closed feedback Attraction Linear system Saturation Linear matrix inequality Iterative method Numerical method Domain of attraction Optimization Actuator
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ISSN	0018-9286 1558-2523
DOI	10.1109/9.981734

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Abstract	The article considers linear systems subject to actuator saturation. An antiwindup technique is used to enlarge the domain of attraction of the closed-loop system under an a priori designed linear dynamic feedback law. The design of the antiwindup compensation gain is formulated and solved as an iterative optimization problem with LMI constraints. Numerical examples are used to demonstrate the effectiveness of the proposed design technique.
AbstractList	The article considers linear systems subject to actuator saturation. An antiwindup technique is used to enlarge the domain of attraction of the closed-loop system under an a priori designed linear dynamic feedback law. The design of the antiwindup compensation gain is formulated and solved as an iterative optimization problem with LMI constraints. Numerical examples are used to demonstrate the effectiveness of the proposed design technique The article considers linear systems subject to actuator saturation. An antiwindup technique is used to enlarge the domain of attraction of the closed-loop system under an a priori designed linear dynamic feedback law. The design of the antiwindup compensation gain is formulated and solved as an iterative optimization problem with LMI constraints. Numerical examples are used to demonstrate the effectiveness of the proposed design technique.
Author	Ward, D.G. Yong-Yan Cao Zongli Lin
Author_xml	– sequence: 1 surname: Yong-Yan Cao fullname: Yong-Yan Cao organization: Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA – sequence: 2 surname: Zongli Lin fullname: Zongli Lin – sequence: 3 givenname: D.G. surname: Ward fullname: Ward, D.G.
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SubjectTerms	Actuators Applied sciences Attraction Computer science; control theory; systems Constraint optimization Control system synthesis Control systems Control theory. Systems Design engineering Design optimization Dynamical systems Dynamics Exact sciences and technology Expansion Feedback Hydraulic actuators Linear systems Saturation Stability analysis Stability criteria Windup
Title	An antiwindup approach to enlarging domain of attraction for linear systems subject to actuator saturation
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